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HPC Programming Simplicity On Nvidia PGI 14.4

Dr. Dobb's Journal,
May 09, 2014

High-Performance Computing parallelizing compilers and development tools with expanded OpenACC C++ support - Tools

Nvidia Cranks Up HPC Compiler and Tools Cache

Dr. Dobb's Journal,
August 01, 2013

Behind every great processor technology stands a great compiler team - Tools

TotalView Debugging Support for Intel Xeon Phi

Dr. Dobb's Journal,
June 18, 2013

TotalView 8.12 support for Cray XC30 supercomputer series and Apple - Testing

Comparing OpenCL, CUDA, and OpenACC [video]

Dr. Dobb's Journal,
January 01, 2013

Rob Farber takes you on a tour of the paths to massively parallel x86, MultiGPU, and CPU+GPU applications. - Parallel

Introduction to OpenACC [video]

Dr. Dobb's Journal,
December 24, 2012

Using OpenACC to write your first hybrid application - Parallel

CUDA vs. Phi: Phi Programming for CUDA Developers

Dr. Dobb's Journal,
December 17, 2012

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

Dr. Dobb's JournalAndrew Binstock
November 13, 2012

The advent of Intel's massively parallel coprocessor will make every server a supercomputer. - Parallel

Creating and Using Libraries with OpenACC

Dr. Dobb's Journal,
October 29, 2012

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

Dr. Dobb's Journal,
August 27, 2012

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?

Dr. Dobb's JournalAndrew Binstock
July 18, 2012

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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