Search Results for "cuda" - Page 11

Parallel Content-Based matching algorithm running on multi-core CPUs and on CUDA GPUs. It includes a translator from the SIENA publish/subscribe system events and subscriptions and a large number of workloads to test its performance.

...Piotr Fiertek Celem projektu jest stworzenie środowiska symulacyjnego dla procesów termicznych zachodzących w pomieszczeniach. Integralną jego częścią jest implementacja algorytmów obliczeniowych na procesorach graficznych GPU przy użyciu standardów CUDA oraz OpenCL. Innymi ważnymi elementami są graficzna wizualizacja wyników z wykorzystaniem biblioteki graficznej OpenGL oraz stworzenie interfejsu użytkownika umożliwiającego zmianę parametrów symulacji.

A GPU memory test utility for NVIDIA and AMD GPUs using well established patterns from memtest86/memtest86+ as well as additional stress tests. The tests are designed to find hardware and soft errors. The code is written in CUDA and OpenCL.

GPU-based autocorrelator to run on VLBI disk based Data Recorders. Written in CUDA

CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. ...

Fast opening with linear SE on CPU and GPU using Bartovsky algorithm. Featuring console example application.

Yet another ray-tracer. Mixing Python, CUDA and a specialized compact SDL (Scene Description Language).

hiCUDA is a directive-based abstraction that simplifies CUDA programming. This project aims to develop a source-to-source compiler, based on Open64, that translates a sequential program with hiCUDA directives into an equivalent CUDA program.

...RegnANN makes no assumptions about the nature of the relationships between the variables, potentially capturing high-order and non linear dependencies between expression patterns. To compile the software you are required to install CUDA SDK for your platform. We provide a reference Makefile that should be good enough for standard installations (unix/32bits). See README file for further information The software is part of research work published online. To cite it: Grimaldi M, Visintainer R, Jurman G (2011) RegnANN: Reverse Engineering Gene Networks Using Artificial Neural Networks. ...

The Open64 Compiler and Tools site is dedicated to the continued development of the former SGI Pro64(TM) compiler for the IA64, x86, CUDA and MIPS architecture.

simulator stars cuda

This project is for CUDA bindings in F95/2003 using the Fortran 2003 ISO_C_BINDINGS module. It is intended to give near native call syntax to the CUDA SDK in Fortran 2003. Currently, most Fortran compilers are supporting the ISO_C_BINDINGS module.

A 2D/3D image viewer that uses of NVidias CUDA

GPU CHAP MD5 bruteforcer with NVIDIA CUDA acceleration

A library based on NVidias CUDA for decoding JPEG images. Decoding is accelerated by the GPU.

In this projects we are trying to develop a software that translates ordinary C programs into CUDA programs to get better performance by optimizing the parallel calculation parts.

This project is a Neural Network Training Library implemented on CUDA. It's compatible with the most used libraries but allows to exploit the full power of NVIDIA graphic cards. Experimental results show speed ups over 100 times against CPU libraries

LINUX FlameFractal generator using CUDA and Jack.

This is a simple ray tracing algorithm implementation. The same algorithm is implemented on CPU and GPU with CUDA, and the performance of the GPU based ray tracing is much better than the naive CPU one. cuda and directx sdk are required.

C/CUDA C library for working with tensors in Tensor Train format.

birgHPC is a Linux Live CD distribution based on PelicanHPC and Debian Live. birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics. If you are looking for CUDA support, try birgHPCC (https://sourceforge.net/projects/birghpcc/) If you use birgHPC in your work, please cite us: Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir. birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics. Bioinformatics. Volume 27, Issue 9. pp 1320-1321. doi: 10.1093/bioinformatics/btr109

Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec.

The goal of project "defE" is to build a library to handle the simulation of the transformation and collision about deformable geometry using the sphere-spring system. It uses CUDA to deal with the enormous mount of parallel computable calculation.

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.