BEGIN:VCALENDAR VERSION:2.0 PRODID:-//EcoCloud - ECPv6.15.18//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:EcoCloud X-ORIGINAL-URL:https://ecocloud.epfl.ch X-WR-CALDESC:Events for EcoCloud REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20210328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20211031T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20220327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20221030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20271031T010000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:Europe/Moscow BEGIN:STANDARD TZOFFSETFROM:+0300 TZOFFSETTO:+0300 TZNAME:MSK DTSTART:20220101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20260401T121500 DTEND;TZID=Europe/Paris:20260401T131500 DTSTAMP:20260405T035919 CREATED:20260319T150743Z LAST-MODIFIED:20260319T150827Z UID:11826-1775045700-1775049300@ecocloud.epfl.ch SUMMARY:Prof. Prashant Nair: Scaling the Memory Wall DESCRIPTION:Towards 3D-DRAM-based Accelerators for Efficient Generative Inference\nGenerative AI now underpins search\, digital assistants\, and media applications\, making inference cost a first-order design constraint. Unlike traditional compute-bound workloads\, large language and speech models are typically limited by memory bandwidth and capacity rather than raw arithmetic throughput. Thus\, their inference cost is driven as much by data movement as by compute\, and therefore hinges on the memory system’s design. This concern is especially acute during autoregressive decoding\, which must repeatedly stream model weights and key–value (KV) caches at high bandwidths and low latencies while also providing enough capacity to support long context windows and several concurrent users. To make matters worse\, these demands are accelerating with state-of-the-art models now exceeding hundreds of billions of parameters\, context windows expanding from 4K to 128K tokens and beyond\, and mixture-of-experts designs introducing additional irregularity in memory access patterns. Thus\, today’s memory technologies force difficult trade-offs. SRAM can deliver extremely high bandwidth\, but at prohibitive area and capacity limits. HBM offers higher capacity\, but remains constrained by achievable bandwidth and I/O power. Closing this gap will require a fundamental rethinking of how memory is integrated with accelerator logic. \nIn this talk\, I will introduce our upcoming memory-centric accelerator\, which vertically integrates logic with 3D-stacked DRAM to deliver SRAM-level bandwidth and HBM-class capacity while substantially reducing energy consumption. I will describe the architectural challenges addressed by workload-aware channel mapping\, optimized power management\, topology-preserving redundancy\, and thermal-aware reliability mechanisms\, enabling the practical deployment of 3D-DRAM. Evaluations using models such as Llama-3.1\, DeepSeek-V3\, Canary\, and Whisper show that our accelerator achieves significantly higher throughput and responsiveness compared to HBM-based alternatives. I will conclude by examining the broader implications for computer architecture\, particularly how advanced logic-memory integration through hybrid bonding and multi-high stacking can reshape inference cost structures and enable the next generation of trillion-parameter models. \nBiography: Prashant J. Nair is the lead architect of the 3D-memory architecture at d-Matrix for their upcoming accelerators. He is also an Associate Professor at the University of British Columbia (UBC)\, where he leads the Systems and Architectures (STAR) Lab\, and an Affiliate Fellow of the Quantum Algorithms Institute. His research focuses on memory architectures and systems. Dr. Nair’s recognitions include the 2024 TCCA Young Architect Award (the highest early-career honor in computer architecture)\, the 2025 DSN Test of Time Award\, the HPCA 2023 Best Paper Award\, a MICRO 2024 Best Paper nomination\, and the HPCA 2025 Distinguished Artifact Award. Over the past decade\, he has published more than 40 papers in top-tier venues. Prior to his promotion to Associate Professor\, as an Assistant Professor\, he was inducted into all three halls of fame of computer architecture: ISCA\, MICRO\, and HPCA. \nWebsite: https://prashantnair.bitbucket.io/ \nMost Recent Co-Lead Project: https://gimletlabs.ai/blog/low-latency-spec-decode-corsair  URL:https://ecocloud.epfl.ch/event/prof-prashant-nair-scaling-the-memory-wall/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2026/03/prashant.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20260310T103000 DTEND;TZID=Europe/Paris:20260310T120000 DTSTAMP:20260405T035919 CREATED:20260213T094937Z LAST-MODIFIED:20260223T091806Z UID:11756-1773138600-1773144000@ecocloud.epfl.ch SUMMARY:Space x Data DESCRIPTION:ESA’s European Space Deep-Tech Innovation Centre (ESA’s first office in Switzerland) is bridging Swiss scientific excellence with commercial relevance. One approach for this is to host ambitious\, use-driven research programs in the topics of quantum\, materials\, and data science for space. \nWith the quantum-themed program running and the materials project selection completed\, the focus is now on developing an exciting program around the still very broad topic of “Space x Data”. To narrow the scope and to ensure this upcoming program supports ambitious technological challenges where Swiss and European excellence can shine\, the input of the scientific community is invaluable. \nJoin us to learn more about ESDI and its “Phi-Lab” research program platform and how you can help shape the scope of a multi-million-funded program and increase the chances of your most exciting topics to be represented in the call later this year. \n \n REGISTRATION URL:https://ecocloud.epfl.ch/event/space-x-data/ LOCATION:ELE117\, EPFL CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2026/02/spaceXdata.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20260212T140000 DTEND;TZID=Europe/Paris:20260212T173000 DTSTAMP:20260405T035919 CREATED:20260107T155355Z LAST-MODIFIED:20260108T072422Z UID:11737-1770904800-1770917400@ecocloud.epfl.ch SUMMARY:AI and Sustainability in Practice: Challenges and Solutions DESCRIPTION:Is AI part of the climate problem or the sustainability solution? In this hands-on workshop\, participants will explore its carbon footprint\, discover practical tools\, and co-design new pathways — including a visit to EPFL’s EcoCloud facility. \nArtificial Intelligence is becoming increasingly energy-intensive\, with datacenters projected to consume up to 10% of global electricity by 2030. Racks alone may soon reach 1MW per unit\, raising urgent questions about the sustainability of AI infrastructure. The shift from performance-driven to sustainability-driven datacenters presents multiple challenges — and opportunities. \nThis workshop explores these challenges and highlights pathways toward sustainable AI. We will focus particularly on the carbon footprint of datacenters\, while also examining how AI itself can serve as an enabler of sustainability. \nThe session will alternate between short expert inputs and dynamic small-group discussions on key questions. Participants will reflect on the dual role of AI — both as part of the sustainability problem and as part of the solution. \nThe workshop will introduce a new carbon assessment methodology developed at EPFL and include a guided tour of the EcoCloud experimental facility\, where cutting-edge technologies are being tested to reduce AI’s environmental footprint. \nWe will conclude by inviting participants to co-create new approaches and propose innovative paths for building sustainable AI systems. \nTarget audience:\nThe workshop is designed for anyone interested in AI sustainability\, including datacenter providers\, AI practitioners\, policymakers\, researchers\, and students who seek a holistic perspective on sustainability. \nOrganisers:\nXavier Ouvrard et Julia Paolini \nRegistration URL:https://ecocloud.epfl.ch/event/amldworkshop/ LOCATION:SwissTech Convention Center\, Rue Louis Favre 2\, Ecublens\, EPFL\, 1024 CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2026/01/workshop_AI_and_sustainability_in_practice.jpg ORGANIZER;CN="Dr. Xavier Ouvrard":MAILTO:xavier.ouvrard@epfl.ch END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20260210T110000 DTEND;TZID=Europe/Paris:20260210T123000 DTSTAMP:20260405T035919 CREATED:20260107T154102Z LAST-MODIFIED:20260108T095538Z UID:11731-1770721200-1770726600@ecocloud.epfl.ch SUMMARY:AI and Energy: Building a Sustainable Future DESCRIPTION:In collaboration with the Applied Machine Learning Days\, we will explore holistic approaches to sustainable computing\, from renewable energy integration and advanced cooling in data centers to hardware efficiency with custom accelerators\, energy storage solutions\, heat reuse\, and the broader vision of sustainable AI. \nAs AI demand continues to rapidly increase\, its growing energy demand calls for urgent and holistic solutions to be sustainable. During this event\, the talks will address sustainable computing across multiple layers\, from renewable energy integration and advance cooling technologies in data centers to energy-efficient hardware design and custom accelerators. Featured talks include pioneering initiatives such as EPFL’s HeatingBits and EMPA’s HEATWISE project\, which demonstrate how data centers and edge computing facilities can smartly be integrated to be more sustainable by enhancing heat reuse and possibly reducing drastically carbon emissions\, through different means such as battery storage systems and advanced heat reuse and storage. \nWe will also high the role of AI itself in optimizing its own footprint. Beyond technological breakthroughs\, we aim to promote sustainability as a fundamental design principle for future computing systems. Together\, these contributions define a roadmap toward AI that is not only powerful and intelligent but also energy-responsible and sustainable by design. \nTalks: \n\nThe energy wall: success and survival strategies for AI – Prof. Giovanni De Micheli\, EcoCloud\, EPFL\nThe HEATWISE project: Waste heat utilization from edge data centers in tertiary buildings – Dr. Binod Koirala\, Urban Energy Systems Lab\, EMPA\nImproving data centers’ energy efficiency while reducing their carbon footprint: the EPFL HeatingBits project – Prof. Drazen Dujic\, Power Electronics Laboratory\, EPFL\nBeyond the Bottleneck: AI as the catalyst for sustainable computing – Dr. Darong Huang\, Embedded System Laboratory\, EPFL\n\nChair: Dr. Xavier Ouvrard\, EcoCloud\, EPFL \nRegistration URL:https://ecocloud.epfl.ch/event/ai-and-energy-building-a-sustainable-future/ LOCATION:SwissTech Convention Center\, Rue Louis Favre 2\, Ecublens\, EPFL\, 1024 CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2026/01/amld.jpg ORGANIZER;CN="Dr. Xavier Ouvrard":MAILTO:xavier.ouvrard@epfl.ch END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20251111T121500 DTEND;TZID=Europe/Paris:20251111T170000 DTSTAMP:20260405T035919 CREATED:20251029T131219Z LAST-MODIFIED:20251029T131219Z UID:11656-1762863300-1762880400@ecocloud.epfl.ch SUMMARY:lunch&LEARN: Miguel Peón Quirós and colleagues present their HW/SW course on FPGA technology DESCRIPTION:Join us as we welcome Miguel Peón Quirós (EPFL EcoCloud)\, Denisa Constantinescu (ESL – Embedded Systems Lab) Rubén Rodríguez Álvarez (ESL) and Stasa Kostic (ESL) for a new session on how they leveraged hardware–software co-design to foster creativity and critical thinking in their course. \nThey will share how students dealt with harder problems and more freedom\, and what teaching challenges they faced. \nREGISTER URL:https://ecocloud.epfl.ch/event/lunchlearn-miguel-peon-quiros-and-colleagues-present-their-hw-sw-course-on-fpga-technology/ LOCATION:ME A3 31 CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/10/lunchLearnMiguel.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20251104T111500 DTEND;TZID=Europe/Paris:20251104T140000 DTSTAMP:20260405T035919 CREATED:20251009T135512Z LAST-MODIFIED:20251029T133312Z UID:11570-1762254900-1762264800@ecocloud.epfl.ch SUMMARY:Andrea Bonetti of Sony: AI for Chip Design DESCRIPTION:An Industrial Perspective on Gaining a Competitive Edge Through Automation\nThe growing complexity of modern chips and the pressure to maintain a competitive edge in industry are pushing traditional electronic design automation (EDA) tools to their limits\, increasing the need for more customizable and scalable design methodologies. As the demand for more performant and specialized hardware keeps rising on the semiconductor market\, artificial intelligence (AI) is emerging as a transformative force in chip design. This talk explores how AI can optimize key processes in the design of analog circuits and digital systems\, offering a perspective from industry. \nTopics include: \n\ntrends in AI for analog design\, from simulator surrogates to generative AI for layout\nLLMs for RTL coding and AI for efficient verification of digital systems\nan industrial perspective on the in-house development of AI automation tools\n\nAndrea Bonetti received a Master’s degree in Electronic Engineering from Politecnico di Milano\, Italy\, in 2012. In 2011\, he visited the Bio Engineering Laboratory (BEL) at ETH Zurich\, Switzerland. From 2012 to 2014\, he worked as an Analog Design Engineer at AMS AG\, Switzerland\, focusing on the development of audio interfaces with MEMS sensors. He obtained a Ph.D. degree from EPFL\, Switzerland\, in 2019\, under the supervision of Prof. Andreas Burg on the energy/quality trade-offs in digital integrated circuits. In 2016\, he visited the Circuits Research Laboratory at Intel Labs\, USA. From 2019 to 2023\, he worked as a Senior R&D Engineer at CSEM\, Switzerland\, in the System-on-Chip group. Since 2023\, he has been a Staff Research Scientist at Sony AI\, Switzerland\, where he leads a team of researchers on AI for analog circuit design. \n  URL:https://ecocloud.epfl.ch/event/andrea-bonetti-of-sony-ai-for-chip-design/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/10/sonyAI.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20251008T080000 DTEND;TZID=Europe/Paris:20251008T170000 DTSTAMP:20260405T035919 CREATED:20250516T154120Z LAST-MODIFIED:20250828T082826Z UID:11257-1759910400-1759942800@ecocloud.epfl.ch SUMMARY:EcoCloud Annual Event DESCRIPTION:Program URL:https://ecocloud.epfl.ch/event/ecocloud-annual-event/ LOCATION:Lausanne Palace\, Rue du Grand-Chêne 7-9\, Lausanne\, 1002\, Switzerland CATEGORIES:EcoCloud Annual Event ATTACH;FMTTYPE=image/webp:https://ecocloud.epfl.ch/wp-content/uploads/2024/09/palace.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20250925T111500 DTEND;TZID=Europe/Paris:20250925T120000 DTSTAMP:20260405T035919 CREATED:20250915T123146Z LAST-MODIFIED:20250915T153037Z UID:11474-1758798900-1758801600@ecocloud.epfl.ch SUMMARY:The Battle of the Interconnects: Scale-up vs. Scale-out DESCRIPTION:Dr. Javier Picorel of Huawei \nIn 2020 Dr. Picorel gave a talk at the EcoCloud Annual Event on Edge Computing at Huawei. Now he returns with a fascinating presentation about the battle of the interconnects. \nAs traditional scale-up interconnects like NVIDIA’s NVLink and CXL extend beyond single nodes to span racks and clusters\, and new scale-out networks such as UALink and Broadcom’s SUE emerge for low-latency scenarios\, a competitive shift is underway in computer system design. Meanwhile\, the slowdown of technology scaling is prompting exploration of extreme-scale integration\, with innovations like Cerebras’ Wafer-Scale Engine and Tesla’s Dojo poised to further disrupt interconnect architectures. In this evolving landscape\, the key question remains: which interconnect paradigm will define the future of computing? \nJavier Picorel leads the Future Computer Fabrics team at Huawei’s Zurich Research Center\, where he is driving the development of next-generation decomposable-native infrastructure. His team focuses on the tighter integration of applications\, parallel programming models\, networking\, and compute to enable highly modular and elastic computing architectures. Javier’s research spans a broad range of topics in computer architecture\, computer systems\, computer networks\, and hardware-software co-design. He earned his Ph.D. in Computer Science from EPFL in 2017 and was honored with the Huawei Individual Gold Medal in 2021. In 2022\, his work was prominently featured at Huawei Connect\, the company’s flagship annual technology event. \n12:00 to 14:00pm Standing lunch sponsored by Huawei\, next to room BC420 URL:https://ecocloud.epfl.ch/event/the-battle-of-the-interconnects-scale-up-vs-scale-out/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/09/huaweiCH.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20250916T151500 DTEND;TZID=Europe/Paris:20250916T164500 DTSTAMP:20260405T035919 CREATED:20250910T135503Z LAST-MODIFIED:20250910T140058Z UID:11464-1758035700-1758041100@ecocloud.epfl.ch SUMMARY:High-Level Synthesis for Accelerator Design: Current Trends and Emerging Directions DESCRIPTION:Hardware specialization is increasingly essential to meet the performance and energy demands of modern applications. High-level synthesis (HLS) has emerged as a key enabling technology\, allowing designers to rapidly generate specialized accelerators while exploring complex trade-offs between computation\, communication\, and memory. Significant challenges remain\, however\, including the need to orchestrate efficient data movement across memory hierarchies\, optimize communication architectures\, and protect both data and intellectual property in accelerator design. \nThis talk will discuss how compiler optimizations\, HLS\, and hardware design techniques can be combined to address these challenges. I will first discuss current trends\, including the growing integration of HLS into heterogeneous system design\, advances in communication and memory optimization\, and the increasing role of hardware-level security. I will then highlight emerging directions\, including the use of large language models to support hardware design automation and the integration of HLS into fully open-source EDA tool flows. \nProf. Christian Pilato\nChristian Pilato is an Associate Professor at Politecnico di Milano. He received his Ph.D. in Information Technology from Politecnico di Milano in 2011. He has been a Postdoctoral Researcher at Columbia University and the University of Lugano\, and a Visiting Researcher at New York University\, TU Delft\, and Chalmers University of Technology. \nRead on… \n  URL:https://ecocloud.epfl.ch/event/high-level-synthesis-for-accelerator-design-current-trends-and-emerging-directions/ LOCATION:ELA2\, EPFL CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/09/milan.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20250630T083000 DTEND;TZID=Europe/Paris:20250630T180000 DTSTAMP:20260405T035919 CREATED:20250520T133925Z LAST-MODIFIED:20250520T134028Z UID:11261-1751272200-1751306400@ecocloud.epfl.ch SUMMARY:SwissChips: Fostering chip-design research in Switzerland DESCRIPTION:The first annual SwissChips event will take place at the Landesmuseum in Zurich\, in the modern Willy G.S. Hirzel auditorium. \nThis event will bring together SwissChips researchers\, universities of applied sciences and external collaborators\, as well as industry leaders for a day of talks\, posters\, networking and discussion. Our vision is to create a strong platform for Swiss research in semiconductor technologies\, microelectronics\, and cutting-edge integrated circuit (IC) design. \nWe welcome all SwissChips researchers and researchers at Swiss universities and universities of applied sciences to join us for the annual event. Members of the Swiss semiconductor and microelectronics industry and external participants are also encouraged to attend (with a 100 CHF registration fee that will be put towards student chip design and other awards). \nProgram and registration URL:https://ecocloud.epfl.ch/event/swisschips-fostering-chip-design-research-in-switzerland/ LOCATION:Landesmuseum\, Zurich\, Landesmuseum\, Zurich\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/05/landesmuseum.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20250520T183000 DTEND;TZID=Europe/Paris:20250520T213000 DTSTAMP:20260405T035919 CREATED:20250515T094131Z LAST-MODIFIED:20250515T094131Z UID:11240-1747765800-1747776600@ecocloud.epfl.ch SUMMARY:Exhibition Opening for Utop'IA DESCRIPTION:Venez découvrir l’univers d’Utop’IA\, une bande dessinée éditée par EPFL Press qui explore les enjeux environnementaux de l’intelligence artificielle. Ce projet\, initié par le Centre LEARN\, s’appuie sur un comité scientifique d’experts et d’expertes en IA\, en durabilité et en sciences de l’apprentissage. \nProgramme: \n\nDiscussions avec le dessinateur Herji\, les membres du comité scientifique et l’équipe du Centre LEARN à l’origine du projet.\nVerrée et exposition: découverte de la conception de la BD et des ressources pédagogiques créées autour de ses thématiques.\n\nInfos pratiques:\nOuverture des portes à 18h30\nLieu: Hall du Rolex Learning Center (EPFL)\nPublic: ouvert au grand public\nEntrée libre mais places limitées: réservation obligatoire via la billetterie gratuite\nPour en savoir plus\, rendez-vous sur notre page dédiée URL:https://ecocloud.epfl.ch/event/exhibition-opening-for-utopia/ LOCATION:EPFL Rolex Learning Center\, EPFL\, Ecublens\, 1015\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/05/1108x622.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20250128T160000 DTEND;TZID=Europe/Paris:20250128T180000 DTSTAMP:20260405T035919 CREATED:20250122T142620Z LAST-MODIFIED:20250122T142620Z UID:11009-1738080000-1738087200@ecocloud.epfl.ch SUMMARY:Designing Computer Systems under Sanctions and Sustainability DESCRIPTION:August Ning\, Doctoral Assistant \nPrinceton University \nHost: Babak Falsafi\, PARSA \nRecently events such as global chip shortages\, semiconductor subsidies\, and the rise of large scale machine learning have emphasized the importance of semiconductors in our everyday lives. Recent regulations by the United States of America placed export controls on flagship GPU devices used for AI applications. Governments and companies alike have policies toward reducing carbon emissions\, specifically related to information and communications technology. \nComputing sanctions and sustainability metrics fundamentally change how computer systems are designed and optimized. First\, we will overview computing sanctions and how they affect chip architectures. Existing sanction specifications seem counterintuitive to how architects traditionally approach chip design. We show how existing policies make chip manufacturing more expensive and how LLM inference performance can still be improved compared to restricted baselines. Then I will detail how architecture-first policies can reduce the economic externalities caused by existing regulations. \nThen we will focus on how computer system designers can reason about sustainability. We analyze fine-grained data center computing and energy data towards building a framework for evaluating sustainability and cost trade offs. To conclude\, we will motivate the important role of computer scientists for crafting fair\, effective\, and impactful computing policy. \nBio: \nAugust Ning is a senior PhD candidate at Princeton University\, working with Prof. David Wentzlaff. His research interests span computer architecture under broadly defined economic constraints such as chip manufacturing\, policy\, and sustainability. He is supported by the NSF Graduate Research Fellowship and Princeton’s Gordon YS Wu Fellowship. URL:https://ecocloud.epfl.ch/event/designing-computer-systems-under-sanctions-and-sustainability/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2025/01/princeton.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241008 DTEND;VALUE=DATE:20241009 DTSTAMP:20260405T035919 CREATED:20240508T090437Z LAST-MODIFIED:20241111T080412Z UID:10376-1728345600-1728431999@ecocloud.epfl.ch SUMMARY:EcoCloud Annual Event 2024 DESCRIPTION:Our 2024 Annual Event will be a in-person agenda with networking sessions\, focusing on 4 new multi-center projects and initiatives moving forward in 2024: \n– AI/LLM energy/carbon footprint (Swiss AI Initiative and AI Center of EPFL)\n– Software stacks for a sustainable and intelligent edge-to-cloud ecosystem\n– New sustainable computing experimental facility for cloud technologies development at EcoCloud\n– X-HEEP: Open-source hardware and software computing platforms for edge acceleration \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Prof. Atienza\, Prof. Fontcuberta and Prof. De Micheli\n \n \n \n \n \n Prof. David Atienza\, Prof. Anna Fontcuberta and Prof. Giovanni De Micheli\n \n \n \n \n \n Prof. Giovanni De Micheli\, Scientific Director of EcoCloud\n \n \n \n \n \n Prof. Giovanni De Micheli\n \n \n \n \n \n Prof. Natassa Ailamaki\n \n \n \n \n \n Prof. Anna Fontcuberta\, President Elect of EPFL\n \n \n \n \n \n Prof. Natassa Ailamaki\n \n \n \n \n \n Dr. Hassan Chafi\, VP Research and Advanced Development\, Oracle\n \n \n \n \n \n Dr. Hassan Chafi\n \n \n \n \n \n Prof. Olga Fink and David Atienza\n \n \n \n \n \n Prof. Olga Fink\n \n \n \n \n \n Prof. Olga Fink\n \n \n \n \n \n Prof. Olga Fink\n \n \n \n \n \n Prof. Maria Brbic\n \n \n \n \n \n Prof. Maria Brbic\n \n \n \n \n \n Prof. Maria Brbic\n \n \n \n \n \n Prof. Antoine Bosselut\n \n \n \n \n \n Prof. Antoine Bosselut\n \n \n \n \n \n Prof. Sanidhya Kashyap\n \n \n \n \n \n Prof. Clément Pit-Claudel\n \n \n \n \n \n Prof. Thomas Bourgeat\n \n \n \n \n \n Prof. Thomas Bourgeat\n \n \n \n \n \n Dr. Miguel Peón Quirós and Dr. Xavier Ouvrard\n \n \n \n \n \n Dr. Miguel Peón Quirós and Dr. Xavier Ouvrard\n \n \n \n \n \n Dr. Miguel Peón Quirós and Dr. Xavier Ouvrard\n \n \n \n \n \n Dr. Alexandre Levisse and David Atienza\n \n \n \n \n \n Dr. Alexandre Levisse\n \n \n \n \n \n \n \n \n Dr. Alexandre Levisse\n \n \n \n \n \n Poster session\n \n \n \n \n \n Poster session\n \n \n \nhttps://ecocloud.epfl.ch/wp-content/uploads/2024/11/EcoCloud-2024.mp4 URL:https://ecocloud.epfl.ch/event/annual-event-2/ LOCATION:Lausanne Palace\, Rue du Grand-Chêne 7-9\, Lausanne\, 1002\, Switzerland CATEGORIES:EcoCloud Annual Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2023/06/2022-scaled.jpeg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20241007T080000 DTEND;TZID=Europe/Paris:20241007T163000 DTSTAMP:20260405T035919 CREATED:20240624T092434Z LAST-MODIFIED:20241006T071755Z UID:10456-1728288000-1728318600@ecocloud.epfl.ch SUMMARY:Swiss Federal Offices Day 2024 DESCRIPTION:Discover the Swiss Federal Offices’ vision of research funding and establish meaningful connections with key stakeholders in the funding process! \nFor one day\, representatives of Federal Offices who play pivotal role in research funding will be present on the EPFL campus. \nEngage in direct discussions with Federal staff\, providing a platform for tailored guidance and discourse. \nKey highlights include: Presentations – Matchmaking Sessions – Posters – Networking Opportunities \nFree for EPFL members\, open to the Swiss research community. \n \nInformation and program URL:https://ecocloud.epfl.ch/event/sfod2024/ LOCATION:EPFL Rolex Learning Center\, EPFL\, Ecublens\, 1015\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2024/06/ronnie-schmutz-SuATc8TPrMQ-unsplash_mirror-1920x1080-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20240830T110000 DTEND;TZID=Europe/Paris:20240830T123000 DTSTAMP:20260405T035919 CREATED:20240627T060810Z LAST-MODIFIED:20240822T093511Z UID:10468-1725015600-1725021000@ecocloud.epfl.ch SUMMARY:Future Health: Harnessing Multimodal Data and GenAI for Health Promotion DESCRIPTION:Speaker: Amir M. Rahmani\, PhD\, MBA \nAffiliation: Professor of CS\, EECS\, and Nursing\, Co-Director of the UCI Institute for Future Health\, University of California\, Irvine\, USA \n“Future Health” emphasizes the importance of recognizing each individual’s uniqueness\, which arises from their specific omics\, lifestyle\, environmental\, and socioeconomic conditions. Thanks to advancements in sensors\, mobile computing\, ubiquitous computing\, and artificial intelligence (AI)\, we can now collect detailed information about individuals. This data serves as the foundation for creating personal models\, offering predictive and preventive advice tailored specifically to each person. These models enable us to provide precise recommendations that closely align with the individual’s predicted needs. \nIn my presentation\, I will explore how AI\, including generative AI\, and wearable technology are revolutionizing the collection and analysis of big health data in everyday environments. I will discuss the analytics used to evaluate physical and mental health and how smart recommendations can be made objectively. Moreover\, I will illustrate how leveraging Large Language Models (LLMs)-powered conversational health agents (CHAs) can integrate personal data\, models\, and knowledge into healthcare chatbots. \nAdditionally\, I will present our open-source initiative on developing OpenCHA. This integration allows for the creation of personalized chatbots\, enhancing the delivery of health guidance directly tailored to the individual. \n  \nBiography: \nAmir M. Rahmani is the founder of the Health SciTech Group at the University of California\, Irvine (UCI) and the co-founder and Co-Director of the Institute for Future Health\, a campus-wide Organized Research Unit at UCI. He is also a lifetime docent (Adjunct Professor) at the University of Turku (UTU)\, Finland. \nHis research includes AI in healthcare\, ubiquitous computing\, AI-powered bio-signal processing\, health informatics\, and big health data analytics. He has been leading several NSF\, NIH\, Academy of Finland\, and European Commission-funded projects on Smart Pain Assessment\, Community-Centered Care\, Family-centered Maternity Care\, Stress Management in Adolescents\, and Remote Elderly and Family Caregivers Monitoring. \nHe is the co-author of more than 350 peer-reviewed publications and the associate editor-in-chief of ACM Transactions on Computing for Healthcare and Frontiers in Wearable Electronics journals and the Editorial Board of Nature Scientific Reports. He is a distinguished member of the ACM and a senior member of the IEEE. URL:https://ecocloud.epfl.ch/event/future-health-harnessing-multimodal-data-and-genai-for-health-promotion/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2024/06/uci.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20240624T090000 DTEND;TZID=Europe/Paris:20240624T133000 DTSTAMP:20260405T035919 CREATED:20240605T072520Z LAST-MODIFIED:20240605T072802Z UID:10442-1719219600-1719235800@ecocloud.epfl.ch SUMMARY:AVP-CP Centers Day DESCRIPTION:Dr. Xavier Ouvrard will present EcoCloud’s activities at 09:25. \nFull program URL:https://ecocloud.epfl.ch/event/avp-cp-centers-day/ LOCATION:Room BCH 2103 (CECAM) CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2024/06/avp.jpg ORGANIZER;CN="Myriam Mercier":MAILTO:lalla.mercier-lamrani@epfl.ch END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20240418T120000 DTEND;TZID=Europe/Paris:20240418T133000 DTSTAMP:20260405T035919 CREATED:20240515T142536Z LAST-MODIFIED:20240515T144749Z UID:10419-1713441600-1713447000@ecocloud.epfl.ch SUMMARY:Data Champions Lunch Talks DESCRIPTION:Green Bytes: Data-Driven Approaches to EPFL Sustainability\nTake part in the next Data Champions Lunch Talks “Green Bytes: Data-Driven Approaches to EPFL Sustainability”. The event is free upon registration\, and sandwiches and drinks are offered for each participant by the EPFL Library. \nThe event is open to everyone interested. \nDr. Miguel Peon Quiros\, Computer Scientist and administrator of the EPFL EcoCloud will present: \n“Data and sustainability at a server level” \n  URL:https://ecocloud.epfl.ch/event/data-champions-lunch-talks/ CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2024/05/datachampion.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240325 DTEND;VALUE=DATE:20240328 DTSTAMP:20260405T035919 CREATED:20240109T140434Z LAST-MODIFIED:20240109T140538Z UID:10117-1711324800-1711583999@ecocloud.epfl.ch SUMMARY:X-HEEP Workshop: Enabling rapid and sustainable RISC-V based research using open source HW and SW DESCRIPTION:As our world becomes more interconnected and reliant on digital systems\, the need for transparency\, accessibility\, and collaborative innovation in hardware and software design has become paramount. Closed and proprietary solutions often limit user sovereignty and control\, hinder interoperability\, and stifle innovation by locking users into a specific ecosystem. In contrast\, open-source initiatives are leading towards rapid prototyping of novel ideas and systems and unlocking from any specific vendor by empowering academic and industrial users to control\, modify\, and build upon existing technology. This workshop will bring both academic and industry members into a discussion about open-source hardware (HW) and software (SW) interests and showcase the potential of open-source technology with the eXtendable Heterogeneous Energy-Efficient Platform\, X-HEEP. \nX-HEEP is an EU and RISC-V-based enabler platform for rapid and sustainable VLSI/ASIC system design\, automation\, and testing. Following the success stories of open-source projects in the SW ecosystem\, with Linux kernel as the best example\, X-HEEP aims to foster innovative\, easy-to-integrate\, easy-to-use ASIC-oriented technology. Similarly\, other open-source HW initiatives\, such as OpenHW Group\, OpenRoad\, and SkyWater are already revolutionising the semiconductor industry by democratising chip design via open-source IPs\, EDA tools\, and PDKs. To this end\, X-HEEP enables HW research and freely delivers industrial-grade\, silicon-proven open-source CPU IPs from OpenHW. Together with our academic and industrial partners\, we will showcase the usage of X-HEEP for \n\nSW engineers to deploy end-to-end applications\,\nHW engineers to integrate and evaluate their own IPs\, and\nsystem-level designers to architect a full system using its configurability and extendibility capabilities.\n\nOpen-source HW and SW are becoming essential in the rapidly evolving technological landscape. This workshop fosters a shared knowledge and creativity culture\, enabling a broader range of applications\, from affordable healthcare devices to sustainable energy solutions. It stands as a critical pillar for a more inclusive\, innovative\, and sustainable technological future. \nCall for Posters\nTo improve the discussion possibilities among junior and senior researchers\, in this workshop\, a Poster Competition is scheduled. We invite submissions on\, but not limited to\, the following topics: \n\nOpen-source SW applications (end-to-end) being deployed into open-source Systems (SoC\, NoC\, SiP\, etc)\nOpen-source HW Accelerators integrated into open-source Systems (SoC\, NoC\, SiP\, etc).\nOpen-source systems (SoC\, NoC\, SiP\, etc) offering extra versatility and configurability in comparison to COTS solutions.\n\nA submission can describe a novel scientific result\, provide a position statement about a new and relevant problem\, or report a case study on practical experiences with a topic from the list above. The submissions should not be formally published in the past. The workshop will have no formal proceedings. Accepted posters can\, at the discretion and with an approval of their authors\, be published on the workshop’s website. \nCALL FOR POSTERS\nAuthor instructions: \nSubmissions in form of 1-page PDF file in Pentachart format (possible template in here) should be submitted through SoftConf: \nSUBMISSIONS\nKey dates\n\n\n\nSubmission deadline:\nFebruary 5\, 2024\n\n\nAcceptance notification:\nFebruary 14\, 2024\n\n\nWorkshop:\nMarch 25-27\, 2024 (precise half-day slot to be decided later)\n\n\n\nRegistration\nThis workshop is co-located with the Design\, Automation and Test in Europe Conference and will use its registration facilities. Please register through the DATE website. The early-bird deadline is January 24\, 2024 \nREGISTRATION\n\nWorkshop organizers\nDavid Atienza\, ESL\, EPFL\, Switzerland\nDavide Schiavone\, ESL\, EPFL\, Switzerland\nJose Miranda\, ESL\, EPFL\, Switzerland\nAlfonso Rodríguez\, CEI\, UPM\, Spain\nAlessio Burrello\, Polytechnic of Turin\, Italy\nDaniele Jahier Pagliari\, Polytechnic of Turin\, Italy\nMaurizio Martina\, Polytechnic of Turin\, Italy \nWorkshop co-organizers and main contributors\nMr. Juan Sapriza\, ESL\, EPFL\, Switzerland\nMr. Ruben Rodriguez\, ESL\, EPFL\, Switzerland\nMr. Hossein Taji\, ESL\, EPFL\, Switzerland\nMr. Simone Machetti\, ESL\, EPFL\, Switzerland\nMr. Stefano Albini\, ESL\, EPFL\, Switzerland\nEmbecosm\, UK URL:https://ecocloud.epfl.ch/event/x-heep-date2024/ LOCATION:Palacio De Congresos\, Valencia\, Palacio De Congresos\, Valencia\, Spain CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2023/05/xheep-team.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240325 DTEND;VALUE=DATE:20240326 DTSTAMP:20260405T035919 CREATED:20240117T103236Z LAST-MODIFIED:20240117T103312Z UID:10161-1711324800-1711411199@ecocloud.epfl.ch SUMMARY:Applied Machine Learning Day DESCRIPTION: URL:https://ecocloud.epfl.ch/event/applied-machine-learning-day/ LOCATION:SwissTech Convention Center\, Rue Louis Favre 2\, Ecublens\, EPFL\, 1024 ATTACH;FMTTYPE=image/png:https://ecocloud.epfl.ch/wp-content/uploads/2024/01/amld.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240314 DTEND;VALUE=DATE:20240315 DTSTAMP:20260405T035919 CREATED:20240117T102636Z LAST-MODIFIED:20240315T132023Z UID:10159-1710374400-1710460799@ecocloud.epfl.ch SUMMARY:EPFL Engineering Industry Day DESCRIPTION:Prof. Volkan Cevher and Xavier Ourvrard of EcoCloud\n \n \n\n \n\n\n \n\n \n\n \n \n \n Prof. Volkan Cevher of EcoCloud\n \n \n\n \n\n\n \n\n \n\n \n \n \n Xavier Ouvrard at the EcoCloud stand URL:https://ecocloud.epfl.ch/event/epfl-engineering-industry-day-2024/ LOCATION:SwissTech Convention Center\, Rue Louis Favre 2\, Ecublens\, EPFL\, 1024 ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2024/03/volkan_totem.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20240125T143000 DTEND;TZID=Europe/Paris:20240125T153000 DTSTAMP:20260405T035919 CREATED:20240117T102429Z LAST-MODIFIED:20240205T172019Z UID:10156-1706193000-1706196600@ecocloud.epfl.ch SUMMARY:Oracle Labs Presentation & Tech Talk DESCRIPTION:Research in Oracle Labs: AI\, LLM\, Vector Database\, Data Analytics and Business Applications\nThis talk focuses on Oracle Labs’ role in the rapidly changing world of AI and data analytics. We will showcase Oracle’s latest research and developments in these areas\, emphasizing how AI is transforming business practices. \nWe start with an overview of how database is evolving for AI workload. We introduce several vector database features announced in the recent Oracle Cloud World and discuss technical challenges for academia to solve. We show native support of graph data modelling in database and its large-scale\, elastic execution\, which enables to manage complex data relationships and extract insights from huge datasets. We’ll discuss the technical hurdles and recent advancements in scalable data processing. \nNext\, we discuss Oracle Lab’s work in applying AI to enterprise applications. This includes an overview of how Oracle Lab’s Recommendation System is improving user experience and business intelligence for enterprise applications. We also cover how Oracle’s AutoMLx toolset incorporates fairness metrics\, helping users to add considerations into their AI applications. We then show how modern AI is crucial for addressing issues in cybersecurity as well. \nLastly\, we explore other uses of Large Language Models (LLMs) in solving business problems\, with a focus on Code Generation and Data Integration. We’ll discuss the challenges of using LLMs for practical business applications\, particularly in code generation\, and highlight our approaches. In Data Integration\, we’ll examine how LLMs help in merging different unstructured data sources. \n  \nSungpack Hong is a Senior Research Director at Oracle Labs. He joined Oracle at 2012 after getting his PhD from Stanford University. He leads several research projects regarding graph data processing\, large scale data analytics\, domain-specific languages\, and machine learning. URL:https://ecocloud.epfl.ch/event/oracle-labs-presentation-tech-talk/ LOCATION:INF328\, EPFL\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2022/05/1280px-Oracle_Headquarters_Redwood_Shores-e1653895626857.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20231201T120000 DTEND;TZID=Europe/Paris:20231201T140000 DTSTAMP:20260405T035919 CREATED:20231120T091159Z LAST-MODIFIED:20240119T123138Z UID:9948-1701432000-1701439200@ecocloud.epfl.ch SUMMARY:X-Agora - the X-HEEP Exchange Space DESCRIPTION:We have a lot of people working on X-HEEP from different perspectives. It’s hard to keep track of what is done or can be done. It’s good to know about new changes that might affect our work. We can exchange ideas and make our work even better! \nGeneral Announcements\nWhy an Agora\nX-HEEP overview\nDynamic \nTeams Presentations\nFirmware\nHardware\nAccelerators\nApplications \nResolutions URL:https://ecocloud.epfl.ch/event/x-agora-the-x-heep-exchange-space/ LOCATION:ELG123\, EPFL\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/png:https://ecocloud.epfl.ch/wp-content/uploads/2023/11/x-agora.png ORGANIZER;CN="Juan Sapriza":MAILTO:juan.sapriza@epfl.ch END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Moscow:20231010T083000 DTEND;TZID=Europe/Moscow:20231010T180000 DTSTAMP:20260405T035919 CREATED:20230601T123649Z LAST-MODIFIED:20230905T062206Z UID:9282-1696926600-1696960800@ecocloud.epfl.ch SUMMARY:EcoCloud Annual Event - 2023 DESCRIPTION:Save the date!\nThe EcoCloud Annual Event on IT Sustainability returns to Lausanne Palace: \n8:30am to 6:00pm\, Tuesday\, October 10th\, 2023 \nProgram available here URL:https://ecocloud.epfl.ch/event/ecocloud-annual-event-2023/ LOCATION:Lausanne Palace\, Rue du Grand-Chêne 7-9\, Lausanne\, 1002\, Switzerland CATEGORIES:EcoCloud Annual Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2022/04/sdh_lausanne_palace_overview_06.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20230830T080000 DTEND;TZID=Europe/Paris:20230901T170000 DTSTAMP:20260405T035919 CREATED:20230602T163926Z LAST-MODIFIED:20230602T164254Z UID:9394-1693382400-1693587600@ecocloud.epfl.ch SUMMARY:Connecting Artificial Intelligence to Internet of Things DESCRIPTION:The technological advances in miniaturized\, ultra-low power embedded systems\, in communication protocols and in AI techniques\, are leading to disruptive innovations. How to embrace the opportunities and challenges offered by smart machine learning devices and IoT connected technologies? \nConnecting Artificial Intelligence (AI) to Internet of Things (IoT) will cover three main themes: \n\nSmart machine learning devices enabeling edge AI in cloud-based IoT (hardware and software designs\, AI technologies and power/energy requirements)\,\nCommunication for IoT (latest protocols and standards) and\nExamples of Industry 4.0\, smart homes and wearable IoT devices (including practical case studies of application-oriented IoT designs).\n\nThis course is designed for top and middle managers wanting to learn the fundamentals and understand the latest trends of IoT technologies and edge AI computing. It is organized by EPFL (Ecole Polytechnique Fédérale de Lausanne) and will be held in Lausanne\, Switzerland. \nInstructors\n\nProf. David Atienza Alonso\, Full Professor of Electrical & Computer Engineering and Head of Embedded Systems Laboratory (ESL)\, EPFL\nMr. Matteo Feo\, Electronics & Digital Experience\, Nespresso\, Nestlé System Technology Center\nMr. Ramzi Bouzerda\, Founder and CEO at Droople\nProf. Andreas Burg\, Associate Professor of Electrical Engineering and Head of Telecommunications Circuits Laboratory (TCL)\, EPFL\nDr. Miguel Peón Quiros\, Sustainable Computing Systems Manager\, EcoCloud Center\, EPFL\nDr. Martino Ruggiero\, Head of Systems Architectures and Special Projects\, PMI Science & Innovation\nMr. Denis Vörös\, Head of Product at Droople\nProf. Marina Zapater\, Associate Professor\, REDS Institute\, HEIG-VD\, HES-SO\, Switzerland URL:https://ecocloud.epfl.ch/event/connecting-artificial-intelligence-to-internet-of-things/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2023/05/AdobeStock_207856512_cropped-002.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20230612T100000 DTEND;TZID=Europe/Paris:20230612T110000 DTSTAMP:20260405T035919 CREATED:20230605T080043Z LAST-MODIFIED:20230605T081219Z UID:9411-1686564000-1686567600@ecocloud.epfl.ch SUMMARY:Computing Near Storage DESCRIPTION:Prof. Paolo Ienne is delighted to invite Arvind of MIT to give the following talk: \nWe live in an age where an enormous amount of data is being collected constantly because of smart phones\, the ubiquitous presence of sensors and the wide-spread use of social media. Useful and cost-effective analysis of this data is the biggest economic driver for the IT industry. Such analyses are often done in data centers or on a cluster of machines because they involve applying sophisticated algorithms to terabyte-size graphs\, which are extremely irregular and sparse. We will show how low-power appliances for such analyses can be built using flash storage and hardware accelerators. Such appliances are likely to be 10X cheaper than 16-32 node server clusters and will come in the form of an SSD to be plugged into your laptop. \nArvind is the Head of the Computer Science Faculty and the Charles and Jennifer Johnson Professor of Computer Science and Engineering at MIT. Arvind’s group\, in collaboration with Motorola\, built the Monsoon dataflow machines and its associated software in the late eighties. In 2000\, Arvind started Sandburst which was sold to Broadcom in 2006. In 2003\, Arvind co-founded Bluespec Inc.\, an EDA company to produce a set of tools for high-level synthesis. Arvind’s current research focus is to enable the rapid development of embedded systems and designing complex digital chips with associated correctness proofs. Arvind is a Fellow of IEEE and ACM\, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. URL:https://ecocloud.epfl.ch/event/computing-near-storage/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2023/06/arvind-e1685952141331.jpeg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20230601T120000 DTEND;TZID=Europe/Paris:20230601T140000 DTSTAMP:20260405T035919 CREATED:20230601T105107Z LAST-MODIFIED:20230602T131702Z UID:9258-1685620800-1685628000@ecocloud.epfl.ch SUMMARY:Innovation for Energy-Efficient Deep Learning DESCRIPTION:Dr. Gourav Datta of University of Southern California Viterbi\, Electrical Engineering\, gave a presentation on \nIn-Sensor & Neuromorphic Computing are all you need for Energy-Efficient Deep Learning\nThis talk will focus on two research thrusts in energy and latency-efficient edge intelligence. \nThe first thrust is inspired by the fact that spiking neural networks (SNNs) are a promising low-power alternative to compute and memory-expensive DNNs\, due to their high activation sparsity and use of accumulates (AC) instead of expensive multiply-and-accumulates (MAC). However\, most existing SNNs require multiple time steps for acceptable inference accuracy\, hindering real-time deployment and increasing energy consumption. This motivates the need for novel training frameworks to optimize source DL models\, their conversion to target SNNs\, and subsequent SNN fine-tuning\, which I will discuss in this talk. \nThe second thrust is inspired by the fact that modern image sensors generate huge amounts of high-resolution visual data that typically must be transferred to downstream CPUs/accelerators for computer vision (CV) processing. This data transfer requires significant bandwidth and can dominate the total energy consumption\, particularly when the CV processing is heavily optimized using SNNs. \nI will discuss a novel in-sensor computing paradigm based on CNNs\, coupled with intelligent algorithm-hardware co-design that can mitigate this concern. This paradigm is the first to demonstrate the feasibility of enabling all the computational aspects of modern CNN layers inside image sensors. Coupled with the optimized SNNs\, this paradigm can reduce the total system energy-delay product (EDP) of several on-device CV workloads by two orders of magnitude compared to existing approaches without significantly affecting the performance. \nGourav Datta\n\nDr. Gourav Datta (Graduate Student Member\, IEEE) received the B.Tech. Degree in instrumentation engineering with a minor in electronics and electrical communication engineering from the Indian Institute of Technology\, Kharagpur\, in 2018. He has recently completed a PhD at the University of Southern California\, USA. His research interests include energy and latency-efficient algorithm-hardware co-design for machine learning at the edge. He is a finalist of the Qualcomm Innovation fellowship 2022 (North America)\, a recipient of the IEEE Graduate Fellowship on Applied Superconductivity\, and a Ming Hsieh Ph.D. scholar. During his PhD tenure he has published 20 peer-reviewed papers in top-tier venues such as Scientific Reports\, Frontiers in Neuroscience\, TCAS-I\, DATE\, and WACV\, among others. URL:https://ecocloud.epfl.ch/event/innovation-for-energy-efficient-deep-learning/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/png:https://ecocloud.epfl.ch/wp-content/uploads/2023/06/IMG_3218.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20230429 DTEND;VALUE=DATE:20230501 DTSTAMP:20260405T035919 CREATED:20230602T162643Z LAST-MODIFIED:20230602T164147Z UID:9384-1682726400-1682899199@ecocloud.epfl.ch SUMMARY:IT for Sustainability and Sustainable IT: are both possible? DESCRIPTION:Can IT be a true enabler for a sustainable society\, particularly in cities and for urban infrastructure? What are digital twins and are they the answer? How can we use minimal energy for increasing data needs and should sustainable certification play a role? \n \n\n\n \n \n \n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n Members of the EcoCloud scientific advisory board in a panel session\n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n \n \n\n \n \n \n\n \n\n \nSpeakers:\nProf. Babak Falsafi (IC-PARSA) CEO of Swiss Datacenter Efficiency Association – SDEA\nProf. Edouard Bugnion (IC-DCSL) Academic director of SDSC and EPFL Scientific Research Computing Platform\nProf. Mario Paolone (STI-DESL) Previous scientific Director of the EPFL Energy Center\nProf. David Atienza (STI-ESL) Scientific Director of EcoCloud\nProf. Alexandre Alahi (ENAC-VITA) Head of the Visual Intelligence for Transportation laboratory\nModération : Gaël Hurlimann \nThe EcoCloud Stand at the EPFL Rolex Learning Center\n\n\n \n \n \n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n Miguel Peón & David Atienza of EcoCloud at the EPFL Open Days\, April 2023 URL:https://ecocloud.epfl.ch/event/it-for-sustainability-and-sustainable-it-are-both-possible/ LOCATION:EPFL Rolex Learning Center\, EPFL\, Ecublens\, 1015\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2023/05/IMG_3043-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20230308T080000 DTEND;TZID=Europe/Paris:20230308T170000 DTSTAMP:20260405T035919 CREATED:20230602T153759Z LAST-MODIFIED:20230605T084739Z UID:9376-1678262400-1678294800@ecocloud.epfl.ch SUMMARY:Engineering Industry Day 2023 DESCRIPTION:David Atienza\, Scientific Director of EcoCloud\n  \n\n\nCooling microchips with tailor-made microfluidic channels\n\n\n\n\n \n \n \n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n \n \n\n \n \n \n\n \n\n \nRemco van Erp\, Director of Corintis\n Read the presentation \nRead more about Corintis \n\nMachine Learning to identify Nespresso capsules\, with Matteo Feo\n\n\n \n \n \n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n \n \n\n \n \n \n\n \n\n \nMatteo Feo of Nespresso and EPFL\, pictured with Holger Frauenrath and David Atienza\nRead the presentation \nRead the feature on the Nespresso Challenge \nRead more about ML-enabled AI URL:https://ecocloud.epfl.ch/event/engineering_industry_day_2023/ LOCATION:SwissTech Convention Center\, Rue Louis Favre 2\, Ecublens\, EPFL\, 1024 CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/png:https://ecocloud.epfl.ch/wp-content/uploads/2023/03/IMG_2860-e1678782096483.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20230227T100000 DTEND;TZID=Europe/Paris:20230227T120000 DTSTAMP:20260405T035919 CREATED:20230605T073943Z LAST-MODIFIED:20230605T074358Z UID:9405-1677492000-1677499200@ecocloud.epfl.ch SUMMARY:Can we automate integrated circuit design? DESCRIPTION:Jason Cong\, Director of the Center for Domain-Specific Computing (CDSC) of UCLA\, has been invited to EPFL by the IC Faculty. \nAs we are near the end of Moore’s Law scaling\, there is a great need to design various kinds of customized accelerators for much higher performance and energy efficiency. But integrated circuit (IC) designs remain a black art to many. Given the success of deep learning in many domains in recent years\, a natural question is if it is possible to fully automate IC designs. In this talk\, we present our latest research on this topic. By coupling high-level synthesis with a set of deep learning techniques\, such as graph-based neural networks and meta learning\, as well as microarchitecture guided optimization for regular structures\, such as systolic arrays and stencil computation\, we show that it is possible to automate IC designs so that most software programmers can design their own customized ICs for a wide range of applications. \nJason Cong is the Volgenau Chair for Engineering Excellence Professor at the UCLA Computer Science Department (and a former department chair)\, with joint appointment from the Electrical and Computer Engineering Department. He is the director of Center for Domain-Specific Computing (CDSC) and the director of VLSI Architecture\, Synthesis\, and Technology (VAST) Laboratory. Dr. Cong’s research interests include novel architectures and compilation for customizable computing\, synthesis of VLSI circuits and systems\, and quantum computing. \nHe has over 500 publications in these areas\, including 16 best paper awards\, and 4 papers in the FPGA and Reconfigurable Computing Hall of Fame. He and his former students co-founded AutoESL\, which developed the most widely used high-level synthesis tool for FPGAs (renamed to Vivado HLS after Xilinx’s acquisition). He was elected to an IEEE Fellow in 2000\, ACM Fellow in 2008\, the National Academy of Engineering in 2017\, and the National Academy of Inventors in 2020. He is the recipient of the 2022 IEEE Robert Noyce Medal for fundamental contributions to electronic design automation and FPGA design methods. URL:https://ecocloud.epfl.ch/event/can-we-automate-integrated-circuit-design/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Connected Event ATTACH;FMTTYPE=image/jpeg:https://ecocloud.epfl.ch/wp-content/uploads/2023/06/jasoncong.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20221123T120000 DTEND;TZID=Europe/Paris:20221123T140000 DTSTAMP:20260405T035919 CREATED:20230602T151713Z LAST-MODIFIED:20230602T161239Z UID:9365-1669204800-1669212000@ecocloud.epfl.ch SUMMARY:Silicon device dependability: Sani Nassif DESCRIPTION:Dr. Nassif explained that Vincent Van Gogh would have made an excellent system designer. \nWednesday\, 23rd November\, 2022 \nEcoCloud Visiting Professor Sani Nassif gave a talk in the BC Building at EPFL to a captivated audience. \nThe talk examines trends in Silicon device dependability as scaling continues\, and proposes some areas of cross-domain research that are needed to keep the information infrastructure functioning in the future. \n \n\nProf. Babak Falsafi\, Visiting Professor Sani Nassif\, Prof. Giovanni de Micheli and Prof. David Atienza\n  URL:https://ecocloud.epfl.ch/event/silicon-device-dependability-visiting-professor-sani-nassif/ LOCATION:BC420 – Computing Building of EPFL\, EPFL\, Ecublens\, Switzerland CATEGORIES:EcoCloud Official Event ATTACH;FMTTYPE=image/png:https://ecocloud.epfl.ch/wp-content/uploads/2023/02/montage-1024x742-1.png END:VEVENT END:VCALENDAR