high performance computing on graphics processing units: hgpu.org

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Real time data analysis using GPU for High energy physics experiments

Vikas Singhal

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Tags: CUDA, nVidia, Physics, Tesla C2075, Thesis

July 23, 2012 by hgpu

Parallel-META: efficient metagenomic data analysis based on high-performance computation

Xiaoquan Su, Jian Xu, Kang Ning

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Tags: Biology, Computational biology, CUDA, nVidia, Package, Tesla C2070

July 22, 2012 by hgpu

Dynamic Overset Grid Computations for CFD Applications on Graphics Processing Units

D. Chandar, J. Sitaraman, D. Mavriplis

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Tags: CUDA, Fluid dynamics, nVidia, Optimization, Tesla C2050, Tesla C2070

July 22, 2012 by hgpu

Space-Time Finite Element Analysis on Graphics Processing Unit Computing Platform

Harish Kumar Luckshetty

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Tags: Algorithms, Computer science, CUDA, FEM, Finite element method, nVidia, Tesla C1060, Thesis

July 22, 2012 by hgpu

Efficient Cross-Device Query Processing

Holger Pirk

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

July 22, 2012 by hgpu

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Sandip B. Bansode

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 280, Security, Thesis

July 20, 2012 by hgpu

Implementation of the r.cuda.los module in the open source GRASS GIS by using parallel computation on the NVIDIA CUDA graphic cards

Andrej Osterman

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 560 Ti

July 20, 2012 by hgpu

Scaling CUDA for Distributed Heterogeneous Processors

Siu Kwan Lam

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, MPI, nVidia, Package, PTX, Python, Thesis

July 20, 2012 by hgpu

Projectile Monte-Carlo Trajectory Analysis Using a Graphics Processing Unit

Mark Ilg, Jonathan Rogers, Mark Costello

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Tags: CUDA, Earth and Space Sciences, Monte Carlo simulation, nVidia, Tesla C1060

July 20, 2012 by hgpu

Offloading Critical Security Operations to the GPU

Frank Yi-Fei Wang

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Tags: Computer science, CUDA, nVidia, Security, Thesis

July 18, 2012 by hgpu

Robust GPGPU plugin development for RapidMiner

Andor Kovacs, Zoltan Prekopcsak

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Tags: Algorithms, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, nVidia GeForce GTX 480

July 18, 2012 by hgpu

Fluid Simulation on Surfaces in the GPU

Leonardo Carvalho, Maria Andrade, Luiz Velho

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470

July 18, 2012 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Programming

Real time data analysis using GPU for High energy physics experiments

Parallel-META: efficient metagenomic data analysis based on high-performance computation

Dynamic Overset Grid Computations for CFD Applications on Graphics Processing Units

Space-Time Finite Element Analysis on Graphics Processing Unit Computing Platform

Efficient Cross-Device Query Processing

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Implementation of the r.cuda.los module in the open source GRASS GIS by using parallel computation on the NVIDIA CUDA graphic cards

Scaling CUDA for Distributed Heterogeneous Processors

Projectile Monte-Carlo Trajectory Analysis Using a Graphics Processing Unit

Offloading Critical Security Operations to the GPU

Robust GPGPU plugin development for RapidMiner

Fluid Simulation on Surfaces in the GPU

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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