high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Fast, Memory-Efficient Construction of Voxelized Shadows

Viktor Kampe, Erik Sintorn, Ulf Assarsson

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, OpenGL, Real-time graphics, Rendering

February 19, 2015 by hgpu

Auto-tuning Shallow water simulations on GPUs

Andre B. Amundsen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro 1800 M, Rendering, Thesis

February 19, 2015 by hgpu

Memory-efficient Adaptive Subdivision for Software Rendering on the GPU

Thomas Weber

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Tags: ATI, ATI Radeon HD 7970, Computer science, OpenCL, Package, Rendering, Tessellation

February 19, 2015 by hgpu

NMF-mGPU: non-negative matrix factorization on multi-GPU systems

Edgardo Mejia-Roa, Daniel Tabas-Madrid, Javier Setoain, Carlos Garcia, Francisco Tirado, Alberto Pascual-Montano

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Factorization, GPU cluster, MPI, Nonnegative matrix factorization, nVidia, Package, Tesla C1060

February 19, 2015 by hgpu

NUPAR: A Benchmark Suite for Modern GPU Architectures

Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Package, Tesla C2070, Tesla K40

February 13, 2015 by hgpu

Locally-Oriented Programming: A Simple Programming Model for Stencil-Based Computations on Multi-Level Distributed Memory Architectures

Craig Rasmussen, Matthew Sottile, Daniel Nagle, Soren Rasmussen

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Tags: Computer science, OpenCL, Programming Languages

February 13, 2015 by hgpu

Quadratic Pseudo-Boolean Optimization for Scene Analysis using CUDA

Andreas Bauer

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 450 Ti, Thesis

February 13, 2015 by hgpu

Large-Scale Deep Learning on the YFCC100M Dataset

Karl Ni, Roger Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric Wang

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, Neural networks, nVidia, Tesla M2050

February 13, 2015 by hgpu

Primal Dual Affine Scaling on GPUs

Nithish Divakar

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Tags: Computer science, CUDA, Numerical Analysis, nVidia, Tesla S1070

February 13, 2015 by hgpu

A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks

Hannes Fassold, Jakub Rosner

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Tags: Computer vision, CUDA, SIFT

February 12, 2015 by HannesF99

FSCL: Homogeneous programming, scheduling and execution on heterogeneous platforms

Gabriele Cocco

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Package, Thesis

February 10, 2015 by hgpu

GPU-accelerated HMM for Speech Recognition

Leiming Yu, Yash Ukidave, David Kaeli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Speech recognition

February 10, 2015 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

Fast, Memory-Efficient Construction of Voxelized Shadows

Auto-tuning Shallow water simulations on GPUs

Memory-efficient Adaptive Subdivision for Software Rendering on the GPU

NMF-mGPU: non-negative matrix factorization on multi-GPU systems

NUPAR: A Benchmark Suite for Modern GPU Architectures

Locally-Oriented Programming: A Simple Programming Model for Stencil-Based Computations on Multi-Level Distributed Memory Architectures

Quadratic Pseudo-Boolean Optimization for Scene Analysis using CUDA

Large-Scale Deep Learning on the YFCC100M Dataset

Primal Dual Affine Scaling on GPUs

A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks

FSCL: Homogeneous programming, scheduling and execution on heterogeneous platforms

GPU-accelerated HMM for Speech Recognition

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