hgpu.org » Mathematical Physics

Carlo Lancia, Benedetto Scoppola

July 14, 2013 by hgpu

Nikesh S. Dattani

Tags: Chemical Physics, Computational Physics, Mathematical Physics, nVidia, Physics, Quantum Physics, Tesla C2070

June 1, 2012 by hgpu

Marius Buibas, Gabriel A. Silva

Tags: Biological Physics, Condensed matter, CUDA, Disordered Systems and Neural Networks, Mathematical Physics, Neurons and Cognition, nVidia, Package, Physics, Tesla C1060

November 9, 2010 by hgpu

## Recent source codes

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## Most viewed papers (last 30 days)

- Deep Learning in the Automotive Industry: Applications and Tools
- A Training Framework and Architectural Design for Distributed Deep Learning
- OpenCL JIT Compilation for Dynamic Programming Languages
- Acceleration of Deep Learning on FPGA
- Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems
- Automatic source code adaptation for heterogeneous platforms
- Fast Sorting Algorithms using AVX-512 on Intel Knights Landing
- Developing a massive real-time crowd simulation framework on the GPU
- Lattice Quantum Chromodynamics on Intel Xeon Phi based supercomputers
- Towards Enhancing Performance, Programmability, and Portability in Heterogeneous Computing

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## Rating

A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs

cf4ocl: a C framework for OpenCL

gpuSPHASE - A shared memory caching implementation for 2D SPH using CUDA

CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data

Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

Towards Enhancing Performance, Programmability, and Portability in Heterogeneous Computing

Acceleration of Deep Learning on FPGA

CLBlast: A Tuned OpenCL BLAS Library

Embedded real-time stereo estimation via Semi-Global Matching on the GPU

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