Kubernetes-GPU-Guide - This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
With Intel bracing itself for the discrete GPU market with its upcoming Larrabee chip, Nvidia and AMD are expected to make an earnest attempt at luring millions of users of integrated graphics with their low-end discrete graphics solutions – quid pro quo.
GpuCV is an open-source GPU-accelerated image processing and Computer Vision library. It offers an Intel's OpenCV-like programming interface for easily porting existing OpenCV applications, while taking advantage of the high level of parallelism and computing power available from recent graphics processing units (GPUs). It is distributed as free software under the CeCILL-B license.
Despite begin a unique, key marketing feature of Snow Leopard, Apple has decided to open the code behind Grand Central Dispatch under the liberal Apache 2.0 license. Snow Leopard's new Grand Central Dispatch feature, which serves as a system-wide mechanism for managing parallel task execution across multiple processor cores for developers, involves multiple components in the operating system.
The buzz has been loud at times. Almost sounds to good to be true. Use your video card for HPC and get a 10, or maybe even 50 times, speed up of your application. Those kind of comments get my attention. Initially there were some skeptics, but the results keep coming. And, the results were not from some academic lab with some esoteric application.
The chipmaker is teaming up with content developer OTOY to develop and deploy applications, high-definition (HD) content and even games in the cloud using a massively-parallel supercomputer.
Open GPU Documentation: This page contains register level documentation on AMD graphics processors for chip initialization, displays, and overlays. Documents for mobile chips are a superset of the desktop chip documentation; they contain all the desktop chip information as well as any relevant mobile additions.
Welcome To The PS3cluster Guide Our community guide allows you to set up your own MPI (Message Passing Interface) based supercomputer cluster with the Playstation 3. This guide was co-written by Gaurav Khanna, based on his previous work on the Gravity Grid and is a current run-time environment for the research of co-author (Chris Poulin), based on his current work in distributed pattern recognition. As such, we currently utilize the Fedora Core for this infrastructure and illustrate a "how-to" below. NOTE: We focus on the Fedora 8 distribution, due to prevalence of Fedora and its Cell SDK (3.0) compatibility. Finally, this content should be considered open source, and here is the license.
You want a cheap high performance GPU for deep learning? In this blog post I will guide through the choices, so you can find the GPU which is best for you.
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