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Directions in parallel processor architecture, and GPUs too

<!--HTML--><p>Modern computing is power-limited in every domain of computing. Performance increments extracted from instruction-level parallelism (ILP) are no longer power-efficient; they haven&#39;t been for some time. Thread-level parallelism (TLP) is a more easily exploited form o...

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Autor principal: Giroux, Olivier
Lenguaje:eng
Publicado: 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1714080
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author Giroux, Olivier
author_facet Giroux, Olivier
author_sort Giroux, Olivier
collection CERN
description <!--HTML--><p>Modern computing is power-limited in every domain of computing. Performance increments extracted from instruction-level parallelism (ILP) are no longer power-efficient; they haven&#39;t been for some time. Thread-level parallelism (TLP) is a more easily exploited form of parallelism, at the expense of programmer effort to expose it in the program. In this talk, I will introduce you to disparate topics in parallel processor architecture that will impact programming models (and you) in both the near and far future.</p> <p>About the speaker</p> <p>Olivier is a senior GPU (SM) architect at NVIDIA and an active participant in the concurrency working group of the ISO C++ committee. He has also worked on very large diesel engines as a mechanical engineer, and taught at McGill University (Canada) as a faculty instructor.</p>
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institution Organización Europea para la Investigación Nuclear
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spelling cern-17140802022-11-02T22:30:05Zhttp://cds.cern.ch/record/1714080engGiroux, OlivierDirections in parallel processor architecture, and GPUs tooDirections in parallel processor architecture, and GPUs tooComputing Seminar<!--HTML--><p>Modern computing is power-limited in every domain of computing. Performance increments extracted from instruction-level parallelism (ILP) are no longer power-efficient; they haven&#39;t been for some time. Thread-level parallelism (TLP) is a more easily exploited form of parallelism, at the expense of programmer effort to expose it in the program. In this talk, I will introduce you to disparate topics in parallel processor architecture that will impact programming models (and you) in both the near and far future.</p> <p>About the speaker</p> <p>Olivier is a senior GPU (SM) architect at NVIDIA and an active participant in the concurrency working group of the ISO C++ committee. He has also worked on very large diesel engines as a mechanical engineer, and taught at McGill University (Canada) as a faculty instructor.</p> oai:cds.cern.ch:17140802014
spellingShingle Computing Seminar
Giroux, Olivier
Directions in parallel processor architecture, and GPUs too
title Directions in parallel processor architecture, and GPUs too
title_full Directions in parallel processor architecture, and GPUs too
title_fullStr Directions in parallel processor architecture, and GPUs too
title_full_unstemmed Directions in parallel processor architecture, and GPUs too
title_short Directions in parallel processor architecture, and GPUs too
title_sort directions in parallel processor architecture, and gpus too
topic Computing Seminar
url http://cds.cern.ch/record/1714080
work_keys_str_mv AT girouxolivier directionsinparallelprocessorarchitectureandgpustoo