I'm at the NVIDIA GPU conference and yesterday they announced their next generation GPU called Fermi. Here are the key points:

  • C++, complementing existing support for C, Fortran, Java, Python, OpenCL and DirectCompute.
  • ECC, a critical requirement for datacenters and supercomputing centers deploying GPUs on a large scale
  • 512 CUDA Cores™ featuring the new IEEE 754-2008 floating-point standard, surpassing even the most advanced CPUs
  • 8x the peak double precision arithmetic performance over NVIDIA’s last generation GPU. Double precision is critical for high-performance computing (HPC) applications such as linear algebra, numerical simulation, and quantum chemistry
  • NVIDIA Parallel DataCache™ - the world’s first true cache hierarchy in a GPU that speeds up algorithms such as physics solvers, raytracing, and sparse matrix multiplication where data addresses are not known beforehand
  • NVIDIA GigaThread™ Engine with support for concurrent kernel execution, where different kernels of the same application context can execute on the GPU at the same time (eg: PhysX® fluid and rigid body solvers)

To get the full technical story, grab the Fermi White Paper. The bottom line, NVIDIA is paying attention to HPC in a BIG way.

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