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Efficient Processing of MRFs for Unconstrained-Pose Face Recognition

Shervin Rahimzadeh Arashloo, Josef Kittler

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460

December 31, 2013 by hgpu

Improved Sequential & Parallel Designs and Implementations of the Eight Direction Prewitt Edge Detection

Mohammed B. Mohammed

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Tags: Algorithms, Computer science, Computer vision, OpenCV, Pattern recognition, Thesis

December 31, 2013 by hgpu

Real Time Background Subtraction On GPU Using CUDA

Vandana P. Tonde, Shivprasad P. Patil

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS

December 31, 2013 by hgpu

Developing a High Performance Software Library with MPI and CUDA for Matrix Computations

Bogdan Oancea, Tudorel Andrei

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, Memory model, MPI, nVidia, nVidia GeForce GTX 280

December 29, 2013 by hgpu

Optimizing LZSS Compression on GPGPUs

Adnan Ozsoy, Martin Swany, Arun Chauhan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching, Tesla C2075

December 29, 2013 by hgpu

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Laurence Dawson, Iain A. Stewart

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

December 29, 2013 by hgpu

Algorithms for manipulating large geometric data

Jiri Skala

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Tags: 3D Graphics and Realism, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Thesis

December 29, 2013 by hgpu

Accelerating Computational Algorithms

Michael Risley

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Tags: Algorithms, APU, ATI, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Thesis

December 29, 2013 by hgpu

Implementing Neural Networks Efficiently

Ronan Collobert, Koray Kavukcuoglu, Clement Farabet

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, Tesla M2090

December 29, 2013 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

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Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

BbmTTP: Beat-based Parallel Simulated Annealing Algorithm on GPGPUs for the Mirrored Traveling Tournament Problem

Vijay Menon, Saurabh Jha

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package, Tesla M2050

December 27, 2013 by hgpu

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

Yong Cao, Robert Hagan

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Tags: Computer science, nVidia, nVidia GeForce GTX 295, Rendering, Task scheduling, Visualization

December 27, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Efficient Processing of MRFs for Unconstrained-Pose Face Recognition

Improved Sequential & Parallel Designs and Implementations of the Eight Direction Prewitt Edge Detection

Real Time Background Subtraction On GPU Using CUDA

Developing a High Performance Software Library with MPI and CUDA for Matrix Computations

Optimizing LZSS Compression on GPGPUs

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Algorithms for manipulating large geometric data

Accelerating Computational Algorithms

Implementing Neural Networks Efficiently

OpenCL Programming by Example

BbmTTP: Beat-based Parallel Simulated Annealing Algorithm on GPGPUs for the Mirrored Traveling Tournament Problem

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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