This article provides a simple yet complete working example that demonstrates how OpenACC 2.0 pragmas can be used in the constructor and destructor of a C++ class to allocate and free memory on both the host and device and to transparently move data in the C++ class to support C++ class methods that run on both the host and device. Key to the transparent use of C++ classes in … [Read more...]
MultiOS Gaming CUDA & OpenCL Via a Virtual Machine
Update 12/1/14: Intel now offers through the Xen project full GPU virtualization for Intel 4th generation devices. Operating system virtualization is a convenient way to run multiple operating systems at the same time, on the same hardware, without requiring rebooting. There are several technologies that allow sharing of the GPU by both the host (native) and guest … [Read more...]
Pragmatic Parallelism Part 1: Introducing OpenACC 1.0
OpenACC lets you program in parallel C/C++ and Fortran in a manner that is concise and where the same source code can be recompiled to run on AMD GPUs, NVIDIA GPUs, Intel Xeon Phi, x86, and ARM. View at Dr. Dobbs (http://www.drdobbs.com/parallel/easy-gpu-parallelism-with-openacc/240001776) This is the first in a series of articles by Rob Farber on OpenACC directives, … [Read more...]