high performance computing on graphics processing units: hgpu.org

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Analyzing CUDA’s Compiler through the Visualization of Decoded GPU Binaries

Cedric Nugteren, Bart Mesman, Henk Corporaal

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Performance, Visualization

March 13, 2012 by hgpu

Real-time execution of image change detection

Hugo van Lint

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, Thesis

March 13, 2012 by hgpu

Dynamic Compilation of Data-Parallel Kernels for Vector Processors

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia

March 12, 2012 by hgpu

GPU Accelerated Computation of Fast Spectral Transforms

Gajic Dusan B., Stankovic Radomir S.

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Tags: Algorithms, ATI, ATI Radeon HD 5650, Computer science, FFT, OpenCL

March 12, 2012 by hgpu

A GPU Algorithm for Greedy Graph Matching

B. O. Fagginger Auer, R. H. Bisseling

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla C2050

March 12, 2012 by hgpu

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

Fan Zhang, Zheng Li, Bingnan Wang, Maosheng Xiang, Wen Hong

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Tags: CUDA, nVidia, nVidia GeForce 9500 GT, Physics, Signal processing

March 12, 2012 by hgpu

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

Salih Cihan Tek, Muhittin Gokmen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

March 11, 2012 by hgpu

Better speedups using simpler parallel programming for graph connectivity and biconnectivity

James A. Edwards, Uzi Vishkin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Performance, Programming techniques

March 11, 2012 by hgpu

NUMA Data-Access Bandwidth Characterization and Modeling

Ryan Karl Braithwaite

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C2050, Tesla M2050, Thesis

March 11, 2012 by hgpu

An Algorithm for Fast Edit Distance Computation on GPUs

Reza Farivar, Harshit Kharbanda, Shivaram Venkataraman, Roy H. Campbell

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security, Sequence alignment

March 11, 2012 by hgpu

GPU Path Tracing

Jincheng Li

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Thesis

March 11, 2012 by hgpu

Performance Analysis of a Novel GPU Computation-to-core Mapping Scheme for Robust Facet Image Modeling

Seung In Park, Yong Cao, Layne T. Watson, Francis Quek

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, Performance

March 10, 2012 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

Programming

Analyzing CUDA’s Compiler through the Visualization of Decoded GPU Binaries

Real-time execution of image change detection

Dynamic Compilation of Data-Parallel Kernels for Vector Processors

GPU Accelerated Computation of Fast Spectral Transforms

A GPU Algorithm for Greedy Graph Matching

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

Better speedups using simpler parallel programming for graph connectivity and biconnectivity

NUMA Data-Access Bandwidth Characterization and Modeling

An Algorithm for Fast Edit Distance Computation on GPUs

GPU Path Tracing

Performance Analysis of a Novel GPU Computation-to-core Mapping Scheme for Robust Facet Image Modeling

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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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