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The top documents tagged [david kirknvidia]
© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2011 ECE408/CS483, University of Illinois, Urbana-Champaign 1 ECE408 / CS483 Applied Parallel Programming
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L14: Application Case Studies II CS6963. Administrative Issues Project proposals – Due 5PM, Wednesday, March 17 (hard deadline) – handin cs6963 prop CS6963
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© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007 ECE 498AL, University of Illinois, Urbana-Champaign 1 ECE 498AL Lecture 14: Basic Parallel Programming Concepts
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© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2009 ECE 498AL, University of Illinois, Urbana-Champaign 1 Programming Massively Parallel Processors Using
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©Wen-mei W. Hwu and David Kirk/NVIDIA 2010 ECE 498HK Computational Thinking for Many-core Computing Lecture 15: Dealing with Dynamic Data
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Weekly Report- Matrix multiplications Ph.D. Student: Leo Lee date: Oct. 16, 2009
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Parallel Programming using CUDA. Traditional Computing Von Neumann architecture: instructions are sent from memory to the CPU Serial execution: Instructions
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L4: Memory Hierarchy Optimization I, Locality and Data Placement CS6963
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L7: Memory Hierarchy Optimization IV, Bandwidth Optimization and Case Studies CS6963
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Skew Handling in Aggregate Streaming Queries on GPUs Georgios Koutsoumpakis 1, Iakovos Koutsoumpakis 1 and Anastasios Gounaris 2 1 Uppsala University,
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Cuda application-Case study 2015/10/24 1. Introduction (1) 2015/10/24 GPU Workshop 2 The fast increasing power of the GPU (Graphics Processing Unit) and
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Skew Handling in Aggregate Streaming Queries on GPUs
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