high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Fast CGH computation using S-LUT on GPU

Yuechao Pan, Xuewu Xu, Sanjeev Solanki, Xinan Liang, Ridwan B. Tanjung, Chiwei Tan, Tow-Chong Chong

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Tags: Algorithms, Computer holography, Physics

October 28, 2010 by hgpu

Fast and scalable list ranking on the GPU

M. Suhail Rehman, Kishore Kothapalli, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, List ranking, nVidia, nVidia GeForce GTX 280

October 27, 2010 by hgpu

Cache and bandwidth aware matrix multiplication on the GPU

J. Hall, N. Carr, J. Hart

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Tags: Algorithms, Computer science, Linear Algebra, Performance

October 27, 2010 by hgpu

Scan primitives for GPU computing

Shubhabrata Sengupta, Mark Harris, Yao Zhang, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques, Sorting

October 27, 2010 by hgpu

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Package, Sorting

October 27, 2010 by hgpu

GPU implementation of JPEG XR

Ming C. Che, Jie Liang

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia

October 27, 2010 by hgpu

Understanding the efficiency of GPU algorithms for matrix-matrix multiplication

K. Fatahalian,J. Sugerman,P. Hanrahan

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Tags: Algorithms, ATI, ATI Radeon 9800 XT, Computer science, Linear Algebra, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900 Ultra

October 27, 2010 by hgpu

GPU Based Acceleration of Telegraph Equation

Vaclav Simek, Michal Kraus, Kunovsky Jiri, Jiri Petrek

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Tags: Algorithms, Computer science, CUDA, nVidia

October 27, 2010 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

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high performance computing on graphics processing units: hgpu.org

Fast CGH computation using S-LUT on GPU

Cache and bandwidth aware matrix multiplication on the GPU

Scan primitives for GPU computing

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

GPU implementation of JPEG XR

Understanding the efficiency of GPU algorithms for matrix-matrix multiplication

GPU Based Acceleration of Telegraph Equation

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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