BEGIN:VCALENDAR VERSION:2.0 PRODID:-//EcoCloud - ECPv6.17.1//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:20130331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20131027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20140330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20141026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20150329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20151025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20160327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20161030T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20150622T090000 DTEND;TZID=Europe/Paris:20150622T170000 DTSTAMP:20230602T131439Z CREATED:20230601T122215Z LAST-MODIFIED:20230602T131439Z UID:9266-1434963600-1434992400@ecocloud.epfl.ch SUMMARY:EcoCloud Annual Event - 2015 DESCRIPTION:Welcome to the EcoCloud 2015 Annual Event. This year’s event kicked off with a keynote followed by a poster session and cocktail on the evening of Monday June 22nd\, 2015. On Tuesday June 23rd\, 2015\, EcoCloud researchers and industrial speakers highlighted the latest trends in energy-efficient data-centric technologies. \nKeynote\nBig Data @ Microsoft\nRaghu Ramakrishnan\, Microsoft \nUntil recently\, data was gathered for well-defined objectives such as auditing\, forensics\, reporting and line-of-business operations; now\, exploratory and predictive analysis is becoming ubiquitous\, and the default increasingly is to capture and store any and all data\, in anticipation of potential future strategic value. These differences in data heterogeneity\, scale and usage are leading to a new generation of data management and analytic systems\, where the emphasis is on supporting a wide range of very large datasets that are stored uniformly and analyzed seamlessly using whatever techniques are most appropriate\, including traditional tools like SQL and BI and newer tools\, e.g.\, for machine learning and stream analytics. These new systems are necessarily based on scale-out architectures for both storage and computation. \nHadoop has become a key building block in the new generation of scale-out systems. On the storage side\, HDFS has provided a cost-effective and scalable substrate for storing large heterogeneous datasets. However\, as key customer and systems touch points are instrumented to log data\, and Internet of Things applications become common\, data in the enterprise is growing at a staggering pace\, and the need to leverage different storage tiers (ranging from tape to main memory) is posing new challenges\, leading to caching technologies\, such as Spark. On the analytics side\, the emergence of resource managers such as YARN has opened the door for analytics tools to bypass the Map-Reduce layer and directly exploit shared system resources while computing close to data copies. This trend is especially significant for iterative computations such as graph analytics and machine learning\, for which Map-Reduce is widely recognized to be a poor fit. \nI will examine these trends\, and ground the talk by discussing the Microsoft Big Data stack. \nRaghu Ramakrishnan is a Technical Fellow in the Cloud and Enterprise (C&E) at Microsoft Corp. He focuses his work on big data and integration between C&E’s cloud offerings and the Online Services Division’s platform assets. He has more than 15 years of experience in the fields of database systems\, data mining\, search and cloud computing. \nRamakrishnan has been chief scientist for three divisions at Yahoo! Inc. over the past five years (Audience\, Cloud Platforms\, Search)\, as well as a Yahoo! Fellow leading applied science and research teams in Yahoo! Labs. He led the science teams for major Yahoo! initiatives\, including the CORE personalization project\, the PNUTS geo-replicated cloud service platform and the creation of Yahoo!’s Web of Objects through Web-scale information extraction. Before joining Yahoo! in 2006\, he was member of the computer science faculty at University of Wisconsin-Madison since 1987\, and was founder and chief technical officer of QUIQ\, a company that pioneered crowd-sourced question-answering communities. \nHis work in database systems has influenced query optimization in commercial database systems and the design of window functions in SQL:1999. He has written the widely used text “Database Management Systems” (with Johannes Gehrke). Ramakrishnan has received several awards\, including the ACM SIGKDD Innovations Award\, the ACM SIGMOD Contributions Award and the 10-Year Test-of-Time Award\, a Distinguished Alumnus Award from IIT Madras\, and a Packard Foundation Fellowship. He is a Fellow of the ACM and IEEE\, and serves on the steering committee of the ACM Symposium on Cloud Computing and the board of directors of ACM SIGKDD\, and is a past chair of ACM SIGMOD and member of the board of trustees of the Very Large Data Base Endowment. \nHe earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a doctorate in computer science from the University of Texas at Austin. Ramakrishnan and his wife\, Apu\, brought up their two sons in Madison\, Wis.\, where he taught for many years. He can attest that while you might freeze there\, you would do so with a smile on your face. He likes to play tennis (both the lawn and table varieties) and read fiction\, and tries to stay fit\, with middling success. \nINDUSTRIAL SESSION\nThis year’s industrial session will feature prominent speakers from the IT industry\, including: \n\nCost-effective Cloud Storage Technologies\nEvangelos Eleftheriou\, IBM Research\nCost efficiency is one of the major driving forces of cloud adoption. Dense and cost-effective storage is critical to cloud providers especially for storing large volumes of data on the cloud. In this talk\, I will present storage technologies that enable cost efficiency for different types of cloud storage. Starting with the high-performance segment of storage\, I’ll present SALSA\, an I/O stack optimized for Flash\, that can elevate the performance and endurance of low-cost\, consumer Flash-based SSDs to meet datacenter requirements\, thereby enabling all-Flash cloud storage at low cost. Next\, I will talk about archival storage for the cloud\, focusing on IceTier\, a research prototype that enables the seamless integration of tape as an archival back-end to cloud object stores\, offering dramatically reduced cost for cold data. Finally\, I will present MCStore\, a cloud gateway technology that enables traditional storage systems to take advantage of the cloud\, thus bringing the merits of cost-effective cloud storage to the traditional datacenter. \nEvangelos Eleftheriou received a B.S degree in Electrical Engineering from the University of Patras\, Greece\, in 1979\, and M.Eng. and Ph.D. degrees in Electrical Engineering from Carleton University\, Ottawa\, Canada\, in 1981 and 1985\, respectively. \nHe joined the IBM Research – Zurich laboratory in Rüschlikon\, Switzerland\, as a Research Staff Member in 1986. Since 1998\, he has held various management positions and currently heads the Cloud and Computing Infrastructure department of IBM Research – Zurich\, which focuses on enterprise solid-state storage\, storage for big data\, microserver/cloud server and accelerator technologies\, high-speed I/O links\, storage security\, and memory and cognitive technologies. \nHe holds over 100 patents (granted and pending applications). In 2002\, he became a Fellow of the IEEE. He was co-recipient of the prestigious 2005 Technology Award of the Eduard Rhein Foundation in Germany. Also in 2005\, he was appointed an IBM Fellow and inducted into the IBM Academy of Technology. In 2009\, he was co-recipient of the IEEE CSS Control Systems Technology Award. \n\nData Center Ambient Temperature Optimization: Key To Large-Scale Energy Savings\nKenny Gross\, Oracle\nASHRAE has for many years recommended that data center owners save energy by reducing air conditioning and warming up the data center. For the first 25 years of the computer industry\, this was very sound advice because there was no relationship between the operating temperature of enterprise computing servers and their energy efficiency. But for the most recent ~4-5 years\, this is no longer the case. Extensive Oracle research has demonstrated that with the latest generations of enterprise computing servers there are now very temperature-sensitive “energy wastage” mechanisms in IT server and storage systems that not only waste significant energy in warm data centers\, but also degrade compute performance. This presentation shows novel Oracle temperature-aware algorithms that enable intelligent optimization of data center ambient temperatures to minimize or avoid these heretofore non-observable energy wastage mechanisms in IT systems. Oracle’s suite of “Energy Aware Data Center” (EADC) algorithms predict an optimal ambient temperature set point\, decreasing energy wastage throughout the data center\, significantly increasing overall compute performance\, decreasing the carbon footprint\, while increasing return-on-assets for data center owners. \nKenny Gross is a Distinguished Engineer for Oracle and researcher with the System Dynamics Characterization and Control team in Oracle’s Physical Sciences Research Center in San Diego. Kenny specializes in advanced pattern recognition\, continuous system telemetry\, and dynamic system characterization for improving the reliability\, availability\, and energy efficiency of enterprise computing systems\, as well as the datacenters in which the systems are deployed. Kenny has 227 US patents issued and pending\, 186 scientific publications\, and was awarded a 1998 R&D 100 Award for one of the top 100 technological innovations of that year\, for an advanced statistical pattern recognition technique that was originally developed for nuclear and aerospace applications and is now being used for a variety of applications to improve the quality-of-service\, availability\, and optimal energy efficiency for enterprise computer servers. Kenny’s Ph.D. is in nuclear engineering from the U. of Cincinnati. \n\nImpala: A Modern\, Open-Source SQL Engine for Hadoop\nIppokratis Pandis\, Cloudera\nThe Cloudera Impala project is pioneering the next generation of Hadoop capabilities: the convergence of fast SQL queries with the capacity\, scalability\, and flexibility of a Hadoop cluster. With Impala\, the academic and Hadoop communities now have an open-sourced codebase that helps query data stored in HDFS and Apache HBase in real time\, using familiar SQL syntax. In contrast with other SQL-on-Hadoop initiatives\, Impala’s operations are fast enough to do interactively on native Hadoop data rather than in long-running batch jobs. \nThis talk starts out with an overview of Impala from the user’s perspective\, followed by a presentation of Impala’s architecture and implementation. It concludes with a summary of Impala’s benefits when compared with the available SQL-on-Hadoop alternatives. \nIppokratis Pandis is a software engineer at Cloudera working on the Impala project. Before joining Impala and Cloudera\, Ippokratis was member of the research staff at IBM Almaden Research Center. At IBM\, he was member of the core team that designed and implemented the BLU column-store engine\, which currently ships as part of IBM’s DB2 LUW v10.5 with BLU Acceleration. Ippokratis received his PhD from the Electrical and Computer Engineering department at Carnegie Mellon University. He is the recipient of Best Demonstration awards at ICDE 2006 and SIGMOD 2011 and Best Paper award at CIDR 2013. He has served as PC chair of DaMon 2014 and DaMoN 2015. \n\nNew Approaches to Compute Architecture for Energy Optimized Data Movement\nSteve Pawlowski\, Micron\nAs the number of on-die transistors continues to grow\, new computing models are needed to utilize this growing compute capacity despite a clock-frequency scaling wall\, and relatively sluggish improvements in I/O bandwidth. The spatial compute and programming model\, as introduced by the OpenSPL specification\, provides a method for taking advantage of compute capacity offered by current and trending hardware technology. With spatial computing\, compute processing units are laid out in space (either physically or conceptually) and connected by flows of data. The result of this approach is compute implementations which are naturally highly-parallel and thus very effectively use modern transistor-rich hardware. In this talk\, I will describe both the spatial computing model and a practical realization of the OpenSPL specification: Multiscale Dataflow Engines. Multiscale Dataflow Engines are a platform which directly implements the spatial computing model in hardware while at the same time supporting tight integration with conventional CPU-based compute resources. \nSteve Pawlowski is Vice President of Advanced Computing Solutions at Micron Technology. He is responsible for defining and developing innovative memory solutions for the enterprise and high performance computing markets. Prior to joining Micron in July 2014\, Mr. Pawlowski was a Senior Fellow and the Chief Technology Officer for Intel’s Data Center and Connected Systems Group. Mr. Pawlowski’s extensive industry experience includes 31 years at Intel\, where he held several high-level positions and led teams in the design and development of next-generation system architectures and computing platforms. Mr. Pawlowski earned bachelor’s degrees in electrical engineering and computer systems engineering technology from the Oregon Institute of Technology and a master’s degree in computer science and engineering from the Oregon Graduate Institute. He also holds 58 patents. \n\nEmbrace Innovation\, the Challenge of Big Corporations\nDaniele Tonella\, AXA Technology Services\nThis talk will highlight the challenges that big corporations face in embracing innovation: agility vs. legacy\, dealing with the pace of innovation\, digital transformation and its challenges for a company like AXA-Tech. \nDaniele Tonella joined the AXA Group in 2013 as CEO of AXA Technology Services. In this role he is responsible for the overall vision\, strategy and operation of AXA’s global IT infrastructure\, including cloud and developer platforms\, thus contributing to AXA’s digital transformation. Before joining AXA\, Daniele was Global CIO of Evalueserve\, a knowledge process outsourcing company headquartered in India. From 2002 to 2010 he held various IT leadership roles with increasing responsibility at Swiss Life\, notably CTO and CIO. He spent the initial part of his professional career as a consultant\, initially for Mercer Management Consulting and subsequently for McKinsey and Company. He is currently a member of the Foundation Board of the International Risk Governance Council (IRGC). Daniele Tonella was born in 1971 and is a Swiss citizen. He holds an engineering degree from the Swiss Federal Institute of Technology in Zurich (ETH). \n \n Annual Event 2015 \n \n \n \n \n \n \n \n img_5863_dxo_40521894774_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5776_dxo_40521901804_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5827_dxo_41236688051_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5889_dxo_40521884574_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5855_dxo_40521880854_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5726_dxo_40521906484_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5718_dxo_40521872874_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5841_dxo_40521880274_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5928_dxo_41192045242_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5886_dxo_40521884004_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5754_dxo_40521874484_o\n View Photo\n \n \n\n \n\n \n \n \n \n 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\n\n \n \n \n \n \n \n \n \n img_5796_dxo_40521877424_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5758_dxo_41236693721_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5819_dxo_40521898394_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5892_dxo_27362418518_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5739_dxo_40521905304_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5927_dxo_40340149615_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5663_dxo_40521912424_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5921_dxo_39426057660_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5739_dxo_40521873714_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5752_dxo_40521874994_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5729_dxo_40521873264_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5682_dxo_27362421378_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5769_dxo_40340148375_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5765_dxo_40521903104_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5754_dxo_41236694831_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5878_dxo_27362417668_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5896_dxo_39426053480_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5793_dxo_40521876964_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5686_dxo_40521910814_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5816_dxo_40521879014_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5891_dxo_40521884734_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5682_dxo_41192061952_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5731_dxo_40521905854_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5805_dxo_27362417138_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5691_dxo_40521910034_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5699_dxo_40521908804_o\n View Photo\n \n \n\n \n\n \n \n \n \n \n \n \n \n img_5748_dxo_40521874324_o\n View Photo URL:https://ecocloud.epfl.ch/event/ecocloud-annual-event-2015/ 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/2023/06/2015.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Paris:20140605T090000 DTEND;TZID=Europe/Paris:20140606T170000 DTSTAMP:20230602T063944Z CREATED:20230601T093549Z LAST-MODIFIED:20230602T063944Z UID:9236-1401958800-1402074000@ecocloud.epfl.ch SUMMARY:EcoCloud Annual Event - 2014 DESCRIPTION:Welcome to the 2014 EcoCloud Annual Event. This year’s event took place in Lausanne and included a keynote\, a poster session\, an industrial speakers’ session and presentations by EcoCloud researchers. The event began with the keynote\, a poster session and cocktail on the evening of Thursday\, June 5th\, 2014 and ran all day on June 6th\, 2014. \n\n\n \n \n \n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n\n \n\n \n\n \n \n \n \n \n\n \n\n \n \n\n \n \n \n\n \n\n\nKeynote\nA Reconfigurable Fabric for Accelerating Datacenter Services\nDoug Burger\, Microsoft \nMoore’s Law is dying\, and will soon be dead. This fact has enormous implications for the computing industry\, from mobile devices through large-scale datacenters. In this talk\, I will describe a computational fabric designed to achieve large performance and efficiency gains for datacenter services even in the face of the end of CMOS scaling. This fabric tightly couples many FPGAs together via a high-speed\, low-latency secondary network\, and permits elastic allocation of groups of reconfigurable chips to support varied services. I will also describe the implementation of an accelerated web search service on this fabric. \nDoug Burger is a Director in Microsoft Research’s Technologies division\, where he leads an interdisciplinary team focused on innovations in datacenter design and services\, as well as new computing experiences in the mobile and wearable spaces. Before joining Microsoft in 2008\, he was a Professor of Computer Science at the University of Texas at Austin\, where he co-led the TRIPS project which invented EDGE architectures and NUCA caches. He is a Fellow of both the ACM and the IEEE. \nINDUSTRIAL SESSION\nThis year’s industrial session will feature prominent speakers from the IT industry\, including: \n\nFARM: Fast Available Remote Memory\nMiguel Castro\, Microsoft Research\nWe describe the design and implementation of FARM\, a main memory distributed computing platform that exploits RDMA to improve both latency and throughput by an order of magnitude relative to state of the art main memory systems that use TCP/IP. FARM exposes the memory of machines in the cluster as a shared address space. Applications can use efficient ACID transactions to allocate\, read\, write\, and free objects with location transparency. We expect this simple programming model to be sufficient for most application code. In addition\, FARM provides two mechanisms to improve performance where required: lock-free reads over RDMA\, and support for collocating objects and function shipping to enable the use of efficient single machine transactions. We used FaRM to build a key-value store and a graph store similar to Facebook’s. They both perform well\, for example\, a 20-machine cluster can perform 160 million key-value lookups per second with a latency of 31µs. \nMiguel Castro has been working at Microsoft Research since late 2000 on distributed systems\, security\, and operating systems. Miguel received a PhD from MIT in 2001 for his work on Byzantine fault tolerance. He is the recipient of the 2011 SIGOPS Mark Weiser award. \n\nThe High Performance IO Infrastructure of Modern Scalable Data Centers\nMichael Kagan\, Mellanox\nThe scalability requirements of Modern Data Centers for Web 2.0 and Cloud present new challenges to the IO services offered by the network infrastructure. Remote Direct Memory Access (RDMA) technology is a communication paradigm that delivers on the promise of tight integration of very large clusters through its salient characteristics of low latency\, high bandwidth and low CPU utilization. RDMA fits naturally with network virtualization schemes and creates the ultimate IO environment for efficient network storage\, distributed databases and parallel processing. Highly scalable RDMA implementations\, purposely designed to address these needs\, are a key ingredient for the deployment of these solutions. \nMichael Kagan is a co-founder of Mellanox and has served as CTO since January 2009. Previously\, Mr. Kagan served as vice president of architecture from May 1999 to December 2008. From August 1983 to April 1999\, Mr. Kagan held a number of architecture and design positions at Intel Corporation. While at Intel Corporation\, between March 1993 and June 1996\, Mr. Kagan managed Pentium MMX design\, and from July 1996 to April 1999\, he managed the architecture team of the Basic PC product group. Mr. Kagan holds a Bachelor of Science in Electrical Engineering from the Technion — Israel Institute of Technology. \n\nThe IBM-DOME 64bit µServer Demonstrator\nRonald P. Luijten\, IBM\nFor the IBM-ASTRON DOME μServer project\, we are currently building two types of memory DIMM-like form factor compute node boards. The first is based on a 4 core 2.2 GHz SoC and the second on a 12 core / 24 thread 1.8 GHz SoC. Both employ the 64-bit Power instruction set. Our innovative hot-water based cooling infrastructure also supplies the electrical power to our compute node board. We show initial performance results and conclude with the key lessons. \nRonald P. Luijten\, senior IEEE member\, received his Masters of Electronic Engineering with honors from the University of Technology in Eindhoven\, Netherlands in 1984. In the same year he joined the systems department at IBM’s Zurich Research Laboratory in Switzerland. He has contributed to the design of various communication chips\, including PRIZMA high port count packet switch and ATM adapter chip sets\, culminating in a 15-month assignment at IBM’s networking development laboratory in La Gaude\, France as lead-architect\, from 1994-95. He currently manages the IBM DOME uServer and Algorithms and Machines teams. Formerly he managed the OSMOSIS optical switch demonstrator project in close collaboration with Corning\, inc. His team contributed the congestion control mechanism to the converged enhanced Ethernet standard and is worked on the network validation of IBM’s PureSystems product line. His team also contributed a 2.5D pattern selection method to enhance performance of source/mask optimization for 22nm and 14nm CMOS. Ronald’s personal research interests are in datacenter architecture\, design and performance (eData Motion in Data Centers). He holds more than 25 issued patents\, and has co-organized 7 IEEE conferences. Over the years\, IBM has awarded Ronald with three outstanding technical achievement awards and a corporate patent award. \n\nComputing in Space\nOskar Mencer\, Maxeler\nAs the number of on-die transistors continues to grow\, new computing models are needed to utilize this growing compute capacity despite a clock-frequency scaling wall\, and relatively sluggish improvements in I/O bandwidth. The spatial compute and programming model\, as introduced by the OpenSPL specification\, provides a method for taking advantage of compute capacity offered by current and trending hardware technology. With spatial computing\, compute processing units are laid out in space (either physically or conceptually) and connected by flows of data. The result of this approach is compute implementations which are naturally highly-parallel and thus very effectively use modern transistor-rich hardware. In this talk\, I will describe both the spatial computing model and a practical realization of the OpenSPL specification: Multiscale Dataflow Engines. Multiscale Dataflow Engines are a platform which directly implements the spatial computing model in hardware while at the same time supporting tight integration with conventional CPU-based compute resources. \nwww.openspl.org\nM. J. Flynn\, O. Mencer\, V. Milutinovic\, G. Rakocevic\, P. Stenstrom\, R.Trobec\, M. Valero: “Moving from Petaflops to Petadata”\, Communications of the ACM\, May 2013 \nOskar Mencer – Prior to founding Maxeler\, Oskar was Member of Technical Staff at the Computing Sciences Center at Bell Labs in Murray Hill\, leading the effort in “Stream Computing”. He joined Bell Labs after receiving a PhD from Stanford University. Besides driving Maximum Performance Computing (MPC) at Maxeler\, Oskar was Consulting Professor in Geophysics at Stanford University and he is also affiliated with the Computing Department at Imperial College London\, having received two Best Paper Awards\, an Imperial College Research Excellence Award in 2007 and a Special Award from Com.sult in 2012 for “revolutionising the world of computers”. \n\nProgrammable Fabrics for Virtual and Physical Workloads\nMaurizio Portolani\, Cisco Systems\nThe network connectivity in the datacenter as it is today suffers from several shortcomings ranging from the inability to perform rapid changes\, the plethora of encapsulation mechanisms being used by servers\, a lot of management points and a model to describe workload connectivity that is rooted in broadcast domains\, VLAN tagging and IP addresses. The talk describes how we can change this model by decoupling the definition of workload relationships from these old constructs\, how we can simplify the task of providing virtual and physical workload connectivity and how in the end the result is a much more portable element of configuration that can templet-ize the instantiation of “applications” on the fabric. \nMaurizio Portolani is a Distinguished Engineer at Cisco Systems involved in architecting and validating large scale data center designs. He is the author of several Cisco Data Center solution architectures and of the book “Datacenter Fundamentals”. Maurizio holds patents on advanced spanning-tree\, load balancing features\, security and virtualization features. \nVenue\nIdeally located in the heart of Lausanne\, the Olympic Capital\, in French speaking Switzerland\, the Lausanne Palace & Spa enjoys a superb view across Lake Geneva to the Alps. \nThe beauty of its surrounding landscape makes it an exceptional place of refinement. The recognition since 2007 by UNESCO of the Lavaux region\, 10 km from the Lausanne Palace & Spa\, now on the list of “Real World Heritages” serves as proof of its uniqueness. \nAt the heart of Lausanne\, the Lausanne Palace & Spa\, offers to you its parking open 24/24 and 7/7\, an ideal base from which to discover Lausanne and quickly and easily access the different services which the Lausanne Palace & Spa offers you. URL:https://ecocloud.epfl.ch/event/ecocloud-annual-event-2014/ 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/2014/08/IMG_5954_DxO-scaled.jpg END:VEVENT END:VCALENDAR