high performance computing on graphics processing units: hgpu.org

Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Pier Stanislao Paolucci, Davide Rossetti, Andrea Salamon, Gaetano Salina, Francesco Simula, Laura Tosoratto, Piero Vicini

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Tags: Computational Physics, Distributed computing, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, OpenMPI, Physics, QCD, Tesla C1060, Tesla M2050

February 21, 2011 by hgpu

Optimization of HEP codes on GPUs

M. Al-Turany

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce 8400 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 480, nVidia Quadro NVS 290, Optimization, Physics, Tesla C1060

February 18, 2011 by hgpu

Fully accelerating quantum Monte Carlo simulations of real materials on GPU clusters

Kenneth P. Esler, Jeongnim Kim, David M. Ceperley

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Tags: CUDA, GPU cluster, Monte Carlo simulation, MPI, nVidia, Package, Physics, QMC, Tesla T10

February 18, 2011 by hgpu

Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

Daniel P. Campbell, Daniel A. Cook

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Tags: CUDA, Image reconstruction, nVidia, Physics, Tesla S1070

February 16, 2011 by hgpu

MuMax: a new high-performance micromagnetic simulation tool

Arne Vansteenkiste, Ben Van de Wiele

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Tags: Computational Physics, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Package, Physics

February 16, 2011 by hgpu

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

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high performance computing on graphics processing units: hgpu.org

Building Correlators with Many-Core Hardware

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

SU(2) Lattice Gauge Theory Simulations on Fermi GPUs

Algebraic 3D Reconstruction of Planetary Nebulae

GPU Acceleration of the Generalized Interpolation Material Point Method

APEnet+: high bandwidth 3D torus direct network for petaflops scale commodity clusters

Optimization of HEP codes on GPUs

Fully accelerating quantum Monte Carlo simulations of real materials on GPU clusters

Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

MuMax: a new high-performance micromagnetic simulation tool

Recent source codes

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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