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A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

Aditi Rathi, Michael DeBole, Weina Ge, Robert T. Collins, N. Vijaykrishnan

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 18, 2010 by hgpu

A Single (Unified) Shader GPU Microarchitecture for Embedded Systems

Victor Moya, Carlos Gonzalez, Jordi Roca, Agustin Fernandez and Roger Espasa

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Tags: Architecture, Computer science, Games, nVidia, nVidia GeForce 3, OpenGL

December 18, 2010 by hgpu

A Cross-Input Adaptive Framework for GPU Programs Optimization

Yixun Liu, Eddy Z. Zhang, Xipeng Shen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

December 18, 2010 by hgpu

Fast Software AES Encryption

Dag Osvik, Joppe Bos, Deian Stefan, David Canright

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 295, Security

December 17, 2010 by hgpu

GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package, Presentation, Programming techniques

December 17, 2010 by hgpu

Programming massively parallel processors : A Hands – on approach

David B Kirk and Wen-Mei W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, OpenCL, Review

December 17, 2010 by hgpu

Revolutionary technologies for acceleration of emerging petascale applications

Rupak Biswas, Leonid Oliker and Jeffrey Vetter

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Tags: Computer science, Programming techniques

December 16, 2010 by hgpu

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Dominik Goddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Sven H.M. Buijssen, Matthias Grajewski and Stefan Turek

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Tags: Computer science, Finite element method, GPU cluster, MPI, nVidia, nVidia Quadro FX 5600

December 16, 2010 by hgpu

Scientific Programming for Heterogeneous Systems – Bridging the Gap between Algorithms and Applications

Alexey Lastovetsky

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Tags: Algorithms, Computer science, Data parallelism

December 15, 2010 by hgpu

An effective GPU implementation of breadth-first search

Lijuan Luo, Martin Wong, Wen M. Hwu

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Tags: Algorithms, Computer science, Search

December 15, 2010 by hgpu

Dual-RBF based surface reconstruction

Yuxu Lin, Chun Chen, Mingli Song, Zicheng Liu

Tags: Computer science, Image processing, Image reconstruction

December 15, 2010 by hgpu

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C1060

December 15, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

A Single (Unified) Shader GPU Microarchitecture for Embedded Systems

A Cross-Input Adaptive Framework for GPU Programs Optimization

Fast Software AES Encryption

GPU Parallelization of Algebraic Dynamic Programming

Programming massively parallel processors : A Hands – on approach

Revolutionary technologies for acceleration of emerging petascale applications

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Scientific Programming for Heterogeneous Systems – Bridging the Gap between Algorithms and Applications

An effective GPU implementation of breadth-first search

Dual-RBF based surface reconstruction

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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