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Swan: A tool for porting CUDA programs to OpenCL

M. J. Harvey, G. De Fabritiis

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Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C1060

January 22, 2011 by hgpu

Interactive visual analysis of contrast-enhanced ultrasound data based on local neighborhood statistics

Paolo Angelelli, Kim Nylund, Odd Helge Gilja, Helwig Hauser

Tags: Medicine, OpenCL, Ultrasound, Visualization

January 16, 2011 by hgpu

An OpenCL framework for heterogeneous multicores with local memory

Jaejin Lee, Jungwon Kim, Sangmin Seo, Seungkyun Kim, Jungho Park, Honggyu Kim, Thanh T. Dao, Yongjin Cho, Sung J. Seo, Seung H. Lee, Seung M. Cho, Hyo J. Song, Sang B. Suh, Jong D. Choi

Tags: Computer science, Memory model, OpenCL

January 16, 2011 by hgpu

Daubechies wavelets for high performance electronic structure calculations: The BigDFT project

Luigi Genovese, Brice Videau, Matthieu Ospici, Thierry Deutsch, Stefan Goedecker, Jean-Francois Mehaut

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Tags: Chemistry, Molecular modeling, OpenCL, Package, Physics

January 16, 2011 by hgpu

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Rick Weber, Akila Gothandaraman, Robert J. Hinde, Gregory D. Peterson

Tags: ATI, Brook, Computer science, CUDA, FPGA, nVidia, OpenCL, Performance

January 10, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

John E. Stone, David Gohara, Guochun Shi

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Tags: ATI, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, Review

December 27, 2010 by hgpu

Programming massively parallel processors : A Hands – on approach

David B Kirk and Wen-Mei W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, OpenCL, Review

December 17, 2010 by hgpu

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Henrik Schulz, Geza Odor, Gergely Odor, Máté Ferenc Nagy

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Tags: ATI, ATI Radeon HD 5970, Computational Physics, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia Quadro FX 5800, OpenCL, Physics, Statistical Mechanics, Tesla C1060

December 3, 2010 by hgpu

Fast calculation of computer-generated-hologram on AMD HD5000 series GPU and OpenCL

Tomoyoshi Shimobaba, Tomoyoshi Ito, Nobuyuki Masuda, Yasuyuki Ichihashi, Naoki Takada

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Tags: ATI, Computational Physics, nVidia, nVidia GeForce GTX 260, OpenCL, Optics, Physics, RV870

November 12, 2010 by hgpu

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Bijia Pang, Ue-li Pen, Michael Perrone

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Cell processor, Computational Physics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, OpenCL, OpenMP, Performance

November 11, 2010 by hgpu

Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell, Amr H. Hassan

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Tags: Astrophysics, ATI, ATI Radeon HD 5970, CUDA, Gravitational lensing, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GT, OpenCL, Tesla C1060

November 10, 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

Swan: A tool for porting CUDA programs to OpenCL

Interactive visual analysis of contrast-enhanced ultrasound data based on local neighborhood statistics

An OpenCL framework for heterogeneous multicores with local memory

Daubechies wavelets for high performance electronic structure calculations: The BigDFT project

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Raising the level of many-core programming with compiler technology: meeting a grand challenge

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

Programming massively parallel processors : A Hands – on approach

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Fast calculation of computer-generated-hologram on AMD HD5000 series GPU and OpenCL

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

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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