high performance computing on graphics processing units: hgpu.org

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Evaluation iterative solver for pCDR on GPU accelerator

Chih-Wei Hsieh, Sheng-Hsiu Kuo, Chau-Yi Chou

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Tags: CUDA, Fluid dynamics, nVidia, Poisson equation, Tesla C1060

December 1, 2011 by hgpu

GPU Computing for Particle Tracking

Hiroshi Nishimura, Kai Song, Krishna Muriki, Changchun Sun, Susan James, Yong Qin

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla C2050

December 1, 2011 by hgpu

Optimal similarity registration of volumetric images

E. Kokiopoulou, D. Kressner, M. Zervos, N. Paragios

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, Tesla C1060

December 1, 2011 by hgpu

Image and Video Processing on CUDA: State of the Art and Future Directions

Roberto Di Salvo, Carmelo Pino

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Tags: CUDA, Image processing, nVidia

December 1, 2011 by hgpu

Numerical investigations on nonlinear nonparaxial beam propagation using graphics processing units

Pedro Chamorro-Posada, Julio Sanchez-Curto, Graham S. McDonald

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Tags: CUDA, nVidia, nVidia GeForce GTX 480, OpenMPI, Optics, Physics, Tesla C1060

December 1, 2011 by hgpu

Support Operator Rupture Dynamics on GPU

Shenyi Song, Yichen Zhou, Tingxing Dong, David A. Yuen

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Tags: CUDA, Earth and Space Sciences, nVidia, Seismology, Tesla C1060

November 30, 2011 by hgpu

Using CUDA for Exhaustive Password Recovery

Tore Kasper Frederiksen

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 480, Package, Security

November 30, 2011 by hgpu

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Hao Wu, Junbo Xu, Shengfei Zhang, Hao Wen

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Tags: Algorithms, Benchmarking, Chemistry, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Optimization

November 30, 2011 by hgpu

Acceleration of computational quantum chemistry by heterogeneous computer architectures

Yuki Furukawa, Ryota Koga, Koji Yasuda

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 580

November 30, 2011 by hgpu

Optimization of the Particle-based Volume Rendering for GPUs with Hiding Data Transfer Latency

Kyoko Nakao, Erika Matsui, Naoko Yoshii, Masami Takata, Kazuki Joe

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Optimization, Rendering, Tesla C1060

November 30, 2011 by hgpu

Performance and numerical accuracy evaluation of heterogeneous multicore systems for Krylov orthogonal basis computation

Jerome Dubois, Christophe Calvin, Serge Petiton

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Tags: Cell processor, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla C1060

November 30, 2011 by hgpu

GPGPU Accelerated Cardiac Arrhythmia Simulations

Wei Wang, H. Howie Huang, Matthew Kay, John Cavazos

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Tags: CUDA, Heart, Medicine, nVidia, Tesla C1060, Tesla C2050

November 30, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Evaluation iterative solver for pCDR on GPU accelerator

GPU Computing for Particle Tracking

Optimal similarity registration of volumetric images

Image and Video Processing on CUDA: State of the Art and Future Directions

Numerical investigations on nonlinear nonparaxial beam propagation using graphics processing units

Support Operator Rupture Dynamics on GPU

Using CUDA for Exhaustive Password Recovery

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Acceleration of computational quantum chemistry by heterogeneous computer architectures

Optimization of the Particle-based Volume Rendering for GPUs with Hiding Data Transfer Latency

Performance and numerical accuracy evaluation of heterogeneous multicore systems for Krylov orthogonal basis computation

GPGPU Accelerated Cardiac Arrhythmia Simulations

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

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