Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing including design and analysis of parallel and distributed systems, embedded systems, and their applications in scientific, engineering, and commercial areas. … >>>
The HPEC charter is to be the premier conference in the world on the confluence of HPC and Embedded Computing. The High Performance Extreme Computing (HPEC) technical committee announces the Seventeenth Annual HPEC conference to be held 24–26 September 2013 … >>>
Co-located with 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2013). his workshop aims to bring the programming community together to explore and discuss various options to make programming heterogeneous systems less challenging and more interesting. The workshop seeks … >>>
The Computing Frontiers conference focuses on a wide spectrum of advanced methodologies, technologies and radically new solutions relevant to the development of the whole spectrum of computing over the next few decades. The goals of the meeting range over from … >>>
Euro-Par is an annual series of international conferences dedicated to the promotion and advancement of all aspects of parallel and distributed computing. It covers a wide spectrum of topics from algorithms and theory to software technology and hardware-related issues, with … >>>
As in the past years, ParCFD 2013 will include contributed and invited papers. The conference program will mainly consist of contributed lectures to all scientific/technical areas of the conference. ParCFD2013 topics include, but are not limited to: Complex 3D Flow … >>>
Conference EI20D This conference is intended to bring together world class researchers and practitioners that develop and deploy imaging technologies to enable novel solutions for mobile photography. Submissions are accepted on theory, application, and experience. The scope of the conference … >>>
TOPICS OF INTEREST AT THE CONFERENCE: Some topics are mentioned below but are not restricted to 1. Large-scale problems using GPU and hybrid systems 2. physical, chemical, biological, geological and industrial applications 3. Techniques for optimizing kernels in GPU and other many-core systems (MIC) 4. mixed precision computing 5. … >>>
ParCo2013 continues the tradition of the international conferences on parallel computing started in Berlin, Germany in 1983. This makes it one of the longest running international conferences on parallel computing. Over the years the conference established itself as the foremost … >>>
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Rating
Duality based optical flow algorithms with applications
Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search
Graphics Programming on the Web WebCL Course Notes
A parallel decoding algorithm of LDPC codes using CUDA
Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection
Optimizing MapReduce for GPUs with effective shared memory usage
Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling
CUDA implementation of the algorithm for simulating the epidemic spreading over large networks
Stencil-Aware GPU Optimization of Iterative Solvers
A General-Purpose GPU Reservoir Computer
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.
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