• Short Course on Parallel Programming 2013

    Short Course on Parallel Programming
    Dates: August 19- 21, 2013
    Times: 8/19 from 9AM-6PM; 8/20 from 8:45AM - 6PM; 8/21 from 8:45AM - 5PM (may change)
    Location: Banatao Auditorium, Sutardja Dai Hall, University of California at Berkeley
    Visitor Information for Sutardja Dai Hall (Citris Building)

    The 2013 Pab Lab Boot Camp – Short Course on Parallel Programming is intended to offer programmers a practical introduction to parallel programming techniques and tools on current parallel computers, emphasizing multicore and manycore computers.

    See the Talk Slides and Videos here

  • TALK: Scalable and Flexible Bulk Architecture, Xuehai Qian - UIUC, Wednesday, June 26 at 10am in 380 Soda

    06/26/2013 10:00 am

    Title: Scalable and Flexible Bulk Architecture

    Abstract: To help parallel computing become mainstream, one of the main design considerations for multicore architectures should be support for programming productivity. This means designs that can deliver high performance and efficiency while relieving programmers and compiler writers from managing low-level tasks, and designs that help minimize the chance of parallel programming errors.

    In this talk, I will present an overview of the ideas behind the Scalable and Flexible Bulk Architecture. The architecture has a set of novel techniques for programmability, while retaining scalability and flexibility. In particular, I will present Volition, the first hardware scheme that detects Sequential Consistency Violations (SCVs) in a relaxed-consistency machine precisely, in a scalable manner, and for an arbitrary number of processors in the cycle. Volition enhances programmability, while inducing negligible traffic and execution overhead. Moreover, I will present the scalable cache coherence protocols for the atomic block execution.

    Bio: Xuehai Qian is a Ph.D candidate in the Department of Computer Science at the University of Illinois, Urbana-Champaign. His research focuses on multicore and parallel computer architecture, and programming models for parallelism. He received an MS in Computer Science from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), and a BS in Computer Engineering from Beihang University, Beijing.

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  • John Kubiatowicz Featured in NetworkWorld Article

    Futuristic UC Berkeley operating system uniquely controls discrete 'manycore' resources.
    UC Berkeley’s Tessellation operating system can simultaneously support real-time, high-throughput parallel applications

    Article can be seen here: http://www.networkworld.com/news/2013/060613-manycore-270581.html

  • TALK: Efficient and Easily Programmable Accelerator Architectures

    05/13/2013 2:00 pm

    TALK: Prof Tor Aamodt, University of British Columbia - Mon, May 13 at 2pm in Woz (430 Soda)

    Speaker: Tor Aamodt, University of British Columbia

    Title: Efficient and Easily Programmable Accelerator Architectures

    Abstract: Current projections suggest semiconductor scaling may end near the 7nm process node within 10 years. Energy efficiency is already a primary design goal due to the end of voltage scaling. Programmable accelerators such as graphics processing units (GPUs) can potentially enable further reductions in the cost of computation along with further increases in computing efficiency. However, GPUs are typically perceived as suitable only for a narrow range of applications such as high performance computing. This talk will describe recent research on hardware changes to broaden the range of applications that benefit from GPU-like accelerators. Approaches discussed will include introducing transactional memory and coherence into GPUs as well as improving cache utilization via hardware thread scheduling.

    Bio: Tor Aamodt is an Associate Professor in the Department of Electrical and Computer Engineering at the University of British Columbia. Two of his papers on (GPU-like) accelerators have been selected as "Top Picks" from computer architecture conferences by IEEE Micro magazine. He is an Associate Editor for IEEE Computer Architecture Letters, Program Chair for ISPASS 2013, and has served on the program committee of several computer architecture conferences. He received his BASc (in Engineering Science), MASc and PhD at the University of Toronto. He worked at NVIDIA on the memory system of the first GPU supporting CUDA (G80).

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    Wozniak Lounge (4th fl Soda Hall)
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