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Communication-Optimal Parallel Algorithm for Strassen’s Matrix ... http://parlab.eecs.berkeley.edu/sites/all/parlab/files/Communitation%20Optimal%20Parallel%20Algorithms%20for%20Strassens%20Matrix%20Multiplication.pdf |
University of California, Berkeley http://parlab.eecs.berkeley.edu/publications |
Steps Towards Heterogeneity and the UC Berkeley Parallel ... - Par Lab http://parlab.eecs.berkeley.edu/sites/all/parlab/files/Patterson-%20Steps%20Towards%20Heterogeneity%20and%20the%20UC%20Berkeley%20Parallel%20Computing |
Portable parallel performance from sequential, productive, embedded ... http://parlab.eecs.berkeley.edu/sites/all/parlab/files/Portable%20Parallel%20Performance%20from%20Sequential,%20Productive,%20Embedded%20Domain-Specif |
ERKELEY AR AB Exploring Tradeoffs between Programmability and ... http://parlab.eecs.berkeley.edu/sites/all/parlab/files/Asanovic-%20Exploring%20Tradeoffs%20between%20Programmability%20and%20Efficiency%20in%20Data%20 |
A Retrospective on Par Lab Architecture Research https://parlab.eecs.berkeley.edu/sites/all/parlab/files/presentation2.pdf |
Programming Distributed Memory Systems with MPI https://parlab.eecs.berkeley.edu/sites/all/parlab/files/MPI_bootcamp_2013.pdf |
Where We Ended Up - University of California, Berkeley http://parlab.eecs.berkeley.edu/sites/all/parlab/files/Where%20We%20Ended%20Up_0.pdf |
2008 Workshop on Architectural Support for Personal ... https://parlab.eecs.berkeley.edu/aspparc2008/ |
OpenMP Application Profiling https://parlab.eecs.berkeley.edu/sites/all/parlab/files/FuerlingerOpenMP.pdf |
Avoiding Communication in Sparse Matrix Computations https://parlab.eecs.berkeley.edu/sites/all/parlab/files/Demmel.pdf |
A view of the parallel computing landscape https://parlab.eecs.berkeley.edu/sites/all/parlab/files/CACMViewPaperOct09.pdf |
Minimizing Communication in Linear Algebra https://parlab.eecs.berkeley.edu/sites/all/parlab/files/ballard_talk_summerretreat09.pdf |
Band Matrix Optimization within LAPACK's xGETRF https://parlab.eecs.berkeley.edu/sites/all/parlab/files/retreat_jan_2010_agearh.pdf |
PARLab Parallel Boot Camp - University of California, Berkeley https://parlab.eecs.berkeley.edu/sites/all/parlab/files/BootCamp_Intro_Demmel_09_final.pdf |
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People Sponsors Publications Talks Media Research Login Search this site: About Par Lab Get Involved Come Visit Seminars Contact Research Projects 2012 Short Course on Parallel Programming 2011 Short Course on Parallel Programming 2010 Short Course on Parallel Programming 2009 Short Course on Parallel Programming Par Lab’s End of Project Celebration May 30, 2013 Par Lab Spotlight Par Lab’s End of Project Celebration May 30, 2013 Mangpo Phothilimthana and Nishant Tolta Win 2013 Qualcomm Innovations Fellowship Armando Fox on the PBS NewsHour: How Free Online Courses are Changing the Traditional Liberal Arts Education Par Lab’s Leo Meyerovich Featured in Wired.com Article: Why Do Some Programming Languages Live and Others Die? Grey Ballard Winner of C.V. Ramamoorthy Distinguished Research Award 1 2 3 next › last » Sponsors Affiliate Sponsors Short Course on Parallel Programming 2014 Title: Short Course on Parallel Programming Dates: August 18- 20, 2014 Location: This short course is offered online through EdX. To access the pre-recorded lectures: GO HERE The 2014 Short Course on Parallel Programming ("boot camp") is intended to offer programmers a practical introduction to parallel programming techniques and tools on current parallel computers, including shared memory/multicore, GPU/manycore, distributed memory and cloud computing. More Information Here Read more Par Lab’s End of Project Celebration May 30, 2013 PAR LAB BOOK INFORMATION VIDEOS TALK SLIDES PICTURES QUOTES "Par Lab through the years" slideshow 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 Start: 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 comprar viagra (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. Calendar 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 1 2 3 4 5 6 7 next › last » News Jonathan Maltz to lead clinical studies of HeartSentry Yannis Ioannidis and the Greek spin-off that will become the voice of Samsung Stuart Russell is featured speaker at IP EXPO Europe Alexi Efros’s team offers custom colorization using deep neural networks EECS faculty envision California’s next-gen infrastructure more Site Map Accessibility Site Credit Internal © 2012 The Regents of the University of California. All Rights...
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