'Auto tuning' diaporamas de présentation

Auto-tuning Performance on Multicore Computers

Auto-tuning Performance on Multicore Computers. Auto-tuning Performance on Multicore Computers. Samuel Williams David Patterson, advisor and chair Kathy Yelick Sara McMains Ph.D. Dissertation Talk samw@cs.berkeley.edu. Multicore Processors. Multicore Processors. Superscalar Era.

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A Vision for Integrating Performance Counters into the Roofline model

A Vision for Integrating Performance Counters into the Roofline model. Samuel Williams 1,2 samw@cs.berkeley.edu with Andrew Waterman 1 , Heidi Pan 1,3 , David Patterson 1 , Krste Asanovic 1 , Jim Demmel 1 1 University of California, Berkeley 2 Lawrence Berkeley National Laboratory

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Auto-tuning Stencil Codes for Cache-Based Multicore Platforms

Auto-tuning Stencil Codes for Cache-Based Multicore Platforms. Kaushik Datta Dissertation Talk December 4, 2009. Motivation. Multicore revolution has produced wide variety of architectures Compilers alone fail to fully exploit multicore resources Hand-tuning has become infeasible

528 views • 52 slides

Lattice Boltzmann Hybrid Auto-Tuning on High-End Computational Platforms

Lattice Boltzmann Hybrid Auto-Tuning on High-End Computational Platforms. Samuel Williams, Jonathan Carter, Leonid Oliker , John Shalf , Katherine Yelick Lawrence Berkeley National Laboratory (LBNL) National Energy Research Scientific Computing Center (NERSC) SWWilliams@lbl. gov.

423 views • 42 slides

Wei Jiang and Gagan Agrawal

MATE-CG: A MapReduce-Like Framework for Accelerating Data-Intensive Computations on Heterogeneous Clusters. Wei Jiang and Gagan Agrawal. Outline. Background System Design and Implementation Auto-Tuning Framework Applications Experiments Related Work Conclusion. Background (I).

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Towards Auto-tuning Framework for Numerical Libraries

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Samuel Williams, Jonathan Carter, Leonid Oliker , John Shalf , Katherine Yelick

Resource-Efficient, Hierarchical Auto-tuning of a Hybrid Lattice Boltzmann Computation on the Cray XT4. Samuel Williams, Jonathan Carter, Leonid Oliker , John Shalf , Katherine Yelick Lawrence Berkeley National Laboratory (LBNL)

581 views • 33 slides

A Generalized Framework for Auto-tuning Stencil Computations

A Generalized Framework for Auto-tuning Stencil Computations. Shoaib Kamil 1,3 , Cy Chan 4 , Samuel Williams 1 , Leonid Oliker 1 , John Shalf 1,2 , Mark Howison 3 , E. Wes Bethel 1 , Prabhat 1 1 Lawrence Berkeley National Laboratory (LBNL)

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357 views • 28 slides

Emerging PIT-tag Technologies

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Automating Auto Tuning

Automating Auto Tuning. Jeffrey K. Hollingsworth University of Maryland hollings@cs.umd.edu. Auto-tuning Motivation . Example, a dense matrix multiple kernel Various Options: Original program: 30.1 sec Hand Tuned (by developer): 11.4 sec Auto-tuned of hand-tuned: 15.9 sec

186 views • 18 slides

NET100 Development of network-aware operating systems

NET100 Development of network-aware operating systems. Tom Dunigan thd@ornl.gov. Net100 project. New DOE-funded (Office of Science) project ($1M/yr, 3 yrs) Principal investigators Wendy Huntoon and the PSC/Web100 team (Janet Brown, Matt Mathis) Brian Tierney, LBNL Tom Dunigan, ORNL

254 views • 15 slides

PGAS Language Update

PGAS Language Update. Kathy Yelick. PGAS Languages: Why use 2 Programming Models when 1 will do?. Global address space: thread may directly read/write remote data Partitioned: data is designated as local or global. A[0]:1 A[1]: 2 A[p-1]: p.

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PGAS Language Update

PGAS Language Update. Kathy Yelick. PGAS Languages: Why use 2 Programming Models when 1 will do?. Global address space: thread may directly read/write remote data Partitioned: data is designated as local or global. A[0]:1 A[1]: 2 A[p-1]: p.

126 views • 12 slides

Discussions on the next PAAP workshop, RIKEN

Discussions on the next PAAP workshop, RIKEN. Collaborations toward PAAP. Several potential topics : Applications (Wave Propagation, Climate, Reactor Physic, Dynamic Molecular, Material science, chemistry)

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Net100 PIs: Wendy Huntoon/PSC, Tom Dunigan/ORNL, Brian Tierney/LBNL

Net100 PIs: Wendy Huntoon/PSC, Tom Dunigan/ORNL, Brian Tierney/LBNL. Net100 Novel Ideas. Net100 will tune network-UNaware applications based on recent and current link characteristics Net100 will tune more than just transport buffer sizes, such as TCP AIMD parameters DUP threshold

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Open Source Software

Open Source Software. An introductory PowerPoint. Open Source Software is software that a company will release for free for people to use and make changes to as they please. The software that gets released as open source is often not the most up to date software, however.

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Yaskawa A1000 Drives with its latest vector control technology is capable of delivering higher order performance to meet

Yaskawa A1000 Drives with its latest vector control technology is capable of delivering higher order performance to meet customer expectations. A1000, not only performs but is aesthetically superior and incredibly powerful. A truly reliable product to address future requirements & current needs, only possible from L&T.

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151 views • 1 slides

My Best AFC Result

123 views • 1 slides