high performance computing on graphics processing units: hgpu.org

hgpu.org » Fortran

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Donald K. Berry, Joseph Schuchart, Robert Henschel

View

Download (PDF)

Tags: CUDA, Fortran, Molecular dynamics, MPI, nVidia, OpenACC, Physics, Tesla K20

December 19, 2013 by hgpu

Investigating the use of GPUs with a Monte Carlo Astrophysical Simulation

James S. Willis

View

Download (PDF)

Tags: Astrophysics, CUDA, Fortran, GPU cluster, nVidia, Tesla C2050, Thesis

November 25, 2013 by hgpu

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Kirana Kumara P

View

Download (PDF)

Source codes

Tags: Computational Physics, Computer science, CUDA, Fortran, Mathematical Software, Medical Physics, MPI, nVidia, nVidia Quadro 4000, Package

November 19, 2013 by hgpu

The discrete dipole approximation code DDscat.C++: features, limitations and plans

V. Ya. Choliy

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Fortran, nVidia, nVidia GeForce GTX 260, Package

September 4, 2013 by hgpu

Tight Binding Molecular Dynamics on CPU and GPU clusters

Dimitar Pashov

View

Download (PDF)

Tags: Algorithms, CUDA, Electrostatics, Fortran, GPU cluster, Linear Algebra, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

August 23, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

View

Download (PDF)

Source codes

Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

An Investigation of the Performance Portability of OpenCL

S.J. Pennycook, S.D. Hammond, S.A. Wright, J.A. Herdman, I. Miller, S.A. Jarvis

View

Download (PDF)

Source codes

Tags: ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, Fortran, MPI, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

May 21, 2013 by hgpu

Fast computation of MadGraph amplitudes on graphics processing unit (GPU)

K. Hagiwara, J. Kanzaki, Q. Li, N. Okamura, T. Stelzer

View

Download (PDF)

Tags: Computational Physics, CUDA, Fortran, Monte Carlo integration, nVidia, Physics, Pseudo-random number generators, QCD, Tesla C2075

May 6, 2013 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

A GPU Approach to Fortran Legacy Systems

Mariano Mendez, Fernando G. Tinetti

View

Download (PDF)

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

October 29, 2012 by hgpu

GPU Accelerated Lambert Solution Methods for the Orbital Targeting Problem

Sam Wagner, Bong Wie

View

Download (PDF)

Tags: Astrophysics, CUDA, Earth and Space Sciences, Fortran, nVidia, Tesla C2060

September 25, 2012 by hgpu

Multi-GPU implementation of the NICAM atmospheric model

Irina Demeshko, Naoya Maruyama, Hirofumi Tomita, Satoshi Matsuoka

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, Tesla M2050

September 13, 2012 by hgpu

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Investigating the use of GPUs with a Monte Carlo Astrophysical Simulation

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

The discrete dipole approximation code DDscat.C++: features, limitations and plans

Tight Binding Molecular Dynamics on CPU and GPU clusters

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

An Investigation of the Performance Portability of OpenCL

Fast computation of MadGraph amplitudes on graphics processing unit (GPU)

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

A GPU Approach to Fortran Legacy Systems

GPU Accelerated Lambert Solution Methods for the Orbital Targeting Problem

Multi-GPU implementation of the NICAM atmospheric model

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Most viewed papers (last 30 days)