high performance computing on graphics processing units: hgpu.org

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Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

Qianqian Fang, David A. Boas

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 17, 2010 by hgpu

GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package, Presentation, Programming techniques

December 17, 2010 by hgpu

GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues

Nunu Ren, Jimin Liang, Xiaochao Qu, Jianfeng Li, Bingjia Lu, Jie Tian

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Optics, Package, Physics

December 17, 2010 by hgpu

OpenMM: A Hardware-Independent Framework for Molecular Simulations

Peter Eastman, Vijay Pande

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Tags: Chemistry, Computational chemistry, Molecular modeling, Package

December 16, 2010 by hgpu

Genetic programming on graphics processing units

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package

December 15, 2010 by hgpu

gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

C. Lauterbach, Q. Mo, D. Manocha

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package

December 14, 2010 by hgpu

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Jean-Charles Quinton

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Tags: ATI, ATI Mobility Radeon 9700, Computer science, Computer vision, Image processing, OpenGL, Package

December 13, 2010 by hgpu

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 by hgpu

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Nicholas A. Davis, Ahwan Pandey, B. A. McKinney

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Tags: Bioinformatics, Biology, CUDA, Genetics, Medicine, nVidia, Package, Tesla M1060

December 13, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

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Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh

Shi Chen, Huai Zhang, David Yuen, Shuxia Zhang, Jian Zhang, Yaolin Shi

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Tags: Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 7800 GTX, OpenGL, Package, Visualization

December 12, 2010 by hgpu

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 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

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high performance computing on graphics processing units: hgpu.org

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

GPU Parallelization of Algebraic Dynamic Programming

GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues

OpenMM: A Hardware-Independent Framework for Molecular Simulations

Genetic programming on graphics processing units

gProximity: Hierarchical GPU-based Operations for Collision and Distance Queries

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

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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