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Keynote Speaker
Ian Foster, Argonne National Lab and University of Chicago
Title: Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales
Abstract: A growing disparity between supercomputer computation speeds and I/O rates makes it increasingly infeasible for applications to save all results for offline analysis. Instead, applications must analyze and reduce data online so as to output only those results needed to answer target scientific question(s). This change in focus complicates application and experiment design and introduces algorithmic, implementation, and programming model challenges that are unfamiliar to many scientists and that have major implications for the design of various elements of supercomputer systems. I review these challenges and describe methods and tools that various groups, including mine, are developing to enable experimental exploration of algorithmic, software, and system design alternatives.
Bio: Ian Foster is a Professor of Computer Science at the University of Chicago and a Senior Scientist and Distinguished Fellow at Argonne National Laboratory. Originally from New Zealand, he has lived in Chicago for longer than he likes to admit. Ian has a long record of research contributions in high-performance computing, distributed systems, and data-driven discovery. He has also led US and international projects that have produced widely used software systems and scientific computing infrastructures. He has published hundreds of scientific papers and six books on these and other topics. Ian is an elected fellow of the American Association for the Advancement of Science, the Association for Computing Machinery, and the British Computer Society. His awards include the British Computer Society’s Lovelace Medal, the IEEE Tsutomu Kanai award, and honorary doctorates from CINVESTAV, Mexico, and the University of Canterbury, New Zealand.
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Keynote Speaker
Rajeev Rastogi, Director of Machine Learning, Amazon
Title: Machine Learning @ Amazon
Abstract: In this talk, I will first provide an overview of key problem areas where we are applying Machine Learning (ML) techniques within Amazon such as product demand forecasting, product search, and information extraction from reviews, and associated technical challenges. I will then talk about three specific applications where we use a variety of methods to learn semantically rich representations of data: question answering where we use deep learning techniques, product size recommendations where we use probabilistic models, and fake reviews detection where we use tensor factorization algorithms.
Bio: Rajeev Rastogi is a Director of Machine Learning at Amazon where he is developing ML platforms and applications for the e-commerce domain. Previously, he was Vice President of Yahoo! Labs Bangalore and the founding Director of the Bell Labs Research Center in Bangalore, India. Rajeev is an ACM Fellow and a Bell Labs Fellow. He is active in the fields of databases, data mining, and networking, and has served on the program committees of several conferences in these areas. He currently serves on the editorial board of the CACM, and has been an Associate editor for IEEE Transactions on Knowledge and Data Engineering in the past. He has published over 125 papers, and holds over 50 patents. Rajeev received his B. Tech degree from IIT Bombay, and a PhD degree in Computer Science from the University of Texas, Austin.
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Keynote Speaker
Parthasarathy (Partha) Ranganathan, Google.
Title: End of Moore’s Law: Or, a computer architect’s mid-life crisis?
Abstract: The computer architecture community faces an important and exciting challenge. On one hand, Moore’s law is slowing down, stressing traditional assumptions around cheaper and faster systems every year. But at the same time, our demand continues to grow at phenomenal rates, with deeper analysis over ever growing volumes of data, new diverse workloads in the cloud, and smarter edge devices. Is the situation dire, or is this just another phase in the evolution of system architecture. In this talk, I will summarize recent technology and workload trends and discuss likely scenarios for the evolution of future system architectures, with a focus on large “warehouse-scale computing” environments. Specifically, I will discuss how responding to the current opportunities will require more “out-of-the-box” designs —considering the entire datacenter as a computer, co-designing across hardware and software, and developing new architectural constructs.
Bio: Partha Ranganathan is currently a distinguished engineer and technical lead for hardware and datacenters at Google designing systems at scale. Before this, he was a HP Fellow and Chief Technologist at Hewlett Packard Labs where he led their research on systems and datacenters. Partha has worked on several interdisciplinary systems projects with broad impact on both academia and industry, including widely-used innovations in energy-aware user interfaces, heterogeneous multi-cores, power-efficient servers, and disaggregated and data-centric data centers. He has published extensively, is a co-inventor on more than 100 patents, and his work has often been featured in the popular press, including the New York Times, Wall Street Journal., Times of India, etc He has been named a top-15 enterprise technology rock star by Business Insider, one of the top 35 young innovators in the world by MIT Tech Review, and is a recipient of the ACM SIGARCH Maurice Wilkes award and Rice University’s Outstanding Young Engineering Alumni award. He is also a Fellow of the IEEE and ACM. (URL: http://www.parthasarathys.com)
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Interview With our Keynote
Do not miss this exclusive interview with our Keynote
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
Efficiently unleash cross-media information without cross-media value. Quickly maximize timely deliverables for real-time schemas. Dramatically maintain clicks-and-mortar solutions without functional solutions.
Completely synergize resource sucking relationships via premier niche markets. Professionally cultivate one-to-one customer service with robust ideas. Dynamically innovate resource-leveling customer service for state of the art customer service.
Objectively innovate empowered manufactured products whereas parallel platforms. Holisticly predominate extensible testing procedures for reliable supply chains. Dramatically engage top-line web services vis-a-vis cutting-edge deliverables.
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We can finally announce our event! We can’t wait to see you there
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
Efficiently unleash cross-media information without cross-media value. Quickly maximize timely deliverables for real-time schemas. Dramatically maintain clicks-and-mortar solutions without functional solutions.
Completely synergize resource sucking relationships via premier niche markets. Professionally cultivate one-to-one customer service with robust ideas. Dynamically innovate resource-leveling customer service for state of the art customer service.
Objectively innovate empowered manufactured products whereas parallel platforms. Holisticly predominate extensible testing procedures for reliable supply chains. Dramatically engage top-line web services vis-a-vis cutting-edge deliverables.
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Don’t miss the last tickets available they are going to go soon.
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
Efficiently unleash cross-media information without cross-media value. Quickly maximize timely deliverables for real-time schemas. Dramatically maintain clicks-and-mortar solutions without functional solutions.
Completely synergize resource sucking relationships via premier niche markets. Professionally cultivate one-to-one customer service with robust ideas. Dynamically innovate resource-leveling customer service for state of the art customer service.
Objectively innovate empowered manufactured products whereas parallel platforms. Holisticly predominate extensible testing procedures for reliable supply chains. Dramatically engage top-line web services vis-a-vis cutting-edge deliverables.
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Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
Efficiently unleash cross-media information without cross-media value. Quickly maximize timely deliverables for real-time schemas. Dramatically maintain clicks-and-mortar solutions without functional solutions.
Completely synergize resource sucking relationships via premier niche markets. Professionally cultivate one-to-one customer service with robust ideas. Dynamically innovate resource-leveling customer service for state of the art customer service.
Objectively innovate empowered manufactured products whereas parallel platforms. Holisticly predominate extensible testing procedures for reliable supply chains. Dramatically engage top-line web services vis-a-vis cutting-edge deliverables.