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  2. Learn More About David Patterson. Featured Articles, Recent Videos, FAQs, and More. Advocating for awareness in the fields of science, technology, engineering, and math.

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  1. Apr 26, 2024 · Professor. David Andrew Patterson. University of California, Berkeley. Computer scientist; Educator. Area. Mathematical and Physical Sciences. Specialty. Computer Sciences. Elected. 2006. E. H. and M. E. Pardee Professor of Computer Science. President of the Association for Computing Machinery (ACM).

  2. May 7, 2024 · But David Patterson, a founding member and now president of the California Charter Authorizing Professionals, said he’s optimistic that collaborative work over two years will resolve disagreements. He said the bulk of recommendations would not require statutory or regulatory changes and could be adopted immediately.

  3. 2 days ago · David Andrew Patterson (born November 16, 1947) is an American computer pioneer and academic who has held the position of Professor of Computer Science at the University of California, Berkeley since 1976. He announced retirement in 2016 after serving nearly forty years, becoming a distinguished engineer at Google.

  4. May 10, 2024 · He has co-authored more than 60 publications in the field of parallel computing software and HPC technology, including the widely cited “The Landscape of Parallel Computing Research: A View from Berkeley” (with David Patterson and others).

  5. en.wikipedia.org › wiki › Larry_PageLarry Page - Wikipedia

    3 days ago · Lawrence Edward Page (born March 26, 1973) is an American businessman, computer scientist, and internet entrepreneur best known for co-founding Google with Sergey Brin.

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  6. Apr 20, 2024 · -David A. Patterson, University of California at Berkeley, Co-author of Computer Organization and Design Digital Design and Computer Architecture takes a unique and modern approach to digital design. Beginning with

  7. Apr 24, 2024 · Published 24 April 2024. Computer Science, Engineering. TLDR. There can be a place for FPGAs in the world of large machine learning applications by developing a scalable multi-FPGA platform and some tools to map large applications to the platform and some tools to map large applications to the platform. Expand.