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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't been for some time. Thread-level parallelism (TLP) is a more easily exploited form o...
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Lenguaje: | eng |
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2014
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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'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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id | cern-1714080 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
record_format | invenio |
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'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 |