high performance computing on graphics processing units: hgpu.org

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Hardware accelerated symmetric condensed node TLM procedure for NVIDIA graphics processing units

Filippo Rossi, Poman P.M. So

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 Ultra, nVidia Quadro FX 5600, nVidia Quadro FX 570 M

June 29, 2011 by hgpu

GPUMP: A Multiple-Precision Integer Library for GPUs

Kaiyong Zhao, Xiaowen Chu

Tags: Computer science, CUDA, Extended precision, nVidia

June 29, 2011 by hgpu

GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints

Roberto Roverso, Amgad Naiem, Mohammed El-Beltagy, Sameh El-Ansary

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Tags: CUDA, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 295, Optimization, Performance

June 29, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

Real-time Geometric Calibration on graphics processing unit with CUDA

Ying Ding, Wen-hui Li, Jing-tao Fan, Hua-min Yang

Tags: Computer science, CUDA, nVidia, Real-time graphics

June 28, 2011 by hgpu

High-performance 3D Compressive Sensing MRI reconstruction

Daehyun Kim, J.D. Trzasko, M. Smelyanskiy, C.R. Haider, A. Manduca, P. Dubey

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 480

June 28, 2011 by hgpu

Petascale turbulence simulation using a highly parallel fast multipole method

Rio Yokota, Tetsu Narumi, L. A. Barba, Kenji Yasuoka

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Tags: Computational Physics, CUDA, Fast multipole method, Fluid dynamics, Numerical Analysis, nVidia, Tesla M2050

June 28, 2011 by hgpu

A High Performance Massively Parallel Approach for Real Time Deformable Body Physics Simulation

Thiago S.M.C de Farias, Mozart W.S. Almeida, Joao Marcelo X.N. Teixeira, Veronica Teichrieb, Judith Kelner

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Tags: Algorithms, Computer science, CUDA, Games, nVidia, nVidia GeForce 8800 GTX, Physics-based simulation, Visualization

June 27, 2011 by hgpu

Looking at the surprise: Bottom-up attentional control of an active camera system

Tingting Xu, Quirin Muhlbauer, Stefan Sosnowski, Kolja Kuhnlenz, Martin Buss

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

June 27, 2011 by hgpu

Real-Time Simulation of Granular Materials Using Graphics Hardware

Ren Yasuda, Takahiro Harada, Yoichiro Kawaguchi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra, Particle simulation, Real-time graphics

June 27, 2011 by hgpu

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

Thuy T. Nguyen, Duc H. Nguyen, Phong H. Pham, Ngoc M. Ta, Tan N. Duong, Hung D. Le

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Tags: Bioinformatics, Biology, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 295, Sequence alignment, Smith-Waterman algorithm, Tesla C1060

June 27, 2011 by hgpu

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

K. Tsiakmakis, T. Laopoulos

Tags: CUDA, Image processing, Materials Science, Measurement techniques, nVidia, Physics

June 26, 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

Hardware accelerated symmetric condensed node TLM procedure for NVIDIA graphics processing units

GPUMP: A Multiple-Precision Integer Library for GPUs

GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints

QCD simulations with staggered fermions on GPUs

Real-time Geometric Calibration on graphics processing unit with CUDA

High-performance 3D Compressive Sensing MRI reconstruction

Petascale turbulence simulation using a highly parallel fast multipole method

A High Performance Massively Parallel Approach for Real Time Deformable Body Physics Simulation

Looking at the surprise: Bottom-up attentional control of an active camera system

Real-Time Simulation of Granular Materials Using Graphics Hardware

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

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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