high performance computing on graphics processing units: hgpu.org

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Code Optimization Techniques for Graphics Processing Units

Fernando Magno Quintao Pereira

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Tags: Algorithms, Book, Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9400 M, Optimization, Package, Programming techniques, PTX, Tutorial

December 17, 2011 by hgpu

Customizable Memory Schemes for Data Parallel Accelerators

Chunyang Gou

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 17, 2011 by hgpu

Parallel mesh adaptation and graph analysis using graphics processing units

Timothy P. McGuiness

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Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, Graph theory, MPI, nVidia, nVidia GeForce GTX 295, Tesla S1070

December 17, 2011 by hgpu

A Comparative Analysis of GPU Implementations of Spectral Unmixing Algorithms

Sergio Sanchez, Antonio Plaza

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 275, Tesla C1060

December 17, 2011 by hgpu

A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both

Jonathan Palacios, Josh Triska

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Tags: Computer science, Hardware Architecture, nVidia, Overview, Performance

December 17, 2011 by hgpu

A Parallel GPU Version of the Traveling Salesman Problem

Molly A. O'Neil, Dan Tamir, Martin Burtscher

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package, Tesla C2050

December 16, 2011 by hgpu

Reducing Thread Divergence in GPU-based B and B Applied to the Flow-shop problem

Imen Chakroun, Ahcene Bendjoudi, Nouredine Melab

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Tesla C2050

December 16, 2011 by hgpu

Algorithms acceleration of pattern-matching in multi-core architectures

David Rodenas Pico

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GT 430, nVidia GeForce GTX 320 M, Thesis

December 16, 2011 by hgpu

High-performance polynomial GCD computations on graphics processors

Pavel Emeliyanenko

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Tags: Algorithms, CUDA, Mathematics, Modular arithmetic, nVidia, nVidia GeForce GTX 580

December 16, 2011 by hgpu

Reducing Thread Divergence in GPU-based B&B Applied to the Flow-shop problem

Imen Chakroun, Ahcene Bendjoudi, Nouredine Melab

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Tesla C2050

December 16, 2011 by hgpu

Efficient XML Path Filtering Using GPUs

Roger Moussalli, Robert Halstead, Mariam Salloum, Walid Najjar, Vassilis J. Tsotras

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Tags: Computer science, CUDA, Data Structures and Algorithms, FPGA, nVidia, Optimization, Tesla C1060

December 16, 2011 by hgpu

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

Michael J. Anderson, David Sheffield, Kurt Keutzer

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Tags: Benchmarking, Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia Quadro FX 6000, Package, Signal processing

December 16, 2011 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

Code Optimization Techniques for Graphics Processing Units

Customizable Memory Schemes for Data Parallel Accelerators

Parallel mesh adaptation and graph analysis using graphics processing units

A Comparative Analysis of GPU Implementations of Spectral Unmixing Algorithms

A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both

A Parallel GPU Version of the Traveling Salesman Problem

Reducing Thread Divergence in GPU-based B and B Applied to the Flow-shop problem

Algorithms acceleration of pattern-matching in multi-core architectures

High-performance polynomial GCD computations on graphics processors

Reducing Thread Divergence in GPU-based B&B Applied to the Flow-shop problem

Efficient XML Path Filtering Using GPUs

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

Recent source codes

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Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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HDM: Home made Diffusion Models

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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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