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.

You have no rights to post comments

Search

Login And Newsletter

Create an account to access exclusive content, comment on articles, and receive our newsletters.

Feedburner


This work is licensed under CC BY-NC-SA 4.0

©2005-2023 Copyright Seagrove LLC, Some rights reserved. Except where otherwise noted, this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. The Cluster Monkey Logo and Monkey Character are Trademarks of Seagrove LLC.