high performance computing on graphics processing units: hgpu.org

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Frequent itemset mining on graphics processors

Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 280

December 21, 2010 by hgpu

Demystifying GPU microarchitecture through microbenchmarking

Henry Wong, Misel-Myrto Papadopoulou, Maryam Sadooghi-Alvandi, Andreas Moshovos

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Tags: Architecture, Computer science, nVidia, nVidia GeForce GTX 280, Performance

December 21, 2010 by hgpu

Dust-Dust Collisional Charging and Lightning in Protoplanetary Discs

Takayuki Muranushi

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, nVidia, nVidia GeForce GTX 280, Physics, Solar and Stellar Astrophysics

December 21, 2010 by hgpu

Speed Records for NTRU

Jens Hermans, Frederik Vercauteren, Bart Preneel

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Security

December 19, 2010 by hgpu

Long time-scale simulations of in vivo diffusion using GPU hardware

Elijah Roberts, John E. Stone, Leonardo Sepulveda, Wen-Mei W. Hwu, Zaida Luthey-Schulten

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Tags: Bioinformatics, Biology, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600

December 18, 2010 by hgpu

GPU-based Island Model for Evolutionary Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talb

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Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 280, Optimization

December 18, 2010 by hgpu

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

Aditi Rathi, Michael DeBole, Weina Ge, Robert T. Collins, N. Vijaykrishnan

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 18, 2010 by hgpu

GPU Accelerated RNA Folding Algorithm

Guillaume Rizk, Dominique Lavenier

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Tesla C870

December 17, 2010 by hgpu

GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package, Presentation, Programming techniques

December 17, 2010 by hgpu

GPU-accelerated differential evolutionary Markov Chain Monte Carlo method for multi-objective optimization over continuous space

Weihang Zhu, Yaohang Li

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Tags: Mathematics, nVidia, nVidia GeForce GTX 280, Optimization

December 17, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

GPU-Assisted High Quality Particle Rendering

Deukhyun Cha, Sungjin Son, Insung Ihm

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Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Presentation

December 14, 2010 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

Frequent itemset mining on graphics processors

Demystifying GPU microarchitecture through microbenchmarking

Dust-Dust Collisional Charging and Lightning in Protoplanetary Discs

Speed Records for NTRU

Long time-scale simulations of in vivo diffusion using GPU hardware

GPU-based Island Model for Evolutionary Algorithms

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

GPU Accelerated RNA Folding Algorithm

GPU Parallelization of Algebraic Dynamic Programming

GPU-accelerated differential evolutionary Markov Chain Monte Carlo method for multi-objective optimization over continuous space

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

GPU-Assisted High Quality Particle Rendering

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)