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Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms

Yash Ukidave, David Kaeli

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Tags: Algorithms, ATI, ATI Radeon HD 7770, Computer science, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Power-efficient computing

August 10, 2013 by hgpu

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Cheuk Yiu Ip, M. Adil Yalcin, David Luebke, Amitabh Varshney

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580, OpenGL, Rasterization

August 10, 2013 by hgpu

Sequence Data Indexing Method Exploiting the Parallel Processing Resources of GPGPU

Taehwan Kim, Seokil Song, Dojin Choi, Yunsik Kwak, Bongen Goo

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 670

August 10, 2013 by hgpu

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

Benjamin Adler, Junhao Xiao, Jianwei Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 670, nVidia Quadro 2000, OpenGL, Package, Particle simulation

August 10, 2013 by hgpu

High-Performance Holistic XML Twig Filtering Using GPUs

Ildar Absalyamov, Roger Moussalli, Walid Najjar, Vassilis Tsotras

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Tags: Computer science, CUDA, Filtering, nVidia, Tesla C2075, Tesla K20

August 9, 2013 by hgpu

An Energy Optimization of a GPU Application by Grid Design Space Exploration

Hana Park, Jungmin So, Young-Woong Ko, Jeong-Gun Lee

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Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, nVidia, nVidia GeForce GTX 660

August 8, 2013 by hgpu

Levy Flights for Particle Swarm Optimisation Algorithms on Graphical Processing Units

A. V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Particle swarm optimization

August 8, 2013 by hgpu

Compiler-based Data Prefetching and Streaming Non-temporal Store Generation for the Intel Xeon Phi Coprocessor

Rakesh Krishnaiyer, Emre Kultursay, Pankaj Chawla, Serguei Preis, Anatoly Zvezdin, Hideki Saito

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Tags: Compilers, Computer science, Intel, Intel Phi, Prefetch

August 8, 2013 by hgpu

Improving the GPU space of computation under triangular domain problems

Cristobal A. Navarro, Nancy Hitschfeld

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

August 8, 2013 by hgpu

Exploring Microcontrollers in GPUs

Yusuke Fujii, Takuya Azumi, Nobuhiko Nishio, Shinpei Kato

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce GTX 480

August 7, 2013 by hgpu

Automatic Skeleton-Based Compilation through Integration with an Algorithm Classification

Cedric Nugteren, Pieter Custers, Henk Corporaal

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL, OpenMP

August 7, 2013 by hgpu

2D Triangulation of Polygons on CUDA

Shadi Alawneh, Dennis Peters

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 7900 GTX

August 6, 2013 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

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high performance computing on graphics processing units: hgpu.org

Applications

Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Sequence Data Indexing Method Exploiting the Parallel Processing Resources of GPGPU

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

High-Performance Holistic XML Twig Filtering Using GPUs

An Energy Optimization of a GPU Application by Grid Design Space Exploration

Levy Flights for Particle Swarm Optimisation Algorithms on Graphical Processing Units

Compiler-based Data Prefetching and Streaming Non-temporal Store Generation for the Intel Xeon Phi Coprocessor

Improving the GPU space of computation under triangular domain problems

Exploring Microcontrollers in GPUs

Automatic Skeleton-Based Compilation through Integration with an Algorithm Classification

2D Triangulation of Polygons on CUDA

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

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