PPT-Cilk , Cilk++ , Cilk view

and Cilk screen are trademarks of CILK ARTS including analysis and debugging MAJOR SECTIONS Cilk Syntax and Concepts Races and Race Detection Scalability Analysis The Cilk Tool Set. Blumofe Christopher F Joerg Bradley C Kuszmaul Charles E Leiserson Keith H Randall Yuli Zhou MIT Laboratory for Computer Science 545 Technology Square Cambridge MA 02139 Abstract Cilk pronounced 730silk is a Cbased runtime system for multi threaded Pipeline Parallelism. I-Ting Angelina Lee. *. , Charles E. . Leiserson. *. , . Tao B. . Schardl. *. , Jim . Sukha. †. , and . Zhunping. Zhang. *. SPAA 2013. MIT CSAIL. * . Intel Corporation. Dr. Guy Tel-. Zur. Lecture 10. Agenda. Administration. Final presentations. Demos. Theory. Next week plan. Home assignment #4 (last). Final Projects. Next Sunday: Groups 1-1. 6. will present. Next Monday: Groups 1. Multicore and NUMA architectures. Multithreaded Programming. Cilk++ as a concurrency platform. Work and Span. Thanks to . Charles E. Leiserson for some of these slides. Multicore Architecture. 27 . – Feb 3, . 2010. Multicore. (and Shared Memory) Programming with . Cilk. ++. Multicore and NUMA architectures. Multithreaded Programming. Cilk++ as a concurrency platform. Divide and conquer paradigm for Cilk++. People. Project at MIT & now at UT Austin. Bobby Blumofe (now UT Austin, Akamai). Chris Joerg. Brad Kuszmaul (now Yale). Charles Leiserson (MIT, Akamai). Keith Randall (Bell Labs) . Yuli Zhou (Bell Labs) . Marc S. Orr. †§. , Bradford M. Beckmann. §. , Steven K. Reinhardt. §. , David A. Wood. †§. ISCA, June 16, 2014. †. §. Executive Summary. SIMT languages (e.g. CUDA & . OpenCL. ) restrict GPU programmers to regular parallelism. ImplicitRepresentationSystems MPI[36]GASNet[41]Co-ArrayFortran[33] UPC[12]Titanium[40]Chapel[15] X10[17]HJ[14] Cilk[9]Charm++[29] ExplicitRepresentationSystems Static Dynamic TAM[19]Id[4] Sequoia[22,2 ImplicitRepresentationSystems MPI[36]GASNet[41]Co-ArrayFortran[33] UPC[12]Titanium[40]Chapel[15] X10[17]HJ[14] Cilk[9]Charm++[29] ExplicitRepresentationSystems Static Dynamic TAM[19]Id[4] Sequoia[22,2 Lecture 3. MADALGO Summer School 2012. Algorithms for Modern Parallel and Distributed Models . Phillip B. Gibbons. Intel Labs Pittsburgh. August 22, 2012. Multi-core Computing Lectures: . Progress-to-date on Key Open Questions. Feb 2, 2015. Multicore (and Shared Memory) Programming with . Cilk. Plus. Multicore and s. hared . m. emory. . Cilk. . Plus and the divide & conquer . p. aradigm. Data races. Analyzing performance in . Multicore and NUMA architectures. Multithreaded Programming. . Cilk. as a concurrency platform. . Work, Span, (potential) Parallelism. Thanks to . Charles E. Leiserson for some of these slides. Multicore and NUMA architectures. Multithreaded Programming. Cilk as a concurrency platform. Work and Span. Thanks to . Charles E. Leiserson for some of these slides. Multicore Architecture. modelS. CS 5802 . Monica Borra. Overview. Types of parallel programming models. Shared memory Model. OpenMP. POSIX Threads. Cilk. /. Cilk. Plus/. Cilk. Plus . Plus. Thread Building Blocks. Types of Parallel Programming Models:.