high performance computing on graphics processing units: hgpu.org

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GPU Accelerated Solver of Time-Dependent Air Pollutant Transport Equations

Vaclav Simek, Radim Dvorak, Frantisek Zboril, Vladimir Drabek

Tags: CUDA, Diffusion equation, Earth and Space Sciences, nVidia, Partial differential equations, PDEs

April 3, 2011 by hgpu

GPU-Accelerated Method of Moments by Example: Monostatic Scattering

E. Lezar, D.B. Davidson

Tags: CUDA, Electrodynamics, nVidia

April 3, 2011 by hgpu

Accelerate Smoothed Particle Hydrodynamics using GPU

Xiaopeng Gao, Zhiqiang Wang, Han Wan, Xiang Long

Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Particle simulation

April 3, 2011 by hgpu

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

W.C. Barker, S. Thada

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia Quadro FX 4600, Tomography

April 3, 2011 by hgpu

A Light-weight API for Portable Multicore Programming

Christopher G. Baker, Michael A. Heroux, H. Carter Edwards, Alan B. Williams

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, RapidMind

April 3, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

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Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

Throughput-Effective On-Chip Networks for Manycore Accelerators

Ali Bakhoda, John Kim, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

April 2, 2011 by hgpu

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

T.P. Stefanski, S. Benkler, N. Chavannes, N. Kuster

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, OpenCL, Performance

April 2, 2011 by hgpu

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

K.Berker Logoglu, Tugrul K. Ates

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Tags: ATI, ATI Radeon HD 5870, CUDA, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT, nVidia GeForce GTX 285, OpenCL, Search, Signal processing

April 2, 2011 by hgpu

A characterization and analysis of PTX kernels

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, PTX

April 2, 2011 by hgpu

Parallel computing with CUDA

M. Garland

Tags: Computer science, CUDA, nVidia, Programming techniques

April 2, 2011 by hgpu

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Robert Dietrich, Thomas Ilsche, Guido Juckeland

Tags: Computer science, CUDA, nVidia, OpenCL, Performance

April 1, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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high performance computing on graphics processing units: hgpu.org

GPU Accelerated Solver of Time-Dependent Air Pollutant Transport Equations

GPU-Accelerated Method of Moments by Example: Monostatic Scattering

Accelerate Smoothed Particle Hydrodynamics using GPU

GPU acceleration of MOLAR for HRRT List-Mode OSEM reconstructions

A Light-weight API for Portable Multicore Programming

Energy consumption of Graphic Processing Units with respect to automotive use-cases

Throughput-Effective On-Chip Networks for Manycore Accelerators

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

A characterization and analysis of PTX kernels

Parallel computing with CUDA

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

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Tutoring LLM into a Better CUDA Optimizer

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

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