high performance computing on graphics processing units: hgpu.org

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LoGV: Low-overhead GPGPU Virtualization

Mathias Gottschlag, Marius Hillenbrand, Jens Kehne, Jan Stoess, Frank Bellosa

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Virtualization

November 23, 2013 by hgpu

An improved parallel contrast-aware halftoning

Ling-yue Liu, Wei Chen, Tien-tsin Wong, Wen-ting Zheng, Wei-dong Geng

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 480

November 22, 2013 by hgpu

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Yong-Chull Jang, Jon A. Bailey, Weonjong Lee, Carleton DeTar, Mehmet B. Oktay, Andreas S. Kronfeld

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Tags: CUDA, High Energy Physics - Lattice, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Physics

November 22, 2013 by hgpu

An implicit multigrid solver for high-order compressible flow simulations on GPUs

V. Esfahanian, M. Hedayat, B. Baghapour, M. Torabzadeh, S.J. Hosseini

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480

November 19, 2013 by hgpu

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael Evans, Satish Puri

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GTX 480, OpenGL

November 17, 2013 by hgpu

Fast Diameter Computation of Large Sparse Graphs using GPUs

Giso H. Dal, Walter A. Kosters, Frank W. Takes

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

November 17, 2013 by hgpu

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Shuo Chen

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2070, Tesla C2075, Thesis

November 12, 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

Computational kinetics of a large scale biological process on GPU workstations: DNA bending

Arnold Peter Ruymgaart

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Tags: Biology, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Thesis

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

A Game Architecture Based on Multiple GPUs With Energy Management

Marcelo Zamith, Luis Valente, Mark Joselli, Jose Silva Junior, Esteban Clua, Bruno Feijo

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Tags: Computer science, Energy-efficient computing, Games, nVidia, nVidia GeForce GTX 480, Tesla K20

November 8, 2013 by hgpu

Molecular Simulations using CUDA

Gerhard Burger

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Tags: CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2075, Thesis

October 29, 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

An improved parallel contrast-aware halftoning

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

An implicit multigrid solver for high-order compressible flow simulations on GPUs

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Fast Diameter Computation of Large Sparse Graphs using GPUs

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Moving Least-Squares Reconstruction of Large Models with GPUs

Computational kinetics of a large scale biological process on GPU workstations: DNA bending

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

A Game Architecture Based on Multiple GPUs With Energy Management

Molecular Simulations using CUDA

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)