PPT-CS 240A: Shared Memory & Multicore Programming with Cil

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. Message Passing Sharedmemory single copy of shared data in memory threads communicate by readingwriting to a shared location Messagepassing each thread has a copy of data in its own private memory that other threads cannot access threads communicate Shared memory. Process A. Process B. Physical Memory. Virtual address space A. Virtual address space B. Share. Share. Share. Instruction memory. Data. Instruction memory. Data. Create a shared memory region. Performance considerations. (CUDA best practices) . NVIDIA CUDA C programming best practices guide. ACK: CUDA teaching center Stanford (. Hoberrock. and . Tarjan. ).. Outline. Host to device memory transfer. – . From hardware prospective to software. Presenter: D96943001 . 電子所 陳泓輝. Why Moore’s Law is die. He is not CEO anymore!!. Walls => ILP, Frequency, Power, Memory walls. ILP – more cost less return. Based heavily on a slide set by Colin Ponce. Rethinking Operating System Designs for a . Multicore World. Multicore computer: A computer with more than one CPU.. 1960-1990. : Multicore existed in mainframes . Parallel Processing (CS526) . Spring 2012(Week 8) . Shared Memory Architecture . Shared Memory Programming & PLs. Java Threads . Preparing the Environment . In This lecture . Shared Memory Architecture . Performance considerations. (CUDA best practices) . NVIDIA CUDA C programming best practices guide. ACK: CUDA teaching center Stanford (. Hoberrock. and . Tarjan. ).. Outline. Host to device memory transfer. Multicore Panel at eScience 2008. December . 11 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. Lessons. Not surprising . Hakim Weatherspoon. CS 3410, Spring 2015. Computer Science. Cornell University. P&H Chapter 2.11, 5.10,. and 6.5. Announcements. HW2 Review Sessions!. TODAY, Tue, . April 21st. , . Hollister B14@7pm. 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. th. SMXS/MXDECC. Phone: 405-736-4051. Email: james.stevens@tinker.af.mil. I n t e g r i t y - S e r v i c e - E x c e l l e n c e. TEAM TINKER. OKLAHOMA CITY . AIR LOGISTICS COMPLEX. Accelerating Finite Difference Computations Using General Purpose GPU Computing. Martin Burtscher. Department of Computer Science. High-end CPU-GPU Comparison. . Xeon 8180M. . Titan V. Cores 28 5120 (+ 640). Active threads 2 per core 32 per core. Frequency 2.5 (3.8) GHz 1.2 (1.45) GHz. Gyrokinetic. Particle-to-Grid Interpolation for Multicore Processors. Kamesh. . Madduri. , . Samuel Williams. , . Stephane. . Ethier. , . Leonid . Oliker. , John . Shalf. , Erich . Strohmaier. , Katherine Yelick .