GPGPU
General-Purpose Computation Using Graphics Hardware

Introduction

GPGPU stands for General-Purpose computation on GPUs. With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed. They are now capable coprocessors, and their high speed makes them useful for a variety of applications. The goal of this page is to catalog the current and historical use of GPUs for general-purpose computation.

Contribute
Have some GPGPU News to Contribute? Submit it!

Contact Us


Subscribe to a syndicated RSS feed of GPGPU.
Subscribe to a syndicated RSS feed of GPGPU.

Powered by Blosxom.

Hosted by ibiblio.org

Microprocessor Report: Parallel Processing With CUDA

This article in the January 28, 2008 issue of Microprocessor Report discusses parallel computing with massive multiprocessing on GPUs using NVIDIA CUDA. While the full article requires a subscription, a summary is available here.

Posted: 10 Feb 2008 [GPGPU /Press] #

GPGPUs: Neat Idea or Disruptive Technology?

"General purpose graphics processing units can perform amazingly well when used effectively." This article by Rob Farber at Scientific Computing provides a brief high-level discussion of GPGPU and NVIDIA CUDA.

Posted: 10 Feb 2008 [GPGPU /Press] #

NVIDIA Tesla wins PC Magazine Technical Excellence Award

NVIDIA's new Tesla GPU Computing line of GPUs have won a PC Magazine Technical Excellence Award in the Component category. From the PC Magazine article: "Sure, you know GPUs, but have you heard of GPGPUs? The concept is simple: Use the massively parallel architecture of the graphics processor for general-purpose computing tasks. Because of that parallelism, ordinary calculations can be dramatically sped up. To create the Tesla, its powerful new entry into this market, nVidia has bundled multiple GPUs (without video connectors!) into either a board or a desk-side box that offers near-supercomputer levels of single-precision floating-point operations. The general-purpose GPU (thus the acronym GPGPU) is being used as a high-performance coprocessor for climate modeling, oil and gas exploration, and other applications—and it's much cheaper than a supercomputer. The Tesla even comes complete with its own C compiler and tools."

Posted: 14 Dec 2007 [GPGPU /Press] #

Neoptica Acquired by Intel

Neoptica, a computer graphics and parallel programming model startup founded by Matt Pharr and Craig Kolb, was acquired by Intel on October 19th. Beyond3D has posted a short writeup about the acquisition. Several of Neoptica's employees have in the past been involved in GPGPU development.

Posted: 28 Nov 2007 [GPGPU /Press] #

Converging Design Features in CPUs and GPUs

This article at HPC Wire by Matthew Papakipos, CTO of PeakStream Technologies, discusses the convergence of CPU and GPU architectures, the programming challenges architecture changes pose, and possible solutions to these challenges.

Posted: 22 Jan 2007 [GPGPU /Press] #

GPGPU a Disruptive Technology for 2007

An article by David Strom in Information Week includes "Advanced Graphics Processing" in it's article "5 Disruptive Technologies To Watch in 2007", and specifically mentions GPGPU and NVIDIA CUDA. "In some cases, the new graphics cards being developed by NVIDIA and ATI (now a part of AMD) will have a bigger impact on computational processing than the latest chips from Intel and AMD.", writes Strom.

Posted: 18 Jan 2007 [GPGPU /Press] #

GPGPU gets Wired: "Supercomputing's Next Revolution"

Wired magazine has published an article about GPGPU by Paul Tulloch called "Supercomputing's Next Revolution". The article discusses recent results from the Stanford Folding@Home project and the UNC Gamma Group, whose most resent results will be presented next week at Supercomputing 2006 in Tampa, Florida.

Posted: 10 Nov 2006 [GPGPU /Press] #

EDN.com: "Instigating a platform tug of war: Graphics vendors hunger for CPU suppliers' turf"

This article by EDN Senior Technical Editor Brian Dipert investigates the increasing generalization of the GPU business, covering wide-ranging topics including the AGP- to-PCI-express platform transition; GPGPU; video codecs; image editing; and physics simulation. In addition to this article, Dipert will be continuing his exploration of these topics in his blog. He has already posted several entries related to the main article (1 2 3 4 5 6). (Instigating a platform tug of war: Graphics vendors hunger for CPU suppliers' turf. Brian Dipert. EDN.com.)

Posted: 17 Oct 2005 [GPGPU /Press] #

"Hijacking the GPU"

This enthusiastic bit of reporting from APC Magazine provides a wild ride through the nascent field of GPGPU. (Hijacking the GPU, by Dan Warne. APC Magazine. August 11, 2005.)

Posted: 22 Aug 2005 [GPGPU /Press] #


Categories