high performance computing on graphics processing units: hgpu.org

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Effectiveness of GPGPU for Solving the Magnetohydrodynamics Equations Using the CIP-MOCCT Method

Ryosuke Ueda, Yutaka Matsumoto, Masafumi Itagaki, Shun-ichi Oikawa

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Tags: CUDA, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics

December 5, 2011 by hgpu

Communication-avoiding QR decomposition for GPUs

Michael Anderson, Grey Ballard, James Demmel, Kurt Keutzer

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Tags: Algorithms, Computer science, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 480, Tesla C2050

December 4, 2011 by hgpu

Computing Strongly Connected Components in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

December 4, 2011 by hgpu

Solving Rigid Multibody Physics Dynamics Using Proximal Point Functions on the GPU

Jeremy James Betz

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Tags: CUDA, nVidia, nVidia GeForce GTX 480, Physics, Thesis

December 4, 2011 by hgpu

Programming hybrid systems with implicit memory based synchronization

Jens Breitbart

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Tags: Algorithms, Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 480, Package, Tesla C2050

December 3, 2011 by hgpu

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Duhu Man, Kenji Uda, Hironobu Ueyama, Yasuaki Ito, Koji Nakano

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Tags: Algorithms, CUDA, Image processing, Memory model, nVidia, nVidia GeForce GTX 480, Tesla C1060

December 3, 2011 by hgpu

Ultrasound Image Simulation with GPU-based Ray Tracing

Yuen C. Law, Sebastian Ullrich, Thomas Knott, Torsten Kuhlen

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Tags: Medicine, nVidia, nVidia GeForce GTX 480, Physics, Raytracing, Rendering, Ultrasound, Visualization

December 3, 2011 by hgpu

GPU Acceleration of Solving Parabolic Partial Differential Equations Using Difference Equations

David L. Foster

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Optimization, Partial differential equations, PDEs, Tesla C1060

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

Using CUDA for Exhaustive Password Recovery

Tore Kasper Frederiksen

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

November 30, 2011 by hgpu

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Wenbin Li, Sven Simon, Steffen Kiess

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Tags: Algorithms, Computer science, CUDA, Floating point error, Hybrid computing, nVidia, nVidia GeForce GTX 480

November 28, 2011 by hgpu

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

N. Melab, T-V. Luong, K. Boufaras, E-G. Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 480, Package

November 27, 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

Effectiveness of GPGPU for Solving the Magnetohydrodynamics Equations Using the CIP-MOCCT Method

Communication-avoiding QR decomposition for GPUs

Computing Strongly Connected Components in Parallel on CUDA

Solving Rigid Multibody Physics Dynamics Using Proximal Point Functions on the GPU

Programming hybrid systems with implicit memory based synchronization

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Ultrasound Image Simulation with GPU-based Ray Tracing

GPU Acceleration of Solving Parabolic Partial Differential Equations Using Difference Equations

Numerical investigations on nonlinear nonparaxial beam propagation using graphics processing units

Using CUDA for Exhaustive Password Recovery

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

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)