high performance computing on graphics processing units: hgpu.org

Applications

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Arbitrary dimension Reed-Solomon coding and decoding for extended RAID on GPUs

Matthew L. Curry, Anthony Skjellum, H. Lee Ward, Ron Brightwell

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Tags: Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 260, Security

July 17, 2011 by hgpu

Linpack evaluation on a supercomputer with heterogeneous accelerators

Toshio Endo, Akira Nukada, Satoshi Matsuoka, Naoya Maruyama

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Tags: Benchmarking, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla S1070

July 17, 2011 by hgpu

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Behzad Sajadi, Maxim Lazarov, M. Gopi, Aditi Majumder

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Tags: Algorithms, Image processing, Visualization

July 17, 2011 by hgpu

Workload Characterization of 3D Games

Jordi Roca, Victor Moya, Carlos Gonzalez, Chema Solis, Agustin Fernandez, Roger Espasa

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Tags: ATI, ATI Radeon 9800, Computer science, DirectX, Games, OpenGL, Performance

July 17, 2011 by hgpu

Performance improvements of real-time crowd simulations

Guillermo Vigueras, Juan M. Orduna, Miguel Lozano

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Tags: Algorithms, Computer science, Rendering

July 17, 2011 by hgpu

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

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

Peter Kehoe, Alan F. Smeaton

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 7800 GT, OpenGL

July 17, 2011 by hgpu

hiCUDA: High-Level GPGPU Programming

Tianyi David Han, Tarek S. Abdelrahman

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Source codes

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

July 17, 2011 by hgpu

Highly parallel decoding of space-time codes on graphics processing units

Kalyana C. Bollapalli, Yiyue Wu, Kanupriya Gulati, Sunil Khatri, A. Robert Calderbank

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Tags: CUDA, nVidia, nVidia GeForce GTX 280, Signal processing, Tesla C1060, Wireless baseband architecture

July 17, 2011 by hgpu

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Jungsuk Kim, Kisun You, Wonyong Sung

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Tags: CUDA, nVidia, nVidia GeForce GTX 285, Signal processing, Speech recognition

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

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

Arbitrary dimension Reed-Solomon coding and decoding for extended RAID on GPUs

Linpack evaluation on a supercomputer with heterogeneous accelerators

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Workload Characterization of 3D Games

Performance improvements of real-time crowd simulations

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

Realtime background subtraction from dynamic scenes

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

hiCUDA: High-Level GPGPU Programming

Highly parallel decoding of space-time codes on graphics processing units

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

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

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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