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Caps Workbench Now Supports OpenACC
Cross-platform API and open parallel programming standard for programmers - Open Source
Introduction to OpenACC [video]
Using OpenACC to write your first hybrid application - Parallel
Creating and Using Libraries with OpenACC
How to write reusable methods (libraries, subroutines, and functions) that can transparently call optimized CPU and GPU libraries using OpenACC pragmas. - Parallel
Optimizing Algorithms Versus GPU Programming, Which Is Best?
New HPC compilers and development tools with support for OpenACC GPU directives and native CUDA C/C++ optimized for multi-core x86 - Tools
The OpenACC Execution Model
In this second part of the introduction to OpenACC — the OpenMP-style library for GPU programming — the execution model is explained and samples are benchmarked against straight, OpenMP parallelism. - Parallel
Easy GPU Parallelism with OpenACC
An emerging standard uses pragmas to move parallel computations in C/C++ and Fortran to the GPU - Parallel
Caps Raises The Case For Hybrid Multicore Parallel Programming
Company adds support for AMD's heterogeneous compute platforms - Parallel
Intel's 50-Core Xeon Phi: The New Era of Inexpensive Supercomputing
The advent of Intel's massively parallel coprocessor will make every server a supercomputer. - Parallel
Comparing OpenCL, CUDA, and OpenACC [video]
Rob Farber takes you on a tour of the paths to massively parallel x86, MultiGPU, and CPU+GPU applications. - Parallel
Will Parallel Code Ever Be Embraced?
The advent of the many-core era is not going to push developers to write more parallel code. That hasn't happened as we've gone from 1- to 2- to 4- to 8-core processors, has it? Writing parallel code is not the problem. So, let's stop trying to fix it. - Parallel
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