high performance computing on graphics processing units: hgpu.org

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General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Porting of an Edge-Based CFD Solver to GPUs

Andrew Corrigan, Fernando Camelli, Rainald Lohner, Fernando Mut

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Tags: CUDA, Finite element method, Fluid dynamics, nVidia, OpenMP

March 8, 2011 by hgpu

Accelerating H.264 inter prediction in a GPU by using CUDA

Rodriguez, R. Martinez, J.L. Fernandez-Escribano, G. Claver, J.M. Sanchez, J.L.

Tags: CUDA, H.264/AVC, Image processing, nVidia, Video decoding

March 8, 2011 by hgpu

Offloading Region Matching of Data Distribution Management with CUDA

Shih Hsiang Lo, Yeh Ching Chung, Fang Ping Pai

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Tags: Computer science, CUDA, Distributed data structures, nVidia, nVidia GeForce 9600 GT

March 8, 2011 by hgpu

Preliminary implementation of VQ image coding using GPGPU

A. Wakatani

Tags: Algorithms, CUDA, Image processing, Nearest neighbour, nVidia

March 8, 2011 by hgpu

Frame-based parallelization of MPEG-4 on compute unified device architecture (CUDA)

Dishant Ailawadi, Milan Kumar Mohapatra, Ankush Mittal

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Tags: CUDA, Image processing, nVidia, nVidia Quadro FX 370, Video decoding

March 8, 2011 by hgpu

IP routing processing with graphic processors

Shuai Mu, Xinya Zhang, Nairen Zhang, Jiaxin Lu, Yangdong Steve Deng, Shu Zhang

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Tags: Bloom filter, Computer science, CUDA, Network communications, Networks, nVidia, nVidia GeForce GTX 280, Software router

March 7, 2011 by hgpu

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

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Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 2011 by hgpu

Non-blocking programming on multi-core graphics processors: (extended asbtract)

Phuong Hoai Ha, Philippas Tsigas, Otto J. Anshus

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques

March 7, 2011 by hgpu

CUDA-based AES parallelization with fine-tuned GPU memory utilization

Chonglei Mei, Hai Jiang, Jeff Jenness

Tags: Computer science, CUDA, nVidia, Security

March 7, 2011 by hgpu

Designing scalable many-core parallel algorithms for min graphs using CUDA

Quoc-Nam Tran

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia

March 7, 2011 by hgpu

A tile-based parallel Viterbi algorithm for biological sequence alignment on GPU with CUDA

Zhihui Du, Zhaoming Yin, David A. Bader

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 9800 GTX, Sequence alignment

March 7, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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high performance computing on graphics processing units: hgpu.org

General-purpose molecular dynamics simulations on GPU-based clusters

Porting of an Edge-Based CFD Solver to GPUs

Accelerating H.264 inter prediction in a GPU by using CUDA

Offloading Region Matching of Data Distribution Management with CUDA

Preliminary implementation of VQ image coding using GPGPU

Frame-based parallelization of MPEG-4 on compute unified device architecture (CUDA)

IP routing processing with graphic processors

Application-guided tool development for architecturally diverse computation

Non-blocking programming on multi-core graphics processors: (extended asbtract)

CUDA-based AES parallelization with fine-tuned GPU memory utilization

Designing scalable many-core parallel algorithms for min graphs using CUDA

A tile-based parallel Viterbi algorithm for biological sequence alignment on GPU with CUDA

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)