high performance computing on graphics processing units: hgpu.org

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Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Yong-Chull Jang, Jon A. Bailey, Weonjong Lee, Carleton DeTar, Mehmet B. Oktay, Andreas S. Kronfeld

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Tags: CUDA, High Energy Physics - Lattice, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Physics

November 22, 2013 by hgpu

Direct Numeric Simulation of Sheared Convective Boundary Layer Entrainment with GPUs

Nicholas J. Stewart, David W. Holmes, Wenxian Lin, Steven W. Armfield, Michael P. Kirkpatrick

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Tags: Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 560, Tesla C2070

November 21, 2013 by hgpu

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Fernando Jorge Marques Alexandre

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Tags: ATI, ATI Radeon HD 7950, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Thesis

November 20, 2013 by hgpu

Adaptive implementation selection in the SkePU skeleton programming library

Usman Dastgeer, Lu Li, Christoph Kessler

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Tags: Computer science, CUDA, Machine learning, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

November 19, 2013 by hgpu

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Kirana Kumara P

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Tags: Computational Physics, Computer science, CUDA, Fortran, Mathematical Software, Medical Physics, MPI, nVidia, nVidia Quadro 4000, Package

November 19, 2013 by hgpu

Implementation of the twisted mass fermion operator in the QUDA library

Alexei Strelchenko, Constantia Alexandrou, Giannis Koutsou, Alejandro Vaquero Aviles-Casco

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Tags: CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla K20

November 19, 2013 by hgpu

An implicit multigrid solver for high-order compressible flow simulations on GPUs

V. Esfahanian, M. Hedayat, B. Baghapour, M. Torabzadeh, S.J. Hosseini

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480

November 19, 2013 by hgpu

Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Lev E. Givon, Aurel A. Lazar

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Tags: Biology, CUDA, Neuroscience, nVidia, Package, Python

November 18, 2013 by hgpu

Integrating Multi-GPU Execution in an OpenACC Compiler

Toshiya Komoda, Shinobu Miwa, Hiroshi Nakamura, Naoya Maruyama

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Tags: Compilers, Computer science, CUDA, MPI, nVidia, OpenACC, Tesla C2075, Tesla M2050

November 18, 2013 by hgpu

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

William R. French, Amulya K. Pervaje, Andrew P. Santos, Christopher R. Iacovella, Peter T. Cummings

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Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenMPI, Physics, Tesla M2090

November 18, 2013 by hgpu

Performance and Power Comparisons Between Fermi and Cypress GPUs

Ying Zhang

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Thesis

November 18, 2013 by hgpu

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael Evans, Satish Puri

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GTX 480, OpenGL

November 17, 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

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Direct Numeric Simulation of Sheared Convective Boundary Layer Entrainment with GPUs

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Adaptive implementation selection in the SkePU skeleton programming library

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Implementation of the twisted mass fermion operator in the QUDA library

An implicit multigrid solver for high-order compressible flow simulations on GPUs

Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Integrating Multi-GPU Execution in an OpenACC Compiler

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

Performance and Power Comparisons Between Fermi and Cypress GPUs

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

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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