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- Graphics Programming on the Web WebCL Course Notes
- Use NVIDIA CUDA technology to create genetic algorithms with extensive population
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Rating
Medusa: Simplified Graph Processing on GPUs
Graphics Programming on the Web WebCL Course Notes
Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search
Automatic Compilation for Heterogeneous Architectures with Single Assignment C
Stencil-Aware GPU Optimization of Iterative Solvers
Optimizing MapReduce for GPUs with effective shared memory usage
Mr. Scan: Extreme Scale Density-Based Clustering using a Tree-Based Network of GPGPU Nodes
Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection
A parallel decoding algorithm of LDPC codes using CUDA
Just-in-time Acceleration of JavaScript
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Recent source codes
Events
October 1-4, 2013 Lyon, France The 2013 International Workshop on Embedded Multicore Systems, ICPP-EMS 2013 |
November 13-15, 2013 Zhangjiajie, China 3rd International Workshop on Embedded Multi-core Computing and Applications, EMCA 2013 |
February 2-6, 2014 San Francisco, USA |
February 12-14, 2014 Turin, Italy |
November 11-14, 2013 San Jose, California, USA |
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Free GPU computing node at hgpu.org
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
Node 1
- 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
Node 2
- 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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