'Grained multithreading' presentation slideshows

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CS136, Advanced Architecture

CS136, Advanced Architecture. Limits to ILP Simultaneous Multithreading. Outline. Limits to ILP (another perspective) Thread Level Parallelism Multithreading Simultaneous Multithreading Power 4 vs. Power 5 Head to Head: VLIW vs. Superscalar vs. SMT Commentary Conclusion. Limits to ILP.

623 views • 49 slides

CS136, Advanced Architecture

CS136, Advanced Architecture. Limits to ILP Simultaneous Multithreading. Outline. Limits to ILP (another perspective) Thread Level Parallelism Multithreading Simultaneous Multithreading Power 4 vs. Power 5 Head to Head: VLIW vs. Superscalar vs. SMT Commentary Conclusion. Limits to ILP.

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John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley

CS252 Graduate Computer Architecture Lecture 11 Limits to ILP / Multithreading February 28 th , 2011. John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~kubitron/cs252. Limits to ILP. Conflicting studies of amount

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COEN-4710 Computer Hardware Lecture 8 From ILP to Parallel Processors (Ch.6)

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Limits to ILP

Limits to ILP. How much ILP is available using existing mechanisms with increasing HW budgets? Do we need to invent new HW/SW mechanisms to keep on processor performance curve? Intel MMX, SSE (Streaming SIMD Extensions): 64 bit ints Intel SSE2: 128 bit, including 2 64-bit Fl. Pt. per clock

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Csci 211 Computer System Architecture Limits on ILP and Simultaneous Multithreading

Csci 211 Computer System Architecture Limits on ILP and Simultaneous Multithreading. Xiuzhen Cheng Department of Computer Sciences The George Washington University. Adapted from the slides by Dr. David Patterson @ UC Berkeley. Review from Last Time.

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Csci 211 Computer System Architecture Limits on ILP and Simultaneous Multithreading

Csci 211 Computer System Architecture Limits on ILP and Simultaneous Multithreading. Xiuzhen Cheng Department of Computer Sciences The George Washington University. Adapted from the slides by Dr. David Patterson @ UC Berkeley. Review from Last Time.

412 views • 41 slides

Limits to ILP

Limits to ILP. Conflicting studies of amount Benchmarks (vectorized Fortran FP vs. integer C programs) Hardware sophistication Compiler sophistication How much ILP is available using existing mechanisms with increasing HW budgets?

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Chapter3 Limitations on Instruction-Level Parallelism

Chapter3 Limitations on Instruction-Level Parallelism. Bernard Chen Ph.D. University of Central Arkansas. Overcome Data Hazards with Dynamic Scheduling. If there is a data dependence, the hazard detection hardware stalls the pipeline

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Advanced Computer Architecture 5MD00 / 5Z033 SMT Simultaneously Multi-Threading

Advanced Computer Architecture 5MD00 / 5Z033 SMT Simultaneously Multi-Threading. Henk Corporaal www.ics.ele.tue.nl/~heco/courses/ h.corporaal@tue.nl TUEindhoven 2012. Lecture overview. How to achieve speedup Simultaneous Multithreading Examples Power 4 vs. Power 5

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Advanced Computer Architecture 5MD00 / 5Z032 SMT Simultaneously Multi-Threading

Advanced Computer Architecture 5MD00 / 5Z032 SMT Simultaneously Multi-Threading. Henk Corporaal www.ics.ele.tue.nl/~heco/courses/ h.corporaal@tue.nl TUEindhoven 2007. Lecture overview. How to achieve speedup Simultaneous Multithreading Examples Power 4 vs. Power 5

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CPE 731 Advanced Computer Architecture Thread Level Parallelism

CPE 731 Advanced Computer Architecture Thread Level Parallelism. Adapted from the slides of Prof. David Patterson, University of California, Berkeley. Outline. Thread Level Parallelism Multithreading Simultaneous Multithreading Power 4 vs. Power 5 Head to Head: VLIW vs. Superscalar vs. SMT

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John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley

CS252 Graduate Computer Architecture Lecture 12 Multithreading / Vector Processing March 2 nd , 2011. John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~kubitron/cs252. Performance beyond single thread ILP.

336 views • 26 slides

John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley

CS252 Graduate Computer Architecture Lecture 12 Multithreading / Vector Processing March 2 nd , 2011. John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~kubitron/cs252. Performance beyond single thread ILP.

261 views • 26 slides

Embedded Computer Architecture 5SAI0 Chip Multi-Processors ( ch 8)

Embedded Computer Architecture 5SAI0 Chip Multi-Processors ( ch 8). Henk Corporaal www.ics.ele.tue.nl/~heco/courses/ECA h.corporaal@tue.nl TUEindhoven 2016-2017. Welcome back. Chip Multi-Processors 8.3: Multi-threading: Coarse grain multi-threading Fine-grain multi-threading

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Multi-core processors

Multi-core processors. 12/1/09. Multiprocessors inside a single chip. It is now possible to implement multiple processors (cores) inside a single chip. The number of cores in multicore processors is expected to double every two years. Manycore processors will become the norm.

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