NVIDIA® Tesla Computing Solutions Target Market: University/Government/Researcher Cluster Performance in a Dell Workstation

Performance Gains – links and details at WHAT IS GPU COMPUTING? http://www.nvidia.com/object/vertical_solutions.html

• GPU computing = using GPU as a co-processor to the CPU o The CPU runs the sequential portion of the application o The GPU runs the parallel, time consuming portion of the

application • NVIDIA’s GPUs are designed for scientific computing Domain Key Codes Speedups Using GPUs • They support IEEE standard double precision floating point MATLAB, Signal FFT, BLAS, Black- 50x (1 GPU) processing Scholes WHAT IS CUDA? NAMD, VMD, Molecular Dynamics 20x-40x (2-4 GPUs) CHARMM, AMBER • CUDA is the massively parallel architecture of the NVIDIA GPU with 100s of processor cores in it Computational Chemistry GAMESS, Gaussian 20-50x (2 GPUs) Navier-Stokes, 3D CFD (Computational fluid Euler Solver, Lattice 40-50x (2-4 GPUs) HOW TO PROGRAM the GPU? dynamics) Boltzmann FDTD, Maxwell • C compiler toolchain (called “C for CUDA”) for programming the Electromagnetics 100x (4 GPUs) Tesla GPU is available at Equation solvers http://www.nvidia.com/object/tesla_software.html (for Linux, Windows XP, Windows Vista) Sample Dell Precision Configurations • Fortran support is coming soon; currently there are Fortran wrappers in the “C for CUDA” toolkit Dell Display GPU Platform GPU Memory CPU Tesla Product (cores) GPU Compute FOR MORE INFO: T5500 FX580 4GB Quadcore C1060 1(240) 1 Teraflop Tesla Main Web Page: http://www.nvidia.com/tesla T7500 FX1800 8GB Quadcore 2‐ C1060 2(480) 2 Teraflop Vertical Solutions: http://www.nvidia.com/object/vertical_solutions.html Software Tools: http://www.nvidia.com/object/tesla_software.html R5400 FX3800 16GB Quadcore S1070 1U system 4(960) 4 Teraflop Hear from Developers: http://www.youtube.com/nvidiatesla

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