Free compiler allows Java developers to target GPU accelerators.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/knights_corner_chip.jpg” alt=”” width=”99″ height=”78″ />Intel has released a partial software stack for Knights Corner, the company’s first commercial chip based on its Many Integrated Core (MIC) architecture. Also released were a number of documents describing the processor’s micro-architecture, including the Knights Corner Instruction Set (ISA) Manual, which will help toolmakers and application developers build software for the upcoming chip.
Software maker offers heterogeneous computing in a C++ wrapper.
The Portland Group’s directives-based approach to programming accelerators.
NVIDIA’s CUDA is easily the most popular programming language for general-purpose GPU computing. But one of the more interesting developments in the CUDA-verse doesn’t really involve GPUs at all. In September, HPC compiler vendor PGI (The Portland Group Inc.) announced its intent to build a CUDA compiler for x86 platforms. The technology will be demonstrated for the first time in public at SC10 this week in New Orleans.
GPU programming comes to Microsoft’s popular IDE.
Company aims to ease programming for heterogeneous chips.
Defunct HPC vendor SiCortex touches off the open source debate.
Last week’s International Supercomputing Conference (ISC’09) was a convenient excuse for vendors to announce a raft of new products, but three, in particular, stood out.
The second wave of GPGPU software development tools is upon us. New tools from The Portland Group Inc. (PGI) and French-based CAPS Enterprise enable everyday C and Fortran programmers to tap into GPU acceleration within an integrated heterogeneous computing environment.