high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Physics

Multi-mass solvers for lattice QCD on GPUs

A. Alexandru, C. Pelissier, B. Gamari, F. Lee

View

Download (PDF)

Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, QCD

March 29, 2011 by hgpu

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

John C. Quinn, Henry D. I. Abarbanel

View

Download (PDF)

Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Physics, Probability, Statistics

March 28, 2011 by hgpu

Study on Transient Temperature Field Parallel Computing in Cooling Control Based on a GPU Fourier Method

Liang Wang, Yi-sheng Zhang

Tags: CUDA, nVidia, Physics, Thermodynamics

March 27, 2011 by hgpu

Using GPUs for beamforming acceleration on SAFT imaging

D. Romero, O. Martinez-Graullera, C.J. Martin, R.T. Higuti, A. Octavio

Tags: Filtering, Image reconstruction, Physics, Signal processing, Ultrasound

March 24, 2011 by hgpu

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

A. Balevic, L. Rockstroh, A. Tausendfreund, S. Patzelt, G. Goch, S. Simon

Tags: Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, Optics, Physics

March 24, 2011 by hgpu

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Hsi-Yu Schive, Ui-Han Zhang, Tzihong Chiueh

View

Download (PDF)

Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenMP, Tesla C2050

March 18, 2011 by hgpu

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

M. Bernaschi, G. Parisi, L. Parisi

Source codes

Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

March 9, 2011 by hgpu

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Sandra Diaz-Pier, Salvador E. Venegas-Andraca, Jose Luis Gomez-Munoz

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Physics, Quantum Physics, SAT, Symbolic Computation

March 9, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

View

Download (PDF)

Source codes

Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

View

Download (PDF)

Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 2011 by hgpu

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz, Manuel Tiglio, Gustavo Guerberoff

View

Download (PDF)

Tags: CUDA, General Relativity and Quantum Cosmology, GPU cluster, nVidia, Physics

March 6, 2011 by hgpu

Building Correlators with Many-Core Hardware

Rob V. van Nieuwpoort and John W. Romein

View

Download (PDF)

Tags: Astrophysics, ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Cell processor, CUDA, nVidia, Physics, Signal processing, Tesla C1060

March 3, 2011 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Multi-mass solvers for lattice QCD on GPUs

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

Study on Transient Temperature Field Parallel Computing in Cooling Control Based on a GPU Fourier Method

Using GPUs for beamforming acceleration on SAFT imaging

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

General-purpose molecular dynamics simulations on GPU-based clusters

Application-guided tool development for architecturally diverse computation

Statistical constraints on binary black hole inspiral dynamics

Building Correlators with Many-Core Hardware

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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

Most viewed papers (last 30 days)