high performance computing on graphics processing units: hgpu.org

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CUDA-level performance with python-level productivity for Gaussian mixture model applications

H. Cook, E. Gonina, S. Kamil, G. Friedland, D. Patterson, A. Fox

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Tags: Algorithms, Code generation, Computer science, CUDA, nVidia, OpenCL, Python

September 7, 2011 by hgpu

GPU-based asynchronous particle swarm optimization

Luca Mussi, Youssef S.G. Nashed, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization, Performance

September 7, 2011 by hgpu

FPGA vs. multi-core CPUs vs. GPUs: hands-on experience with a sorting application

Cristian Grozea, Zorana Bankovic, Pavel Laskov

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia Quadro FX 5600, OpenMP, Sorting

September 7, 2011 by hgpu

Parallel packet classification using GPU co-processors

Alastair Nottingham, Barry Irwin

Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, Security

September 7, 2011 by hgpu

Parallel implementation of conjugate gradient method on graphics processors

Marcin Wozniak, Tomasz Olas, Roman Wyrzykowski

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Sparse matrix, Tesla C1060

September 7, 2011 by hgpu

CUDA-based GPU Implementation of Hierarchical Belief Propagation for Fast Stereo Matching

Jae-Il Jung, Yo-Sung Ho

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

September 6, 2011 by hgpu

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Shenshen Liang, Ying Liu, Cheng Wang, Liheng Jian

Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization

September 5, 2011 by hgpu

Fault table generation using Graphics Processing Units

K. Gulati, S.P. Khatri

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Tags: Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 280

September 5, 2011 by hgpu

A CUDA Based Implementation of an Image Authentication Algorithm

Caiwei Lin, Lei Zhao, Jiwen Yang

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C1060

September 5, 2011 by hgpu

A near real-time framework for extracting tip-sample forces in dynamic atomic force microscopy (dAFM)

David Busch, Qingze Zou, Baskar Ganapathysubramanian

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Tags: Condensed matter, CUDA, Materials Science, nVidia, nVidia Quadro FX 5800, Physics

September 5, 2011 by hgpu

Computing room acoustics with CUDA – 3D FDTD schemes with boundary losses and viscosity

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, CUDA, FDTD, Finite difference, Finite-difference time-domain, Numerical simulation, nVidia, Physics, Tesla C1060, Tesla C2050

September 4, 2011 by hgpu

Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Ju Ren, Yi He, Huayou Su, Mei Wen, Nan Wu, Chunyuan Zhang

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Tags: CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTX, Video encoding

September 4, 2011 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

CUDA-level performance with python-level productivity for Gaussian mixture model applications

GPU-based asynchronous particle swarm optimization

FPGA vs. multi-core CPUs vs. GPUs: hands-on experience with a sorting application

Parallel packet classification using GPU co-processors

Parallel implementation of conjugate gradient method on graphics processors

CUDA-based GPU Implementation of Hierarchical Belief Propagation for Fast Stereo Matching

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Fault table generation using Graphics Processing Units

A CUDA Based Implementation of an Image Authentication Algorithm

A near real-time framework for extracting tip-sample forces in dynamic atomic force microscopy (dAFM)

Computing room acoustics with CUDA – 3D FDTD schemes with boundary losses and viscosity

Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Recent source codes

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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