high performance computing on graphics processing units: hgpu.org

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Monte Carlo Radiative Transport on the GPU

Balazs Toth, Milan Magdics

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Tags: CUDA, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9600, Physics, Radiotherapy

June 4, 2011 by hgpu

High Performance Stereo Vision Designed for Massively Data Parallel Platforms

Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Hoe

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Real-time graphics, Stereo vision

June 3, 2011 by hgpu

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures

Peng Du, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Performance

June 3, 2011 by hgpu

Toward efficient GPU-accelerated N-body simulations

Mark J. Stock, Adrin Gharakhani

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GTX

June 3, 2011 by hgpu

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

Anthony Lee, Francois Caron, Arnaud Doucet, Chris Holmes

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce 8800 GT, Statistics

June 3, 2011 by hgpu

CUDA-based Signed Distance Field Calculation for Adaptive Grids

Taejung Park, Sung-Ho Lee, Jong-Hyun Kim, Chang-Hun Kim

Tags: Algorithms, Computer science, CUDA, nVidia, Triangular meshes

June 2, 2011 by hgpu

Sparse matrix computations on manycore GPU’s

Michael Garland

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems, Programming techniques, Sparse matrix

June 2, 2011 by hgpu

Massively Parallel Finite Element Simulator for Full-Chip STI Stress Analysis

Jiying Xue, Xiaomeng Jiao, Yangdong Deng, Hao Qian, Dajie Zeng, Guoyu Li, Zhiping Yu

Tags: CUDA, Electronic design automation, FEM, Finite element method, nVidia

June 2, 2011 by hgpu

Accelerating All-Atom Normal Mode Analysis with Graphics Processing Unit

Li Liu, Xiaofeng Liu, Jiayu Gong, Hualiang Jiang, Honglin Li

Tags: Biology, Chemistry, CUDA, Macromolecule, Molecular dynamics, nVidia, Pharmaceuticals

June 2, 2011 by hgpu

MapCG: writing parallel program portable between CPU and GPU

Chuntao Hong, Dehao Chen, Wenguang Chen, Weimin Zheng, Haibo Lin

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Tags: Computer science, CUDA, High-level Languages, MapReduce, nVidia, nVidia GeForce GTX 280, Programming techniques

June 2, 2011 by hgpu

Swarm’s flight: Accelerating the particles using C-CUDA

Lucas de P. Veronese, Renato A. Krohling

Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, Optimization

June 2, 2011 by hgpu

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 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

Monte Carlo Radiative Transport on the GPU

High Performance Stereo Vision Designed for Massively Data Parallel Platforms

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures

Toward efficient GPU-accelerated N-body simulations

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

CUDA-based Signed Distance Field Calculation for Adaptive Grids

Sparse matrix computations on manycore GPU’s

Massively Parallel Finite Element Simulator for Full-Chip STI Stress Analysis

Accelerating All-Atom Normal Mode Analysis with Graphics Processing Unit

MapCG: writing parallel program portable between CPU and GPU

Swarm’s flight: Accelerating the particles using C-CUDA

Spherical harmonic transform on heterogeneous architectures using hybrid programming

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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