high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Physics

Efficient molecular dynamics simulations with many-body potentials on graphics processing units

Zheyong Fan, Wei Chen, Ville Vierimaa, Ari Harju

View

Download (PDF)

Tags: Computational Physics, CUDA, Materials Science, Molecular dynamics, nVidia, Physics, Tesla K40

October 15, 2016 by hgpu

Efficient and portable acceleration of quantum chemical many-body methods in mixed floating point precision using OpenACC compiler directives

Janus Juul Eriksen

View

Download (PDF)

Tags: Chemical Physics, Chemistry, Mixed precision, nVidia, OpenACC, Physics, Tesla K40

September 27, 2016 by hgpu

Finding faint HI structure in and around galaxies: scraping the barrel

D. Punzo, J.M. van der Hulst, J.B.T.M. Roerdink

View

Download (PDF)

Source codes

Tags: Astrophysics, Filtering, Image processing, nVidia, nVidia GeForce GTX 860 M, OpenGL, OpenMP, Package, Visualization

September 17, 2016 by hgpu

An efficient numerical method for solving the Boltzmann equation in multidimensions

Giacomo Dimarco, Raphael Loubere, Jacek Narski, Thomas Rey

View

Download (PDF)

Tags: Algorithms, Boltzmann equation, cfd, CUDA, Fluid dynamics, Mathematics, MPI, Numerical Analysis, nVidia, OpenMP, Physics

September 13, 2016 by hgpu

QSL Squasher: A Fast Quasi-Separatrix Layer Map Calculator

Svetlin Tassev, Antonia Savcheva

View

Download (PDF)

Source codes

Tags: AMD FirePro W8100, Astrophysics, ATI, OpenCL, Package, Solar and Stellar Astrophysics

September 8, 2016 by hgpu

Flux tubes at Finite Temperature

Pedro Bicudo, Nuno Cardoso, Marco Cardoso

View

Download (PDF)

Tags: CUDA, High Energy Physics - Lattice, nVidia, Phase transition, Physics, QCD

August 31, 2016 by hgpu

Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs

Christopher P. Stone, Kyle E. Niemeyer

View

Download (PDF)

Tags: Computational Physics, Computer science, Differential equations, Intel Xeon Phi, nVidia, ODEs, OpenCL, Ordinary differential equations, Physics, Tesla K20

August 28, 2016 by hgpu

Massively parallel simulations of relativistic fluid dynamics on graphics processing units with CUDA

Dennis Bazow, Ulrich W. Heinz, Michael Strickland

View

Download (PDF)

Tags: Algorithms, Computational Physics, CUDA, Fluid dynamics, High Energy Physics - Phenomenology, Intel Xeon Phi, Nuclear Theory, nVidia, nVidia GeForce GTX 560 M, nVidia GeForce GTX 980 Ti, nVidia GeForce GTX Titan Z, Physics

August 28, 2016 by hgpu

Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing

Igor Surmin, Sergey Bastrakov, Zakhar Matveev, Evgeny Efimenko, Arkady Gonoskov, Iosif Meyerov

View

Download (PDF)

Tags: Computational Physics, Intel Xeon Phi, OpenMP, Particle-in-cell methods, Physics, Plasma physics

August 8, 2016 by hgpu

3D visualization of astronomy data cubes using immersive displays

Gilles Ferrand, Jayanne English, Pourang Irani

View

Download (PDF)

Source codes

Tags: Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, OpenGL, Package, Rendering, Virtual reality, Visualization

August 1, 2016 by hgpu

An Optimized Multiple Right-Hand Side Dslash Kernel for Intel Xeon Phi

Aaron Walden

View

Download (PDF)

Tags: High Energy Physics - Lattice, Intel Xeon Phi, Physics, QCD, Thesis

July 28, 2016 by hgpu

PASSATA – Object oriented numerical simulation software for adaptive optics

G. Agapito, A. Puglisi, S. Esposito

View

Download (PDF)

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Numerical simulation, nVidia, Optics

July 28, 2016 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Efficient molecular dynamics simulations with many-body potentials on graphics processing units

Efficient and portable acceleration of quantum chemical many-body methods in mixed floating point precision using OpenACC compiler directives

Finding faint HI structure in and around galaxies: scraping the barrel

An efficient numerical method for solving the Boltzmann equation in multidimensions

QSL Squasher: A Fast Quasi-Separatrix Layer Map Calculator

Flux tubes at Finite Temperature

Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs

Massively parallel simulations of relativistic fluid dynamics on graphics processing units with CUDA

Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing

3D visualization of astronomy data cubes using immersive displays

An Optimized Multiple Right-Hand Side Dslash Kernel for Intel Xeon Phi

PASSATA – Object oriented numerical simulation software for adaptive optics

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Most viewed papers (last 30 days)