high performance computing on graphics processing units: hgpu.org

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Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms

George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo Torres, Wagner Meira Jr, Joel H. Saltz

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Tags: Algorithms, Computer science, CUDA, Databases, Nearest neighbour, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470

September 4, 2012 by hgpu

Parallelization Design of Irregular Algorithms of Video Processing on GPUs

Huayou Su, Jun Chai, Mei Wen, Ju Ren, Chunyuan Zhang

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460, Tesla C2050, Video encoding

August 4, 2012 by hgpu

Fast Linear Algebra on GPU

Lukas Polok, Pavel Smrz

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Tags: Computer science, CUBLAS, Linear Algebra, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 590, OpenCL

July 28, 2012 by hgpu

Bidimensional Median Filter for Parallel Computing Architectures

Ricardo M. Sanchez, Paul A. Rodriguez

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Sorting

July 26, 2012 by hgpu

Performance models for CUDA streams on NVIDIA GeForce series

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance

July 9, 2012 by hgpu

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Yu-Shiang Lin, Chun-Yuan Lin, Der-Chyuan Lou

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security, Tesla C2050, Tesla S1070

July 7, 2012 by hgpu

Interactive Quantum Chemistry: A Divide-and-Conquer ASED-MO Method

Mael Bosson, Caroline Richard, Antoine Plet, Sergei Grudinin, Stephane Redon

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce GTX 260

July 5, 2012 by hgpu

Optimizing dataflow applications on heterogeneous environments

George Teodoro, Timothy D. R. Hartley, Umit V. Catalyurek, Renato Ferreira

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260, Tesla C2050

June 19, 2012 by hgpu

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Pooya Zandevakili, Ming Hu, Zhaohui Qin

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Tags: Algorithms, Biochemistry, Biology, Chemistry, Computational biology, Computer science, CUDA, Genetics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package

June 17, 2012 by hgpu

High-Efficient Parallel CAVLC Encoders on Heterogeneous Multicore Architectures

Huayou Su, Mei Wen, Ju Ren, Nan Wu, Jun Chai, Chunyuan Zhang

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Tags: CUDA, DSP, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 260

April 23, 2012 by hgpu

Fast GPU-based fluid simulations using SPH

Oystein E. Krog, Anne C. Elster

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470, Package, Tesla C2050

April 16, 2012 by hgpu

Efficient computational noise in GLSL

Ian McEwan, David Sheets, Stefan Gustavson, Mark Richardson

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3650, ATI Radeon HD 4850, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 7600 GS, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenGL, Package

April 9, 2012 by hgpu

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

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms

Parallelization Design of Irregular Algorithms of Video Processing on GPUs

Fast Linear Algebra on GPU

Bidimensional Median Filter for Parallel Computing Architectures

Performance models for CUDA streams on NVIDIA GeForce series

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Interactive Quantum Chemistry: A Divide-and-Conquer ASED-MO Method

Optimizing dataflow applications on heterogeneous environments

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

High-Efficient Parallel CAVLC Encoders on Heterogeneous Multicore Architectures

Fast GPU-based fluid simulations using SPH

Efficient computational noise in GLSL

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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