Tag: Parallel Processing
Randall J. Leveque, Professor of Applied Mathematics at the University of Washington in Seattle, will be conducting a free course that brings the principles of parallelism in high performance computers to those in scientific computing.
Muticore processors may extend the viability of Moore’s Law, but present their own challenges.
A recent report found the Core i7 couldn’t match the parallel processing performance of an NVIDIA GPU.
It’s been almost three years since GPU computing broke into the mainstream of HPC with the introduction of NVIDIA’s CUDA API in September 2007. Adoption of the technology since then has proceeded at a surprisingly strong and steady pace. The relatively-rapid adoption of CUDA by a community not known for the rapid adoption of much of anything is a noteworthy signal.
Multicore CPUs are not the answer, says NVIDIA’s Bill Dally.