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Static Compilation Analysis for Host-Accelerator Communication Optimization

Mehdi Amini, Fabien Coelho, Francois Irigoin, Ronan Keryell

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Tags: Benchmarking, Computer science, CUDA, Numerical simulation, nVidia, OpenMP, Optimization, Package, Tesla C2050

October 11, 2011 by hgpu

Computitional intensive Tasks in Multimedia Signal Processing

Yan Liu

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Tags: Algorithms, Compression, CUDA, FFT, nVidia, Overview, Signal processing

October 10, 2011 by hgpu

Anti-parallel Patterns in Fine-grain Data-parallel Programs

Jan Cornelis

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Tags: Benchmarking, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 280, Performance, Thesis

October 10, 2011 by hgpu

GPUs, a New Tool of Acceleration in CFD: Efficiency and Reliability on Smoothed Particle Hydrodynamics Methods

Alejandro C. Crespo, Jose M. Dominguez, Anxo Barreiro, Moncho Gomez-Gesteira, Benedict D. Rogers

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla M1060, Visualization

October 10, 2011 by hgpu

Computer Vision Models in Surveillance Robotics

A. Moro

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia GeForce 9800 GT, nVidia GeForce GTX 295, Thesis

October 9, 2011 by hgpu

Real time ultrasound image denoising

F. P. X. de Fontes, G. A. Barroso, P. Coupé, P. Hellier

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Tags: CUDA, Filtering, Image processing, Medicine, nVidia GeForce GTX 280, Ultrasound

October 9, 2011 by hgpu

Parallel and efficient Boolean on polygonal solids

H. Zhao, C. C. L. Wang, Y. Chen, X. Jin

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Tags: Computer science, CUDA, Image processing, nVidia GeForce GTX 480

October 9, 2011 by hgpu

Molecular dynamics simulation of UO2 nanocrystals melting

A.S. Boyarchenkov, S.I. Potashnikov, K.A. Nekrasov, A.Ya. Kupryazhkin

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Tags: CUDA, Molecular dynamics, Physics

October 9, 2011 by hgpu

Acceleration of computation speed for elastic wave simulation using a Graphic Processing Unit

N. Nakata, T. Tsuji, T. Matsuoka

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Tags: CUDA, FDTD, Finite-difference time-domain, Geoscience, Seismic modeling, Tesla

October 9, 2011 by hgpu

Analysis of 3-dimensional electromagnetic fields in dispersive media using cuda

M. R. Zunoubi, J. Payne

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Tags: CUDA, Electromagnetics simulation, FDTD, Finite-difference time-domain, nVidia GeForce 9800 GT

October 8, 2011 by hgpu

Efficient reconfigurable design for pricing asian options

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computational finance, CUDA, Finance, FPGA, Tesla

October 8, 2011 by hgpu

Multifrontal computations on GPUs and their multi-core hosts

Robert F. Lucas, Gene Wagenbreth, Dan M. Davis, Roger Grimes

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Tags: Computer science, CUDA, Factorization, nVidia, Performance, Sparse matrix, Tesla C1060

October 7, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Static Compilation Analysis for Host-Accelerator Communication Optimization

Computitional intensive Tasks in Multimedia Signal Processing

Anti-parallel Patterns in Fine-grain Data-parallel Programs

GPUs, a New Tool of Acceleration in CFD: Efficiency and Reliability on Smoothed Particle Hydrodynamics Methods

Computer Vision Models in Surveillance Robotics

Real time ultrasound image denoising

Parallel and efficient Boolean on polygonal solids

Molecular dynamics simulation of UO2 nanocrystals melting

Acceleration of computation speed for elastic wave simulation using a Graphic Processing Unit

Analysis of 3-dimensional electromagnetic fields in dispersive media using cuda

Efficient reconfigurable design for pricing asian options

Multifrontal computations on GPUs and their multi-core hosts

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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