site Search Results
Results for: openacc
Order the NEW
Discounted Dr. Dobb's Developer Library DVD 6
Purchase the fully searchable DVD for $59.95 - a 60% discount! Features
21 years of Dr. Dobb's Journal, 15 years of Sys Admin
magazine, 14+ years of C/C++ Users Journal, 1 year worth of Dr.
Dobb's Digest, podcasts, videos and more! Order Now.
HPC Programming Simplicity On Nvidia PGI 14.4
High-Performance Computing parallelizing compilers and development tools with expanded OpenACC C++ support - Tools
Nvidia Cranks Up HPC Compiler and Tools Cache
Behind every great processor technology stands a great compiler team - Tools
TotalView Debugging Support for Intel Xeon Phi
TotalView 8.12 support for Cray XC30 supercomputer series and Apple - Testing
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
Introduction to OpenACC [video]
Using OpenACC to write your first hybrid application - Parallel
CUDA vs. Phi: Phi Programming for CUDA Developers
Both CUDA and Phi coprocessors provide high degrees of parallelism that can deliver excellent application performance. For the most part, CUDA programmers with existing application code have already written their software so it can run well on Phi coprocessors. However, additional work may be required to achieve the highest possible performance. - 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
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
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
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
