high performance computing on graphics processing units: hgpu.org

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Exploiting graphical processing units for data-parallel scientific applications

A. Leist, D. P. Playne, K. A. Hawick

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Tags: Computer science, CUDA, Field equations, Graph theory, nVidia, nVidia GeForce 8800 GTS

November 27, 2010 by hgpu

CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units

Yongchao Liu, Bertil Schmidt, Weiguo Liu, Douglas L. Maskell

Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 280, Pattern recognition

November 27, 2010 by hgpu

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Yang Song, Gregory M. Striemer, Ali Akoglu

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Tags: Bioinformatics, Biology, Cell processor, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C870

November 27, 2010 by hgpu

Molecular dynamics simulation of complex multiphase flow on a computer cluster with GPUs

Feiguo Chen, Wei Ge, Jinghai Li

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Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, MPI, nVidia, Tesla C870

November 27, 2010 by hgpu

Solving Sparse Linear Systems on NVIDIA Tesla GPUs

Mingliang Wang, Hector Klie, Manish Parashar, Hari Sudan

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Sparse matrix, Tesla T10P

November 27, 2010 by hgpu

Harnessing graphics processors for the fast computation of acoustic likelihoods in speech recognition

Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui

Tags: Acoustics, CUDA, nVidia, Signal processing, Speech recognition

November 27, 2010 by hgpu

Evaluating the use of GPUs in liver image segmentation and HMMER database searches

J. P. Walters, V. Balu, S. Kompalli, V. Chaudhary

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

November 26, 2010 by hgpu

Triangular matrix inversion on Graphics Processing Unit

Florian Ries, Tommaso De Marco, Matteo Zivieri, Roberto Guerrieri

Tags: Computer science, CUDA, Linear Algebra, Matrix inversion, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295

November 26, 2010 by hgpu

Fast Disk Encryption through GPGPU Acceleration

Giovanni Agosta, Alessandro Barenghi, Fabrizio D. Santis, Andrea D. Biagio, Gerardo Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Package, Security

November 26, 2010 by hgpu

CFD-based analysis and two-level aerodynamic optimization on Graphics Processing Units

I. C. Kampolis, X. S. Trompoukis, V. G. Asouti, K. C. Giannakoglou

Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285

November 26, 2010 by hgpu

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

M. Boyer, D. Tarjan, S. T. Acton, K. Skadron

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Tags: Biology, CUDA, Microscopy, nVidia, nVidia GeForce GTX 280

November 26, 2010 by hgpu

A GPU framework for parallel segmentation of volumetric images using discrete deformable models

Jerome Schmid, Jose Iglesias Guitian, Enrico Gobbetti, Nadia Magnenat-Thalmann

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Tags: CUDA, Image processing, MRI, nVidia, nVidia GeForce 8800 GTX, Visualization

November 26, 2010 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Exploiting graphical processing units for data-parallel scientific applications

CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Molecular dynamics simulation of complex multiphase flow on a computer cluster with GPUs

Solving Sparse Linear Systems on NVIDIA Tesla GPUs

Harnessing graphics processors for the fast computation of acoustic likelihoods in speech recognition

Evaluating the use of GPUs in liver image segmentation and HMMER database searches

Triangular matrix inversion on Graphics Processing Unit

Fast Disk Encryption through GPGPU Acceleration

CFD-based analysis and two-level aerodynamic optimization on Graphics Processing Units

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

A GPU framework for parallel segmentation of volumetric images using discrete deformable models

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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