high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Implementation of random linear network coding on OpenGL-enabled graphics cards

Peter Vingelmann, Peter Zanaty, Frank H. P. Fitzek, Hassan Charaf

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Tags: Cg, Computer science, Networks, nVidia, nVidia GeForce 9200 M GS, nVidia GeForce 9600 GT, OpenGL

July 17, 2011 by hgpu

Realtime background subtraction from dynamic scenes

Li Cheng, Minglun Gong

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Tags: ATI, ATI Radeon X1950, Computer science, Computer vision, Real-time graphics

July 17, 2011 by hgpu

hiCUDA: High-Level GPGPU Programming

Tianyi David Han, Tarek S. Abdelrahman

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Package, Presentation

July 17, 2011 by hgpu

Focus measurement on programmable graphics hardware for all in-focus rendering from light fields

Kaoru Sugita, Keita Takahashi, Takeshi Naemura, Hiroshi Harashima

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800 Pro, Computer science, DirectX, Rendering, Virtual reality

July 17, 2011 by hgpu

Feature-based speed limit sign detection using a graphics processing unit

Vladimir Glavtchev, Pinar Muyan-Ozcelik, Jeffrey M. Ota, John D. Owens

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9400 M GS, OpenGL, Rendering

July 17, 2011 by hgpu

Mars: Accelerating MapReduce with Graphics Processors

Wenbin Fang, Bingsheng He, Qiong Luo, N.K. Govindaraju

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

July 17, 2011 by hgpu

Quality comparison and acceleration for digital hologram generation method based on segmentation

Hoonjong Kang, Fahri Yaras, Levent Onural

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Tags: Computer holography, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 280

July 17, 2011 by hgpu

Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

Ivo Hanak, Martin Janda, Vaclav Skala

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Tags: Computer holography, Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Rendering

July 16, 2011 by hgpu

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Matthew J. Sottile, Craig E Rasmussen, Wayne N. Weseloh, Robert W. Robey, Daniel Quinlan, Jeffrey Overbey

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Tags: Computer science, Fortran, nVidia, OpenCL, Package, Programming Languages, Tesla C2050

July 14, 2011 by hgpu

A Survey of Neural Computation on Graphics Processing Hardware

Ryan J. Meuth, Donald C. Wunsch II

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Tags: Computer science, Neural Computing, Review, Xbox 360

July 14, 2011 by hgpu

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Dimitris Bouris, Antonis Nikitakis, Ioannis Papaefstathiou

Tags: Computer vision, FPGA, Image processing

July 14, 2011 by hgpu

Computing spike-based convolutions on GPUs

Jayram Moorkanikara Nageswaran, Nikil Dutt, Yingxue Wang, Tobi Delbrueck

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, Sensing

July 14, 2011 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

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high performance computing on graphics processing units: hgpu.org

Applications

Implementation of random linear network coding on OpenGL-enabled graphics cards

Realtime background subtraction from dynamic scenes

hiCUDA: High-Level GPGPU Programming

Focus measurement on programmable graphics hardware for all in-focus rendering from light fields

Feature-based speed limit sign detection using a graphics processing unit

Mars: Accelerating MapReduce with Graphics Processors

Quality comparison and acceleration for digital hologram generation method based on segmentation

Full-Parallax Hologram Synthesis of Triangular Meshes using a Graphical Processing Unit

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

A Survey of Neural Computation on Graphics Processing Hardware

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Computing spike-based convolutions on GPUs

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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