high performance computing on graphics processing units: hgpu.org

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Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases

Piotr Przymus

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Tags: Algorithms, Compression, Computer science, CUDA, Data mining, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, Tesla C2070, Tesla M2070, Thesis

October 24, 2014 by hgpu

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You

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Tags: Compression, Computer science, CUDA, Databases, nVidia, Tesla C2050

September 30, 2014 by hgpu

CUDA Accelerated Entropy Constrained Vector Quantization and Multiple K-Means

John Ashley, Amy J. Braverman

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Tags: Compression, Computer science, CUDA, nVidia, Tesla K40, Vector quantization, Visualization

August 1, 2014 by hgpu

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Bryan Ching

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX Titan, Tesla K40, Thesis

July 29, 2014 by hgpu

Compressed sensing using hidden Markov models with application to vision based aircraft tracking

Jason J. Ford, Timothy L. Molloy, Joanne L. Hall

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Tags: Compression, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 590, Sensing

July 22, 2014 by hgpu

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Aditya Deshpande

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Tags: Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Sorting, Sparse matrix, Tesla K20, Thesis

July 11, 2014 by hgpu

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

Jingqi Ao

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Thesis, Wavelet

July 7, 2014 by hgpu

Acceleration of GPU-based ultrasound simulation via data compression

Andrew A. Haigh, Eric C. McCreath

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Tags: Acoustics, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Ultrasound

June 20, 2014 by hgpu

A Fast Mixed-Band Lifting Wavelet Transform on the GPU

Tran Minh Quan, Won-Ki Jeong

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Tags: Compression, CUDA, Discrete Wavelet Transform, Image processing, JPEG2000, MRI, nVidia, Sensing, Tesla M2090

June 20, 2014 by hgpu

Image Denoising Using Wavelet Transform and CUDA

Hovhannes M. Bantikyan

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Tags: Algorithms, Compression, CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia GeForce GT 630

June 14, 2014 by hgpu

Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU

H.M. Magboub, M.A. Osman

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Tags: Compression, CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia GeForce 8800 GTS

June 7, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases

Parallel QuadTree Encoding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

CUDA Accelerated Entropy Constrained Vector Quantization and Multiple K-Means

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Compressed sensing using hidden Markov models with application to vision based aircraft tracking

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

Acceleration of GPU-based ultrasound simulation via data compression

A Fast Mixed-Band Lifting Wavelet Transform on the GPU

Image Denoising Using Wavelet Transform and CUDA

Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU

Vector Quantization: A Many-Core Approach

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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