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The next supercomputer with NVIDIA's Wen-Mei Hwu

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Conteúdo fornecido por Scott Hanselman. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Scott Hanselman ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes 2024 ACM-IEEE CS Eckert-Mauchly Award recipient Wen-Mei Hwu, Senior Distinguished Research Scientist at NVIDIA and Professor Emeritus at the University of Illinois, Urbana-Champaign. He was recognized for pioneering and foundational contributions to the design and adoption of multiple generations of processor architectures. His fundamental and pioneering contributions have had a broad impact on three generations of processor architectures: superscalar, VLIW, and throughput-oriented manycore processors (GPUs). Other honors and recognitions include the 1999 ACM Grace Murray Hopper Award, 2006 ISCA Most Influential Paper Award, 2014 MICRO Test-of-Time Award, and 2018 CGO Test-of-Time Award. He is the co-author, with David Kirk, of the popular textbook Programming Massively Parallel Processors.

Wen-Mei discusses the evolution of Moore’s Law and the significance of Dennard Scaling, which allowed for faster, more efficient processors without increasing chip size or power consumption. He explains how his research group’s approach to microarchitecture at the University of California, Berkeley in the 80s led to advancements such as Intel’s P6 processor. Wen-Mei and Scott discuss the early days of processors and the rise of specialized processors and new computational units. They also share their predictions about the future of computing and advancements that will be required to handle vast data sets in real time, and potential devices that would extend human capabilities.

  continue reading

972 episódios

Artwork
iconCompartilhar
 
Manage episode 442578769 series 2113983
Conteúdo fornecido por Scott Hanselman. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Scott Hanselman ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes 2024 ACM-IEEE CS Eckert-Mauchly Award recipient Wen-Mei Hwu, Senior Distinguished Research Scientist at NVIDIA and Professor Emeritus at the University of Illinois, Urbana-Champaign. He was recognized for pioneering and foundational contributions to the design and adoption of multiple generations of processor architectures. His fundamental and pioneering contributions have had a broad impact on three generations of processor architectures: superscalar, VLIW, and throughput-oriented manycore processors (GPUs). Other honors and recognitions include the 1999 ACM Grace Murray Hopper Award, 2006 ISCA Most Influential Paper Award, 2014 MICRO Test-of-Time Award, and 2018 CGO Test-of-Time Award. He is the co-author, with David Kirk, of the popular textbook Programming Massively Parallel Processors.

Wen-Mei discusses the evolution of Moore’s Law and the significance of Dennard Scaling, which allowed for faster, more efficient processors without increasing chip size or power consumption. He explains how his research group’s approach to microarchitecture at the University of California, Berkeley in the 80s led to advancements such as Intel’s P6 processor. Wen-Mei and Scott discuss the early days of processors and the rise of specialized processors and new computational units. They also share their predictions about the future of computing and advancements that will be required to handle vast data sets in real time, and potential devices that would extend human capabilities.

  continue reading

972 episódios

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