hgpu.org » High Energy Physics - Theory

Dan Mazur, Jeremy S. Heyl

Tags: CUDA, High Energy Physics - Theory, nVidia, Physics, Tesla C1060

July 29, 2014 by hgpu

F. Yuasa, T. Ishikawa, N. Hamaguchi, T. Koike, N. Nakasato

August 17, 2013 by hgpu

Markus Hopfer, Reinhard Alkofer, Gundolf Haase

Tags: Computational Physics, CUDA, High Energy Physics - Phenomenology, High Energy Physics - Theory, Integral equations, nVidia, nVidia GeForce GTX 560 Ti, OpenMPI, Physics, QCD, Tesla C2070

June 11, 2012 by hgpu

Jochen Gerhard, Volker Lindenstruth, Marcus Bleicher

Tags: Algorithms, ATI, ATI Radeon HD 5870, Cluster computing, High Energy Physics - Phenomenology, High Energy Physics - Theory, Molecular dynamics, OpenCL, Performance, Physics, QCD

June 6, 2012 by hgpu

Andreas Windisch, Reinhard Alkofer, Gundolf Haase, Manfred Liebmann

Tags: Algorithms, Computational Physics, CUDA, Fortran, High Energy Physics - Phenomenology, High Energy Physics - Theory, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla C2070

May 4, 2012 by hgpu

## Recent source codes

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## Most viewed papers (last 30 days)

- Implementing Efficient, Portable Computations for Machine Learning
- MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU
- Intel Xeon Phi acceleration of Hybrid Total FETI solver
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- Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis
- UT-OCL: An OpenCL Framework for Embedded Systems Using Xilinx FPGAs
- Parallel and in-process compilation of individuals for genetic programming on GPU
- Accelerating Discrete Wavelet Transforms on GPUs
- Speedup and Parallelization Models for Energy-Efficient Many-Core Systems Using Performance Counters
- Program Acceleration in a Heterogeneous Computing Environment Using OpenCL, FPGA, and CPU

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## Rating

A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs

cf4ocl: a C framework for OpenCL

UT-OCL: An OpenCL Framework for Embedded Systems Using Xilinx FPGAs

Speedup and Parallelization Models for Energy-Efficient Many-Core Systems Using Performance Counters

Efficient OpenCL-based concurrent tasks offloading on accelerators

Non-Hydrostatic Pressure Shallow Flows: GPU Implementation Using Finite-Volume and Finite-Difference Scheme

Parallel Computing of Particle Trajectory Sonification to Enable Real-Time Interactivity

Parallel Monte Carlo on Intel MIC Architecture

Low-complexity Distributed Tomographic Backprojection for large datasets

A Training Framework and Architectural Design for Distributed Deep Learning

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