The 2012 International Conference on Network Computing and Information Security (NCIS’12) and the 2012 International Conference on Multimedia and Signal Processing (CMSP’12) will be jointly held at Shanghai, China in December 7-9, 2012. NCIS’12- CMSP’12 aims to provide a high-level … >>>
Parallel, Distributed, and Network-Based Processing has undergone impressive change over recent years. New architectures and applications have rapidly become the central focus of the discipline. These changes are often a result of cross-fertilisation of parallel and distributed technologies with other … >>>
Co-located with 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2012). This workshop provides a forum for the presentation of research on all aspects of GPU and multicore processors programming models, compiler optimizations, language extensions, and software tools for … >>>
Graphics processing units (GPUs) offer a low-cost approach to parallel high-performance computing. Neuronal simulations can be parallelized efficiently and are particularly well suited for implementation on GPUs. There is also great potential for GPU-based high-throughput analysis of neuronal data. The … >>>
The fifth International workshop and tutorial on Computational Intelligence on Consumer Games and Graphics Hardware (CIGPU 2012) will be held as a hybrid special session of the IEEE WCCI 2012 conference in Brisbane, 10-15 June 2012. WCCI 2012, the IEEE … >>>
The Special Session on GPU Computing and Hybrid Computing aims at providing a forum for scientific researchers and engineers on hot topics related to GPU computing and hybrid computing with special emphasis on applications, performance analysis, programming models and mechanisms … >>>
InPar 2012 is co-located with NVidia’s GPU Technology Conference. This new conference provides a first-tier academic venue for peer-reviewed publications in the emerging fields of parallel computing, encompassing the topics of GPU computing, manycore computing, and heterogeneous computing. InPar has … >>>
GTC advances awareness of high performance computing, and connects the scientists, engineers, researchers, and developers who use GPUs to tackle enormous computational challenges. GTC 2012 will feature the latest breakthroughs and the most amazing content in GPU-enabled computing. Spanning 4 … >>>
The International Symposium on Computer Architecture is the premier forum for new ideas and experimental results in computer architecture. Novel papers are solicited on a broad range of topics, including (but not limited to): * Processor, memory, and storage systems … >>>
Most viewed papers (last 30 days)
- Graphics Programming on the Web WebCL Course Notes
- Use NVIDIA CUDA technology to create genetic algorithms with extensive population
- Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples
- Implementations of the FFT algorithm on GPU
- GPU Scripting and Code Generation with PyCUDA
- A General-Purpose GPU Reservoir Computer
- One OpenCL to Rule Them All?
- Adding GPU Computing to Computer Organization Courses
- Faster Upper Body Pose Estimation and Recognition Using CUDA
- GPU Computing in Discrete Optimization - Part I: Introduction to the GPU
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
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 |
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.
The information send to hgpu.org will be treated according to our Privacy Policy

