Programming
Tags: Algorithms, ATI, ATI Radeon HD 4850, Collision detection, Computer science, GLSL, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 M, OpenGL
Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3650, ATI Radeon HD 4850, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 7600 GS, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenGL, Package
Tags: ATI, ATI Radeon HD 4850, ATI Radeon HD 5870, Code generation, DirectX, High-level Languages, HLSL, Image processing, nVidia, nVidia GeForce GTX 470, Pixel shaders
Tags: Algorithms, ATI, ATI Radeon HD 4850, Brook, Computer science, OpenMP, Performance, Presentation
Tags: Algorithms, ATI, ATI Radeon HD 4850, Benchmarking, Computer science, OpenCL, Optimization, Software Engineering
Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4850, Computer science, DirectX, nVidia, nVidia GeForce 8600 GTS, Virtual reality
Tags: ATI, ATI Radeon HD 4850, Bioinformatics, Biology, BLAST, Brook, Sequence alignment
Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Physics
Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, Computational Physics, High Energy Physics - Lattice, Monte Carlo simulation, Physics, Pseudo-random number generators
Tags: ATI, ATI Radeon HD 4850, Brook, Image processing, Video tracking
Most viewed papers (last 30 days)
- OpenCL Performance Evaluation on Modern Multi Core CPUs
- JPEG-GPU:: a GPGPU Implementation of JPEG Core Coding Systems
- Surface Reconstruction from Scattered Point via RBF Interpolation on GPU
- Parallelization of the Ant Colony Optimization for the Shortest Path Problem using OpenMP and CUDA
- An implementation of level set based topology optimization using GPU
- Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack
- CLgrep: A Parallel String Matching Tool
- Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction
- In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL
- Exploiting Uniform Vector Instructions for GPGPU Performance, Energy Efficiency, and Opportunistic Reliability Enhancement
Rating
Parallel GPU-accelerated Recursion-based Generators of Pseudorandom Numbers
Optimizing a Biomedical Imaging Orientation Score Framework
Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU - A Case Study
Speeding up Large-Scale Point-in-Polygon Test Based Spatial Join on GPUs
Real-space density functional theory on graphical processing units: computational approach and comparison to Gaussian basis set methods
OCLoptimizer: An Iterative Optimization Tool for OpenCL
A CUDA-Based Cooperative Evolutionary Multi-Swarm Optimization Applied to Engineering Problems
Implementations of the FFT algorithm on GPU
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling
Breaking DVB-CSA
Recent source codes
Events
May 18-21, 2014 Denver, USA ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, ACM SIGSIM PADS 2014 |
March 17-19, 2014 Lisbon, Portugal 7th International ICST Conference on Simulation Tools and Techniques, SIMUTools 2014 |
June 26, 2013 9:00 AM - 10:00 AM PDT Understanding Dynamic Parallelism at Any Scale with Allinea's Unified Tools (webinar) |
June 4, 2013 10:00 AM - 11:00 AM PDT CUDA 5.5 Features and Release Candidate (RC) program (webinar) |
June 20, 2013 9:00 AM - 10:00 AM PDT GPU Accelerated XenDesktop for Designers and Engineers (webinar) |
Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.
The platforms are
- GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
- GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
- CPU: AMD Phenom II X6 @ 2.8GHz 1055T
- RAM: 12GB
- HDD: 2TB, Raid-0
- OS: OpenSUSE 11.4
- SDK: AMD APP SDK 2.8
- GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
- GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
- CPU: Intel Core i7-2600 @ 3.4GHz
- RAM: 16GB
- HDD: 2TB, Raid-0
- OS: OpenSUSE 12.2
- SDK: nVidia CUDA Toolkit 5.0.35, AMD APP SDK 2.8
Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.
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