1. UIUC CSL Global Technology Forum © NVIDIA Corporation 2007 Computing in Crisis: Challenges and Opportunities David B. Kirk

2. © NVIDIA Corporation 2007 2UIUC CSL Global Technology Forum Future Science and Engineering Breakthroughs Hinge on Computing Computational Modeling Computational Chemistry Computational Medicine Computational Physics Computational Biology Computational Finance Computational Geoscience Image Processing

3. © NVIDIA Corporation 2007 3UIUC CSL Global Technology Forum TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF TEX L1 SP Shared Memory IU SP Shared Memory IU TF L2 Memory Work Distribution Host CPU L2 Memory L2 Memory L2 Memory L2 Memory L2 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

4. © NVIDIA Corporation 2007 4UIUC CSL Global Technology Forum Implications and Opportunities Massively parallel computing allows Drastic reduction in “time to discovery” New, 3 rd 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