high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Physics

GPU Accelerated Discrete Element Method (DEM) Molecular Dynamics for Conservative, Faceted Particle Simulations

Matthew Spellings, Ryan L. Marson, Joshua A. Anderson, Sharon C. Glotzer

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia Quadro M 6000, Package, Particle simulation, Physics

July 13, 2016 by hgpu

GPU Based Detection of Topological Changes in Voronoi Diagrams

Massimo Bernaschi, Matteo Lulli, Mauro Sbragaglia

View

Download (PDF)

Tags: Computational Physics, Condensed matter, CUDA, Lattice Boltzmann model, nVidia, Physics, Soft Condensed Matter, Voronoi diagram

July 8, 2016 by hgpu

GPU Based Real-Time Welding Simulation with Smoothed-Particle Hydrodynamics

Qing Gu

View

Download (PDF)

Tags: cfd, CUDA, Fluid dynamics, nVidia, OpenGL, Physics, Thesis

June 28, 2016 by hgpu

Electric potential and field calculation of charged BEM triangles and rectangles by Gaussian cubature

Ferenc Gluck, Daniel Hilk

View

Download (PDF)

Tags: Computational Physics, nVidia, OpenCL, Physics, Tesla K40

June 16, 2016 by hgpu

First Application of Lattice QCD to Pezy-SC Processor

Tatsumi Aoyama, Ken-Ichi Ishikawa, Yasuyuki Kimura, Hideo Matsufuru, Atsushi Sato, Tomohiro Suzuki, Sunao Torii

View

Download (PDF)

Tags: High Energy Physics - Lattice, Matrix multiplication, OpenCL, Physics, QCD

June 14, 2016 by hgpu

Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond

Erik Zenker, Rene Widera, Axel Hubl, Guido Juckeland, Andreas Knupfer, Wolfgang E. Nagel, Michael Bussmann

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenMP, Package, Particle-in-cell methods, Physics, Plasma physics, Programming techniques, Tesla K80

June 14, 2016 by hgpu

Multi-threaded Geant4 on the Xeon-Phi with Complex High-Energy Physics Geometry

Steven Farrell, Andrea Dotti, Makoto Asai, Paolo Calafiura, Romain Monnard

View

Download (PDF)

Tags: Benchmarking, Computational Physics, High Energy Physics - Experiment, Intel Xeon Phi, Physics

May 28, 2016 by hgpu

Faster GPU-based convolutional gridding via thread coarsening

Bruce Merry

View

Download (PDF)

Tags: Algorithms, AMD Radeon R9 290X, Astrophysics, ATI, Computer science, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 980, OpenCL

May 26, 2016 by hgpu

pyJac: analytical Jacobian generator for chemical kinetics

Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung

View

Download (PDF)

Source codes

Tags: Algorithms, Computational Physics, CUDA, Differential equations, Finite difference, nVidia, Package, Physics, Python, Tesla C2075

May 17, 2016 by hgpu

A smooth particle hydrodynamics code to model collisions between solid, self-gravitating objects

Christoph M. Schafer, Sven Riecker, Thomas I. Maindl, Roland Speith, Samuel Scherrer, Wilhelm Kley

View

Download (PDF)

Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, nVidia, nVidia GeForce GTX 770, nVidia GeForce GTX Titan, nVidia GeForce GTX Titan X, Tesla K40, Tesla K80

April 14, 2016 by hgpu

A generalized GPU-based connected component labeling algorithm

Yukihiro Komura

View

Download (PDF)

Tags: Algorithms, Computational Physics, CUDA, nVidia, nVidia GeForce GTX Titan X, Physics

March 29, 2016 by hgpu

Acceleration of ensemble machine learning methods using many-core devices

A. Tamerus, A. Washbrook, D. Wyeth

View

Download (PDF)

Tags: Computer science, CUDA, Machine learning, nVidia, Physics, Tesla K40

March 20, 2016 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

GPU Accelerated Discrete Element Method (DEM) Molecular Dynamics for Conservative, Faceted Particle Simulations

GPU Based Detection of Topological Changes in Voronoi Diagrams

GPU Based Real-Time Welding Simulation with Smoothed-Particle Hydrodynamics

Electric potential and field calculation of charged BEM triangles and rectangles by Gaussian cubature

First Application of Lattice QCD to Pezy-SC Processor

Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond

Multi-threaded Geant4 on the Xeon-Phi with Complex High-Energy Physics Geometry

Faster GPU-based convolutional gridding via thread coarsening

pyJac: analytical Jacobian generator for chemical kinetics

A smooth particle hydrodynamics code to model collisions between solid, self-gravitating objects

A generalized GPU-based connected component labeling algorithm

Acceleration of ensemble machine learning methods using many-core devices

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

Most viewed papers (last 30 days)