Par Lab |

Web Name: Par Lab |

WebSite: http://parlab.eecs.berkeley.edu

ID:43645

Keywords:

Par,Lab,

Description:

Dates: August 18- 20, 2014Location: This short course is offered online through EdX. To access the pre-recorded lectures:GO HEREThe 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 HereDates: August 19- 21, 2013Times: 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 hereTitle: Scalable and Flexible Bulk ArchitectureAbstract: 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. Futuristic UC Berkeley operating system uniquely controls discrete 'manycore' resources.UC Berkeley’s Tessellation operating system can simultaneously support real-time, high-throughput parallel applicationsArticle can be seen here: http://www.networkworld.com/news/2013/060613-manycore-270581.html

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