Search Results for "gpu" - Page 9

The “books” repository is a collection of scanned / digitized books, tutorials, source code and documents related to Flash / ActionScript 3.0 and graphics/game programming. It includes Chinese translations and source code for AS3 animation, Stage3D tutorials, 3D mathematics, etc. It is more of a resource repository than a software product.

...When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014

Command line tool that uses AMD ADL OverDrive5 interface to control power and fan speed of their GPU boards. Look at the Wiki page about usage. Works on Windows and Linux (if video driver is loaded).

NUDA (= Nemerle Unified Device Architecture) is a set of extensions for Nemerle programming language to facilitate GPU programming and writing HPC applications. Its main purpose is to experiment with extensible languages for HPC applications

Linderdaum Engine is an open source purely object-oriented 3D gaming engine written in C++. It is designed to be an integrated solution for the development of interactive 3D applications, for game, industrial and scientific visualization.

A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc.

This screensaver shows ripples on the desktop. The main aim of this project is using GPU for calculations.

Fossa is a runtime CUDA memory extender for Linux. With fossa, users can run CUDA applications that require more than the available amount of GPU memory. Fossa is targeted toward command line driven applications.

Allows CUDA developers to deploy kernels requiring more global GPU memory than is available by transparently mapping pinned CPU memory into the GPU memory map. Works behind the scenes and is easily added to existing projects with minimal effort.

cppgpgpu is a compile-in library of functions designed to aide users in writing applications that make heavy use of the GPU for computing in an OpenGL environment. This cuts through the boiler plate so you don't have to.

Porting of the core simulation portions of smoldyn to the GPU, using CUDA

Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC

Uma poderosa Engine para games.

A simple rendering, image processing engine. Includes a framework width (multiplatform) event handling, plugin management, a templated based math library and some exotic features like general linear camera, gpu based (OpenGL) image process...

Pow! is a lightweight, but powerful utility to help stress-test your CPU and GPU. You can also use it check the warranty status of any serialized Apple product, view a summary of your computer’s hardware information, and more.

CrystalGPU is an execution framework that transparently enables applications to exploit a number of high-level GPU capabilities such as overlapping communication and computation, short lived buffer reuse, and harnessing multi-GPU systems.

StoreGPU is a library that accelerates hashing functions (MD5 and SHA1) by offloading the hashing computation to the GPU. StoreGPU provides two hashing modes: standard hashing mode, and sliding window hashing mode.

This project has moved to GitHub https://github.com/srossross/Clyther

A fast JPEG2000 encoder running on CUDA-capable GPUs. Supports lossless and lossy encoding. Both commandline tool with GUI and CUDA/C++ library. Visit >> http://cuj2k.sourceforge.net << for further information.

gpucalc is a library for computation using Graphical Processing Unit (GPU) and Central Processing Unit (CPU).

This project implements the multi-GPU version of MapReduce.

This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.

A simple, cross platform performance monitoring application specifically designed to be used with nVidia's instrumented driver and the NVPerfSDK to give a graphical representation of internal GPU counters. Support for non-GPU counters is also available.

Sh is a predecessor to the RapidMind Multi-core Development Platform, a metaprogramming language for programmable GPUs. It is the result of research at the University of Waterloo Computer Graphics Lab.

...Look at "Debunking the 100X GPU vs. CPU Myth: An Evaluation of Throughput Computing on CPU and GPU" paper by Victor W Lee, Changkyu Kim, Jatin Chhugani, Michael Deisher, Daehyun Kim, Anthony D. Nguyen, Nadathur Satish, Mikhail Smelyanskiy, Srinivas Chennupaty, Per Hammarlund, Ronak Singhal and Pradeep Dubey.