high performance computing on graphics processing units: hgpu.org

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Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

R. G. Calland, A. C. Kaboth, D. Payne

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 670, Package, Physics, Probability

December 3, 2013 by hgpu

Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 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

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

On the origin of yet another channel

Petr Svenda, Vaclav Matyas

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Security

November 14, 2013 by hgpu

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Michal Januszewski, Marcin Kostur

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Tags: Code generation, Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285, OpenCL, Package, Physics, Python, Tesla C1060, Tesla C2050, Tesla K10, Tesla K20

November 12, 2013 by hgpu

Performance Evaluation of R with Intel Xeon Phi Coprocessor

Yaakoub El-Khamra, Niall Gaffney, David Walling, Eric Wernert, Weijia Xu, Hui Zhang

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Tags: Computer science, CUDA, CULA, High-level Languages, Intel Phi, Intel Xeon Phi, nVidia, Package, Performance, Tesla K20

November 12, 2013 by hgpu

Accelerating calculations of RNA secondary structure partition functions using GPUs

Harry A Stern, David H Mathews

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, RNA, Tesla M2050

November 11, 2013 by hgpu

GooFit: A library for massively parallelising maximum-likelihood fits

R. Andreassen, B. T. Meadows, M. de Silva, M. D. Sokoloff, K. Tomko

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Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GT 650 M, Package, Probability, Tesla C2050, Tesla C2070

November 8, 2013 by hgpu

Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising

Xavier Gibert Serra, Vishal M. Patel, Demetrio Labate, Rama Chellappa

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, Package

November 8, 2013 by hgpu

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Marcus Holm, Stefan Engblom, Anders Goude, Sverker Holmgren

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Tags: Computer science, CUDA, Fast multipole method, nVidia, Package, Performance, Tesla M2050

November 6, 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

Exploring GPGPU Acceleration of Process-Oriented Simulations

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

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

On the origin of yet another channel

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Performance Evaluation of R with Intel Xeon Phi Coprocessor

Accelerating calculations of RNA secondary structure partition functions using GPUs

GooFit: A library for massively parallelising maximum-likelihood fits

Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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