high performance computing on graphics processing units: hgpu.org

Programming

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Implementation of Spectral Angle Mapper (SAM) Algorithm on a Graphic processing unit (GPU)

Balaji Vengatesh M.

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560

November 10, 2013 by hgpu

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

R. F. Bird, S. J. Pennycook, S. A. Wright, S. A. Jarvis

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Tags: Algorithms, Computer science, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060, Tesla C2050, Tesla K20

November 10, 2013 by hgpu

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Dongjin Kim, Kyu-Ho Park

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix decomposition, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

November 8, 2013 by hgpu

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Thomas M. Benson, Ryan K. Hersey, Edwin Culpepper

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia Quadro 3000 M, Tesla K20, Tesla M2090

November 8, 2013 by hgpu

Moving Least-Squares Reconstruction of Large Models with GPUs

Bruce Merry, James Gain, Patrick Marais

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2070

November 8, 2013 by hgpu

Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising

Xavier Gibert Serra, Vishal M. Patel, Demetrio Labate, Rama Chellappa

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Source codes

Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, Package

November 8, 2013 by hgpu

Computer Graphics: From Pixels to Programmable Graphics Hardware

Alexey Boreskov, Evgeniy Shikin

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Tags: 3D Graphics and Realism, Algorithms, Book, Computer science, CUDA, Games, nVidia, OpenCL, OpenGL, Overview, Real-time graphics, Rendering, Tessellation, Tutorial

November 6, 2013 by hgpu

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Yu-Hang Tang, George Em Karniadakis

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Tags: Algorithms, Computational Physics, Computer science, CUDA, MPI, nVidia, Tesla K20

November 6, 2013 by hgpu

A Computational Comparison of Basis Updating Schemes for the Simplex Algorithm on a CPU-GPU System

Nikolaos Ploskas, Nikolaos Samaras

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 6000

November 3, 2013 by hgpu

Fast 3D Salient Region Detection in Medical Images using GPUs

Rahul Thota, Sharan Vaswani, Amit Kale, Nagavijayalakshmi Vydyanathan

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla C2050

November 3, 2013 by hgpu

Accelerating Inclusion-based Pointer Analysis on Heterogeneous CPU-GPU Systems

Yu Su, Ding Ye, Jingling Xue

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Rendering, Tesla K20

November 3, 2013 by hgpu

Computer Tomography and Ultrasonography Image Registration Based on the Cooperation of GPU and CPU

Ying-Chih Lin, Chien-Liang Huang, Chin-Sheng Chen, Wen-Chung Chang, Yu-Jen Chen, Chia-Yuan Liu

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Tags: Algorithms, CUDA, Filtering, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 470, Tomography

November 2, 2013 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

Programming

Implementation of Spectral Angle Mapper (SAM) Algorithm on a Graphic processing unit (GPU)

Towards a Portable and Future-proof Particle-in-Cell Plasma Physics Code

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Moving Least-Squares Reconstruction of Large Models with GPUs

Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising

Computer Graphics: From Pixels to Programmable Graphics Hardware

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

A Computational Comparison of Basis Updating Schemes for the Simplex Algorithm on a CPU-GPU System

Fast 3D Salient Region Detection in Medical Images using GPUs

Accelerating Inclusion-based Pointer Analysis on Heterogeneous CPU-GPU Systems

Computer Tomography and Ultrasonography Image Registration Based on the Cooperation of GPU and CPU

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)