high performance computing on graphics processing units: hgpu.org

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CoreTSAR: Task Scheduling for Accelerator-aware Runtimes

Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Task scheduling, Tesla C2070

November 22, 2012 by hgpu

Automatic generation of software pipelines for heterogeneous parallel systems

Jacques A. Pienaar, Srimat Chakradhar, Anand Raghunathan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060

November 22, 2012 by hgpu

Tera-scale Astronomical Data Analysis and Visualization

A. H. Hassan, C. J. Fluke, D. G. Barnes, V. A. Kilborn

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Rendering, Tesla C2070, Tesla C2090, Visualization

November 22, 2012 by hgpu

List Mode PET reconstruction

Balazs Kovacs

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Tags: Computer science, CUDA, nVidia, PET, Tesla C2050

November 22, 2012 by hgpu

Early evaluation of directive-based GPU programming models for productive exascale computing

Seyong Lee, Jeffrey S. Vetter

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Tags: Computer science, CUDA, nVidia, OpenACC, Tesla M2090

November 21, 2012 by hgpu

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 by hgpu

ValuePack: value-based scheduling framework for CPU-GPU clusters

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Tesla C2050

November 21, 2012 by hgpu

Dataflow-driven GPU performance projection for multi-kernel transformations

Jiayuan Meng, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

November 20, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Source codes

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

MPC Toolbox with GPU Accelerated Optimization Algorithms

Nicolai Fog Gade-Nielsen, John Bagterp Jorgensen, Bernd Dammann

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

November 20, 2012 by hgpu

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Simen Andreas Andreassen Lonsethagen

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Tags: CUDA, Finite difference, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 570, Thesis

November 20, 2012 by hgpu

CUDA-enabled Optimisation of Technical Analysis Parameters

John O'Rourke, John Burns

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Tags: CUDA, Finance, Genetic programming, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 480

November 19, 2012 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

CoreTSAR: Task Scheduling for Accelerator-aware Runtimes

Automatic generation of software pipelines for heterogeneous parallel systems

Tera-scale Astronomical Data Analysis and Visualization

List Mode PET reconstruction

Early evaluation of directive-based GPU programming models for productive exascale computing

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Dataflow-driven GPU performance projection for multi-kernel transformations

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

MPC Toolbox with GPU Accelerated Optimization Algorithms

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

CUDA-enabled Optimisation of Technical Analysis Parameters

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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