high performance computing on graphics processing units: hgpu.org

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Accelerated Pressure Projection using OpenCL on GPUs

Davoud Saffar Shamshirgar

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Tags: Algorithms, Computer science, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

October 1, 2012 by hgpu

GPGPU Accelerated Texture-Based Radiosity Calculation

Sungkono Surya Tjahyono, Christof Lutteroth, Burkhard Wunsche

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce GTX 550 Ti, OpenCL, OpenGL, Rendering

October 1, 2012 by hgpu

Synthesizing Structured Traversals from Attribute Grammars

Leo A. Meyerovich, Matthew E. Torok, Eric Atkinson, Rastislav Bodik

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GT 650 M, OpenCL, Visualization

October 1, 2012 by hgpu

ARVO-CL: The OpenCL version of the ARVO package – An efficient tool for computing the accessible surface area and the excluded volume of proteins via analytical equations

Jan Busa Jr., Shura Hayryan, Ming-Chya Wu, Jan Busa, Chin-Kun Hu

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Tags: Algorithms, Biology, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL

September 30, 2012 by hgpu

Optimising Unstructured Mesh Computational Fluid Dynamics Applications on Multicores via Machine Learning and Code Transformation

Roxana Rusitoru

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Tags: Algorithms, Fluid dynamics, Heterogeneous systems, Machine learning, nVidia, OpenCL, Optimization, Tesla M2050, Thesis

September 28, 2012 by hgpu

A Hybrid Parallel Algorithm for Computing and Tracking Level Set Topology

Senthilnathan Maadasamy, Harish Doraiswamy, Vijay Natarajan

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 460, OpenCL

September 28, 2012 by hgpu

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Joao V. F. Lima, Thierry Gautier, Nicolas Maillard, Vincent Danjean

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

September 28, 2012 by hgpu

A fast Texture-by-numbers synthesis method based on texture optimization

Jing Fan, Xiao-Ying Shi, Zhan Zhou, Ying Tang

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580, Optimization, Rendering

September 28, 2012 by hgpu

Increasing the performance of AllToAll variant of self-organizing migration algorithm using CUDA

Michal Pavlech, Jan Seckar

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization

September 27, 2012 by hgpu

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

R. Nowotniak, J. Kucharski

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 295, Optimization

September 27, 2012 by hgpu

Lattice QCD based on OpenCL

Matthias Bach, Volker Lindenstruth, Owe Philipsen, Christopher Pinke

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Physics, QCD

September 27, 2012 by hgpu

GPU Acceleration of Image Convolution using Spatially-varying Kernel

Steven Hartung, Hemant Shukla, J. Patrick Miller, Carlton Pennypacker

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Tags: Algorithms, Astrophysics, CUDA, FFT, Image processing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 465

September 27, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Accelerated Pressure Projection using OpenCL on GPUs

GPGPU Accelerated Texture-Based Radiosity Calculation

Synthesizing Structured Traversals from Attribute Grammars

ARVO-CL: The OpenCL version of the ARVO package – An efficient tool for computing the accessible surface area and the excluded volume of proteins via analytical equations

Optimising Unstructured Mesh Computational Fluid Dynamics Applications on Multicores via Machine Learning and Code Transformation

A Hybrid Parallel Algorithm for Computing and Tracking Level Set Topology

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

A fast Texture-by-numbers synthesis method based on texture optimization

Increasing the performance of AllToAll variant of self-organizing migration algorithm using CUDA

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

Lattice QCD based on OpenCL

GPU Acceleration of Image Convolution using Spatially-varying Kernel

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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