high performance computing on graphics processing units: hgpu.org

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Counting and Occurrence Sort for GPUs using an Embedded Language

Josef Svenningsson, Bo Joel Svensson, Mary Sheeran

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Tags: Algorithms, Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 670, Package, Sorting

July 30, 2013 by hgpu

Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi

Jack Dongarra, Mark Gates, Azzam Haidar, Yulu Jia, Khairul Kabir, Piotr Luszczek, Stanimire Tomov

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Tags: Computer science, Heterogeneous systems, Intel Phi, Linear Algebra, Package, Programming techniques

July 30, 2013 by hgpu

Scalable Dense Linear Algebra on Heterogeneous Hardware

George Bosilca, Aurelien Bouteiller, Anthony Danalis, Thomas Herault, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 280, Tesla C2050

July 30, 2013 by hgpu

LU Factorization with Partial Pivoting for a Multicore System with Accelerators

Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Tesla S2050

July 29, 2013 by hgpu

Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

I. Demir, R. Westermann

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Tags: Computer science, CUDA, Image generation, Matrix inversion, nVidia, nVidia GeForce GTX 580

July 29, 2013 by hgpu

Real-time 3D semi-local surface patch extraction using GPGPU

Sergio Orts-Escolano, Vicente Morell, Jose Garcia-Rodriguez, Miguel Cazorla, Robert B. Fisher

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 480

July 29, 2013 by hgpu

Point Based Approximate Color Bleeding With Cuda

Nicholas D. Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Tesla C2050, Thesis

July 29, 2013 by hgpu

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Fei Wang, Jianqiang Dong, Bo Yuan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20

July 27, 2013 by hgpu

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

A unified sparse matrix data format for modern processors with wide SIMD units

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Phi, Mathematical Software, nVidia, Sparse matrix, Tesla K20

July 25, 2013 by hgpu

Octree Light Propagation Volumes

John David Olovsson, Michael Doggett

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenGL, Rendering

July 25, 2013 by hgpu

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Guangfu Shi

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia Quadro K 2000 M, Raytracing, Rendering, Thesis

July 25, 2013 by hgpu

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

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Counting and Occurrence Sort for GPUs using an Embedded Language

Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi

Scalable Dense Linear Algebra on Heterogeneous Hardware

LU Factorization with Partial Pivoting for a Multicore System with Accelerators

Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

Real-time 3D semi-local surface patch extraction using GPGPU

Point Based Approximate Color Bleeding With Cuda

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

A unified sparse matrix data format for modern processors with wide SIMD units

Octree Light Propagation Volumes

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Recent source codes

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

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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