high performance computing on graphics processing units: hgpu.org

Applications

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Exploratory Data Analysis of Software Repositories via GPU Processing

Jose Ricardo da Silva Junior, Esteban Clua, Leonardo Murta, Anita Sarma

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Tags: Computer science, CUDA, Exploratory data analysis, nVidia, nVidia GeForce GTX 580

September 15, 2014 by hgpu

Interactive Wave Simulations

Akash Mittal

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Review, Thesis, Visualization

September 15, 2014 by hgpu

Scalable Multi-GPU Simulation of Long-Range Molecular Dynamics

Marcos Novalbos, Jaime Gonzalez, Miguel A. Otaduy, Roberto Martinez Benito, Alberto Sanchez

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Tags: Algorithms, Biomolecules, Chemistry, CUDA, Electrostatic potential, Electrostatics, FFT, Molecular dynamics, Multilevel summation, N-body simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX Titan

September 15, 2014 by hgpu

Accelerated Variance Reduction Methods on GPU

Chuan-Hsiang Han, Yu-Tuan Lin

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Tags: Algorithms, Computational finance, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 690, Option pricing, Probability

September 15, 2014 by hgpu

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Li-Wen Chang

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050, Thesis

September 15, 2014 by hgpu

Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi

Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, Jose M. Cecilia, Horacio Perez-Sanchez

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Tags: Bioinformatics, Biology, CUDA, Electrostatics, Intel Xeon Phi, nVidia, Performance, Pharmaceuticals, Tesla K20

September 13, 2014 by hgpu

Parallel CYK Membership Test on GPUs

Kyoung-Hwan Kim, Sang-Min Choi, Hyein Lee, Ka Lok Man, Yo-Sub Han

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

September 13, 2014 by hgpu

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Makoto Sadahiro

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Tags: Acoustics, CUDA, Finite difference, Fortran, nVidia, Physics, Tesla K20, Thesis

September 13, 2014 by hgpu

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Yue Wang

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Tags: Computer science, CUDA, GPGPU-sim, Heterogeneous systems, nVidia, Thesis

September 13, 2014 by hgpu

HTML5 WebSocket protocol and its application to distributed computing

Gabriel L. Muller

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Tags: Computer science, Distributed computing, Heterogeneous systems, OpenCL, Thesis

September 13, 2014 by hgpu

Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets

Elena Aragon, Juan M. Jimenez, Arian Maghazeh, Jim Rasmusson, Unmesh D. Bordoloi

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Tags: Algorithms, ARM, Computer science, Embedded high-performance computing, OpenCL, Pattern Search

September 11, 2014 by hgpu

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Jin Wang, Sudhakar Yalamanchili

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX Titan, Tesla K20, Tesla K40

September 11, 2014 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

Applications

Exploratory Data Analysis of Software Repositories via GPU Processing

Interactive Wave Simulations

Scalable Multi-GPU Simulation of Long-Range Molecular Dynamics

Accelerated Variance Reduction Methods on GPU

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi

Parallel CYK Membership Test on GPUs

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Performance and Power Optimization of GPU Architectures for General-purpose Computing

HTML5 WebSocket protocol and its application to distributed computing

Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

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)