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DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Software Engineering

November 9, 2010 by hgpu

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

Kimikazu Kato, Tikara Hosino

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Tags: Computer science, CUDA, Data Structures and Algorithms, Information Retrieval, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

N-Body Simulations on GPUs

Erich Elsen, V. Vishal, Mike Houston, Vijay Pande, Pat Hanrahan, Eric Darve

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Tags: ATI, ATI Radeon X1900, ATI Stream, Brook, Computational Engineering, Computer science, Molecular dynamics, N-body simulation, Stellar dynamics

November 8, 2010 by hgpu

Caracteristiques arithmetiques des processeurs graphiques

Marc Daumas, Guillaume Da Graca, David Defour

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Tags: ATI, ATI Radeon X1800, Computer science, Mathematical Software, nVidia, nVidia GeForce 7800 GTX, OpenGL

November 8, 2010 by hgpu

Multifold Acceleration of Neural Network Computations Using GPU

Alexander Guzhva, Sergey Dolenko, Igor Persiantsev

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 260

November 8, 2010 by hgpu

An extended GPU radiosity solver

Gunter Wallner

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Tags: Cg, Computer science, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL

November 8, 2010 by hgpu

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Chao-Tung Yang, Chih-Lin Huang, Cheng-Fang Lin

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla C1060, Tesla S1070

November 8, 2010 by hgpu

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

DaQi Ren, Reiji Suda

Tags: Computer science, CUDA, Energy-efficient computing, Matrix multiplication, nVidia

November 8, 2010 by hgpu

Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems

Stanimire Tomov, Jack Dongarra, Marc Baboulin

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Tags: Computer science, CUDA, Hybrid computing, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

Bayesian real-time perception algorithms on GPU

Joao Ferreira, Jorge Lobo, Jorge Dias

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GTX

November 8, 2010 by hgpu

Parallel Banding Algorithm to compute exact distance transform with the GPU

Thanh T. Cao, Ke Tang, Anis Mohamed, Tiow S. Tan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9600 M, nVidia GeForce 9800 GT, nVidia GeForce GTX 280, Tesla C1060, Voronoi diagram

November 8, 2010 by hgpu

COMPASS: a programmable data prefetcher using idle GPU shaders

Dong H. Woo, Hsien Hsin

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Tags: Computer science, Prefetch, Shaders

November 7, 2010 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

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Solving $k$-Nearest Vector Problem on Multiple Graphics Processors

N-Body Simulations on GPUs

Caracteristiques arithmetiques des processeurs graphiques

Multifold Acceleration of Neural Network Computations Using GPU

An extended GPU radiosity solver

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems

Bayesian real-time perception algorithms on GPU

Parallel Banding Algorithm to compute exact distance transform with the GPU

COMPASS: a programmable data prefetcher using idle GPU shaders

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

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