high performance computing on graphics processing units: hgpu.org

Applications

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The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Ivaneik Ondrej, Ivan Simecek

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Package, Sparse matrix, Thesis

May 19, 2012 by hgpu

Accurate CUDA Performance Modeling for Sparse Matrix-Vector Multiplication

Ping Guo, Liqiang Wang

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 19, 2012 by hgpu

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

Carlos Gonzalez, Sergio Sanchez, Abel Paz, Javier Resano, Daniel Mozos, Antonio Plaza

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Tags: Algorithms, CUDA, FPGA, Image processing, nVidia, Sensing, Tesla C1060

May 19, 2012 by hgpu

An Introduction to the OpenCL Programming Model

Jonathan Thompson, Kristofer Schlachter

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 6750 M, Computer science, Matrix multiplication, nVidia, nVidia Quadro FX 2000, OpenCL, Overview, Tutorial

May 16, 2012 by hgpu

GPU accelerated Nonlinear Soft Tissue Deformation

Sathish Kottravel

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Tags: Algorithms, CUDA, FEM, Finite element method, Medicine, nVidia, nVidia GeForce GTX 290, Surgical simulation, Thesis

May 16, 2012 by hgpu

Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit

Sangpil Lee, Won W. Ro

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 285

May 16, 2012 by hgpu

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

Ping Li, Anshumali Shrivastava, Arnd Christian Konig

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Tags: Algorithms, Computer science, CUDA, Databases, Hashing, Information Retrieval, nVidia, Tesla C2050

May 16, 2012 by hgpu

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

Paolo D'Alberto

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6750, Computer science, Heterogeneous systems, Mathematical Software, Matrix multiplication, OpenCL

May 16, 2012 by hgpu

The BiConjugate gradient method on GPUs

G. Ortega, E. M. Garzon, F. Vazquez, I. Garcia

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 15, 2012 by hgpu

Batch Records Insertion into Multidimensional Linear Dynamic Hashing Table on GPU

Yong Liu, Jianqing Xi, Zhengwen Lai, Dongping Huang

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 550 Ti

May 15, 2012 by hgpu

Fast Adaptive Sampling Technique for Multi-Dimensional Integral Estimation Using GPUs

Pradeep Rao, Sayantan Mitra, Foy Nathanael, G. N. Srinivasa Prasanna

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 480, Physics

May 15, 2012 by hgpu

Parallel implementation of a ray tracer for underwater sound waves using the cuda libraries: description and application to the simulation of underwater networks

Matteo Lazzarin

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Tags: Acoustics, Computational Complexity, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 580, Physics, Raytracing, Thesis

May 15, 2012 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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high performance computing on graphics processing units: hgpu.org

Applications

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Accurate CUDA Performance Modeling for Sparse Matrix-Vector Multiplication

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

An Introduction to the OpenCL Programming Model

GPU accelerated Nonlinear Soft Tissue Deformation

Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

The BiConjugate gradient method on GPUs

Batch Records Insertion into Multidimensional Linear Dynamic Hashing Table on GPU

Fast Adaptive Sampling Technique for Multi-Dimensional Integral Estimation Using GPUs

Parallel implementation of a ray tracer for underwater sound waves using the cuda libraries: description and application to the simulation of underwater networks

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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