Fortran support for NVIDIA CUDA GPUs to be incorporated into a new version of the PGI Fortran compiler Hamburg, Germany, June 23, 2009 - The Portland Group , a wholly-owned subsidiary of ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

I found good help and advice here last time so I figured I would ask about something else. To reiterate what I do, I do pattern recognition (LDA, to be exact, but a heavily modified version of it).

This book shows hows how high-performance application developers can use the power of GPUs using Fortran. Gregory Ruetsch and Massimiliano Fatica presume no prior parallel computing experience, and ...

GPU accelerated supercomputing is not a new phenomenon with many high performance computing codes already primed to run on Nvidia hardware in particular. However, for some legacy codes with special ...

According to the release, the new compiler is developed in collaboration with The Portland Group, the first Fortran compiler compatible with the NVIDIA CUDA-enabled graphics processing units (GPUs). A ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

On Tuesday, Nvidia announced it was going to support x86 processors as a target for CUDA applications. This means that apps that are currently written to support Nvidia’s GPU line for compute ...

AMD has placed their translation tool, GPUFORT, into open source, allowing more transparency from the company for developers and enthusiasts to utilize the code and build off of it. This is speculated ...