high performance computing on graphics processing units: hgpu.org

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Acceleration of the Smith-Waterman Algorithm using Single and Multiple Graphics Processors

Ali Khajeh-Saeed, Stephen Poole, J. Blair Perot

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 295, Sequence matching, Smith-Waterman algorithm

November 18, 2010 by hgpu

Parallel implementation of Artificial Neural Network training for speech recognition

Stefano Scanzio, Sandro Cumani, Roberto Gemello, Franco Mana, P. Laface

Tags: Computer science, CUDA, Neural networks, nVidia

November 18, 2010 by hgpu

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Dimitri Komatitsch, Dominik Goddeke, Gordon Erlebacher, David Michea

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Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, MPI, nVidia, Tesla C1070

November 18, 2010 by hgpu

Fault Table Computation on GPUs

Kanupriya Gulati, Sunil Khatri

Tags: Computer science, Fault simulation, nVidia, nVidia Quadro FX 5800

November 18, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Source codes

Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Wei W. Feng, Byung U. Kim, Yizhou Yu, Liang Peng, John Hart

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 18, 2010 by hgpu

Graphics processing unit–accelerated holography by simulated annealing

Joel Carpenter, Timothy D. Wilkinson

Tags: Computer holography, nVidia, nVidia GeForce GTX 260, Optics, Physics

November 18, 2010 by hgpu

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

Massimo Bernaschi, Massimiliano Fatica, Simone Melchionna, Sauro Succi, Efthimios Kaxiras

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8600 M GT, Tesla C870

November 18, 2010 by hgpu

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Xueming Li, Nikolaus Grigorieff, Yifan Cheng

Source codes

Tags: Biology, CUDA, Electron microscopy, Image reconstruction, nVidia, Package

November 18, 2010 by hgpu

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

Xiaokang Zhang, Xing Zhang, Z. Hong Zhou

Tags: Biology, Cryo-EM, CUDA, Image reconstruction, nVidia

November 18, 2010 by hgpu

An adaptive Expectation-Maximization algorithm with GPU implementation for electron cryomicroscopy

Hemant D. Tagare, Andrew Barthel, Fred J. Sigworth

Tags: Algorithms, Biology, Cryo-EM, CUDA, Image reconstruction, nVidia

November 18, 2010 by hgpu

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 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

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high performance computing on graphics processing units: hgpu.org

Acceleration of the Smith-Waterman Algorithm using Single and Multiple Graphics Processors

Parallel implementation of Artificial Neural Network training for speech recognition

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Fault Table Computation on GPUs

A GPGPU compiler for memory optimization and parallelism management

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Graphics processing unit–accelerated holography by simulated annealing

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

An adaptive Expectation-Maximization algorithm with GPU implementation for electron cryomicroscopy

Correlation analysis on GPU systems using NVIDIA’s CUDA

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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