high performance computing on graphics processing units: hgpu.org

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DL: A data layout transformation system for heterogeneous computing

I-Jui Sung, Geng Daniel Liu, Wen-Mei W. Hwu

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Package

November 1, 2012 by hgpu

An Intermediate Library for Multi-GPUs Computing Skeletons

Le Duc Tung, Nguyen Huu Duc, Pham Tuan Anh, Ngo Huy Hoang, Nguyen Minh Thap

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Tags: Code generation, Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 295

November 1, 2012 by hgpu

Speeding up the evaluation of evolutionary learning systems using GPGPUs

Maria Franco, Natalio Krasnogor, Jaume Bacardit

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Tags: BioHEL, Evolutionary Computations, LCS, Learning Classifier System, Machine learning, Tesla C1060

November 1, 2012 by mariaux

Efficient Pattern-Based Time Series Classification on GPU

Kai-Wei Chang, Biplab Deka, Wen-Mei W. Hwu, Dan Roth

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

October 31, 2012 by hgpu

Parallel Genetic Programming on Graphics Processing Units

Douglas A. Augusto, Heder S. Bernardino, Helio J.C. Barbosa

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Tags: Algorithms, Computer science, Genetic programming, OpenCL, Optimization, Review

October 31, 2012 by hgpu

Impact of GPU Memory Access Patterns on FDTD

Matthew Livesey, James F. Stack Jr., Fumie Costenz, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

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Tags: Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Performance, Tesla M2050

October 30, 2012 by hgpu

Characterization and Exploitation of GPU Memory Systems

Kenneth Sydney Lee

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Tags: AMD Fusion, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Computer science, Memory model, nVidia, nVidia GeForce GTX 280, OpenCL, Performance, Tesla C2075, Thesis

October 30, 2012 by hgpu

A GPU Approach to Fortran Legacy Systems

Mariano Mendez, Fernando G. Tinetti

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Tags: Computer science, CUDA, Fortran, nVidia, OpenACC, Programming techniques, Tesla C2075

October 29, 2012 by hgpu

Silhouette Extraction using Graphics Processing Units

Kristian Haga Karstensen

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package, Thesis

October 29, 2012 by hgpu

Three dimensional tracking of gold nanoparticles using digital holographic microscopy

Frederic Verpillat, Fadwa Joud, Pierre Desbiolles, Michel Gross

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Tags: Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, Optics, Pattern recognition, Physics

October 28, 2012 by hgpu

Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping

Daniel Jonsson, Joel Kronander, Timo Ropinski, Anders Ynnerman

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, Rendering

October 28, 2012 by hgpu

Analysis & Design of Efficient Cryptographic Systems

Michael Lehmann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Security, Stream Ciphers

October 28, 2012 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

DL: A data layout transformation system for heterogeneous computing

An Intermediate Library for Multi-GPUs Computing Skeletons

Speeding up the evaluation of evolutionary learning systems using GPGPUs

Efficient Pattern-Based Time Series Classification on GPU

Parallel Genetic Programming on Graphics Processing Units

Impact of GPU Memory Access Patterns on FDTD

Characterization and Exploitation of GPU Memory Systems

A GPU Approach to Fortran Legacy Systems

Silhouette Extraction using Graphics Processing Units

Three dimensional tracking of gold nanoparticles using digital holographic microscopy

Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping

Analysis & Design of Efficient Cryptographic Systems

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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