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Computing in Crisis: Challenges and Opportunities

Computing in Crisis: Challenges and Opportunities. David B. Kirk. Computational Finance. Future Science and Engineering Breakthroughs Hinge on Computing. Computational Chemistry. Computational Geoscience. Computational Medicine. Computational Modeling. Computational Biology.

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Computing in Crisis: Challenges and Opportunities

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  1. Computing in Crisis:Challenges and Opportunities David B. Kirk

  2. Computational Finance Future Science and Engineering Breakthroughs Hinge on Computing Computational Chemistry Computational Geoscience Computational Medicine Computational Modeling Computational Biology Computational Physics Image Processing

  3. IU IU IU IU IU IU IU IU IU IU IU IU IU IU IU IU SP SP SP SP SP SP SP SP SP SP SP SP SP SP SP SP Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory Shared Memory TEX L1 TEX L1 TEX L1 TEX L1 TEX L1 TEX L1 TEX L1 TEX L1 TF TF TF TF TF TF TF TF L2 L2 L2 L2 L2 L2 Memory Memory Memory Memory Memory Memory The Future Computing is Parallel • CPU clock rate growth is slowing, future speed growth will be from parallelism • GeForce-8 Series is a massively parallel computing platform • 12,288 concurrent threads, hardware managed • 128 Thread Processor cores at 1.35 GHz == 518 GFLOPS peak • GPU Computing features enable C on Graphics Processing Unit SP Work Distribution Host CPU

  4. Implications and Opportunities • Massively parallel computing allows • Drastic reduction in “time to discovery” • New, 3rd paradigm for research: computational experimentation • The “democratization of supercomputing” • $3,000/Teraflop in personal computers today • $5,000,000/Petaflops in clusters in two years • HW cost will no longer be the main barrier for big science • Global competition will be won with abilities to create and use parallel systems for discovery • This is once-in-a-career opportunity for many! • Future winner academic institutions will be leaders in • research in Parallel Programming and Parallel Architecture • More importantly, teach massively parallel programming to CS/ECE students, scientists and other engineers. • UIUC is already uniquely positioned! http://www.nvidia.com/Tesla http://developer.nvidia.com/CUDA

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