high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Multi-layer depth peeling via fragment sort

Baoquan Liu, Li-Yi Wei, Ying-Qing Xu, Enhua Wu

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Tags: Algorithms, Computer science, HLSL, nVidia, nVidia GeForce 6800, Rendering, Sorting

August 10, 2011 by hgpu

A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

John Plate, Thorsten Holtkaemper, Bernd Froehlich

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

August 10, 2011 by hgpu

Real-time continuum grass

Kan Chen, Henry Johan

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4850, Computer science, DirectX, nVidia, nVidia GeForce 8600 GTS, Virtual reality

August 10, 2011 by hgpu

Performance evaluation and optimization of random memory access on multicores with high productivity

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 4600, Optimization

August 10, 2011 by hgpu

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Peter Kuchnio, David W. Capson

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

August 10, 2011 by hgpu

Approaches for parallelizing reductions on modern GPUs

Xin Huo, V.T. Ravi, Wenjing Ma, G. Agrawal

Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia

August 10, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh, Ruth Pordes

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array

Yuichi Taguchi, Keita Takahashi, Takeshi Naemura

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Tags: Algorithms, Cg, Computer science, Image generation, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Real-time graphics, Rendering

August 9, 2011 by hgpu

Performance Evaluation of Feature Extraction Algorithm on GPGPU

Namdev Sawant, Dinesh Kulkarni

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, Tesla C1060

August 9, 2011 by hgpu

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Chong Ding, Christer Karlsson, Hui Liu, Teresa Davies, Zizhong Chen

Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

August 9, 2011 by hgpu

Optimization of parallel Genetic Algorithms for nVidia GPUs

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming, nVidia, Optimization, Review, Tesla C1060

August 9, 2011 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Multi-layer depth peeling via fragment sort

A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets

Real-time continuum grass

Performance evaluation and optimization of random memory access on multicores with high productivity

A parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image segmentation

Approaches for parallelizing reductions on modern GPUs

G-NetMon: A GPU-accelerated Network Performance Monitoring System

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array

Performance Evaluation of Feature Extraction Algorithm on GPGPU

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Optimization of parallel Genetic Algorithms for nVidia GPUs

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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

Most viewed papers (last 30 days)