high performance computing on graphics processing units: hgpu.org

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Engineering Concurrent Software Guided by Statistical Performance Analysis

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

Improving the speed of neural networks on CPUs

Vincent Vanhoucke, Andrew Senior, Mark Z. Mao

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Tags: Computer science, CUDA, Neural networks, nVidia, Speech recognition, Tesla C2070, Tutorial

December 28, 2011 by hgpu

Multilevel Tile Load Map on Massive Terrain Visualization

Junlan Nie, Dongliang Guo, Yanfen Wang, Lingfu Kong, Yong Tang

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Tags: Algorithms, Computer science, GLSL, Image processing, nVidia, nVidia GeForce GT 240 M, OpenGL, Optimization, Rendering, Visualization

December 28, 2011 by hgpu

GPU-Based Global Illumination Using Lightcuts

Tong Zhang

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Tesla C1060, Thesis

December 28, 2011 by hgpu

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Zheng Wei, Joseph JaJa

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Heterogeneous systems, nVidia, Tesla C1060

December 28, 2011 by hgpu

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Jason Chang, Mi-Yen Yeh

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

December 28, 2011 by hgpu

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Naiyong Ao, Fan Zhang, Di Wu, Douglas S. Stones, Gang Wang, Xiaoguang Liu, Jing Liu, Sheng Lin

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Tags: Algorithms, Compression, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

December 28, 2011 by hgpu

Real-Time Rendering of Temporal Volumetric Data on a GPU

Biao She, Pierre Boulanger, Michelle Noga

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Tags: Cg, Computer science, nVidia, nVidia Quadro FX 5800, Rendering

December 28, 2011 by hgpu

PFAC Library: GPU-based string matching algorithm

Chen-Hsiung Liu, Lung-Sheng Chien, Shih-Chieh Chang, Wing-Kai Hon

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, String matching

December 27, 2011 by hgpu

A GPU Accelerated High Performance Cloud Computing Infrastructure for Grid Computing Based Virtual Environmental Laboratory

Francisco Giunta, Raffaele Montella, Giuliano Laccetti, Florin Isaila, Francisco Javier Garcia Blas

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Tags: Cloud, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 9400 GT, Security, Virtualization

December 27, 2011 by hgpu

Enabling New Uses for GPUs

Matthew D. Sinclair

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

December 27, 2011 by hgpu

MIDeA: a multi-parallel intrusion detection architecture

Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Pattern Search, Security

December 27, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

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

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

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high performance computing on graphics processing units: hgpu.org

Engineering Concurrent Software Guided by Statistical Performance Analysis

Improving the speed of neural networks on CPUs

Multilevel Tile Load Map on Massive Terrain Visualization

GPU-Based Global Illumination Using Lightcuts

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Real-Time Rendering of Temporal Volumetric Data on a GPU

PFAC Library: GPU-based string matching algorithm

Enabling New Uses for GPUs

MIDeA: a multi-parallel intrusion detection architecture

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

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

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

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