Today during his keynote at the GPU Technology Conference in San Jose, California, Nvidia's co-founder, CEO and President, Jen-Hsun Huang, announced a collaboration with PGI (The Portland Group) for CUDA x86, a solution that enables CUDA apps to be accelerated on basically any PC and server.
The incoming PGI CUDA C compiler for x86 allows developers to optimize CUDA applications for x86 systems that don't include an Nvidia GPU, making them utilize multiple cores and the streaming SIMD (Single Instruction Multiple Data) capabilities of Intel and AMD CPUs for parallel execution.
"CUDA C for x86 is a perfect complement to CUDA Fortran and PGI's optimizing parallel Fortran and C compilers for multi-core x86," said Douglas Miles, director, The Portland Group. "It's another important element in our on-going strategy of providing HPC programmers with development tools that give PGI users a full range of options for optimizing compute-intensive applications, while allowing them to leverage the latest technical innovations from AMD, Intel and Nvidia."
CUDA x86 is set to be demonstrated at the SC10 Supercomputing conference in November but it's not yet known when it will become available.