high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Physics

Multi-Kepler GPU vs. Multi-Intel MIC for spin systems simulations

M. Bernaschi, M. Bisson, F. Salvadore

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUDA, Intel Xeon Phi, nVidia, Package, Performance, Physics, Spin Systems, Tesla K20

February 14, 2014 by hgpu

Minerals detection for hyperspectral images using adapted linear unmixing: LinMin

Schmidt Frederic, Legendre Maxime, Le Mouelic Stephane

View

Download (PDF)

Tags: Algorithms, Astrophysics, CUDA, Earth and Planetary Astrophysics, nVidia, Tesla C2050

February 12, 2014 by hgpu

Yang-Mills lattice on CUDA

Richard Forster, Agnes Fulop

View

Download (PDF)

Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, QCD

February 12, 2014 by hgpu

GPU-based high-performance computing for radiation therapy

Xun Jia, Peter Ziegenhein, Steve B Jiang

View

Download (PDF)

Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 570, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Physics, Radiotherapy, Review, Tesla C1060, Tesla C2050, Tesla C2070

February 9, 2014 by hgpu

A Real-Time, GPU-Based, Non-Imaging Back-End for Radio Telescopes

Alessio Magro

View

Download (PDF)

Tags: Astrophysics, Clustering, CUDA, Instrumentation and Methods for Astrophysics, Intel Xeon Phi, nVidia, Tesla K20, Thesis

February 4, 2014 by hgpu

A Scalable Hybrid FPGA/GPU FX Correlator

J. Kocz, L.J. Greenhill, B.R. Barsdell, G. Bernardi, A. Jameson, J. Craig, D. Price, G.B. Taylor, F. Schinzel, D. Werthimer

View

Download (PDF)

Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, Signal processing, Tesla C2050

February 4, 2014 by hgpu

Parallelization of the Algorithm WHAM with NVIDIA CUDA

Nicolo' Savioli

View

Download (PDF)

Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GT 320 M, Physics, Thesis

February 2, 2014 by hgpu

High energy electromagnetic particle transportation on the GPU

P. Canal, D. Elvira, S. Y. Jun, J. Kowalkowski, M. Paterno, J. Apostolakis

View

Download (PDF)

Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla K20, Tesla M2090

February 2, 2014 by hgpu

A CUDA Monte Carlo simulator for radiation therapy dosimetry based on Geant4

N. Henderson, K. Murakami, K. Amako, M. Asai, T. Aso, A. Dotti, A. Kimura, M. Gerritsen, H. Kurashige, J. Perl, T. Sasaki

View

Download (PDF)

Tags: Algorithms, CUDA, nVidia, Physics, Radiotherapy, Tesla K20

January 30, 2014 by hgpu

A QUDA-branch to compute disconnected diagrams in GPUs

Constantia Alexandrou, Kyriacos Hadjiyiannakou, Giannis Koutsou, Alexei Strelchenko, Alejandro Vaquero

View

Download (PDF)

Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, Physics, QCD, Tesla M2070

January 30, 2014 by hgpu

Finite differences numerical method for two-dimensional superlattice Boltzmann transport equation and case comparison of CPU(C) and GPGPU(CUDA) implementations

Dmitri Priimak

View

Download (PDF)

Tags: Algorithms, Computational Physics, CUDA, Finite difference, Lattice Boltzmann model, Materials Science, nVidia, nVidia GeForce GTX 680, Physics

January 25, 2014 by hgpu

A comparison between parallelization approaches in molecular dynamics simulations on GPUs

Lorenzo Rovigatti, Petr Sulc, Istvan Z. Reguly, Flavio Romano

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Package, Physics, Soft Condensed Matter, Tesla C2070, Tesla K10, Tesla K20

January 23, 2014 by hgpu

* * *

Clava: C/C++ Source-to-Source Tool based on Clang

Challenges and Opportunities in C/C++ Source-To-Source Compilation

gpuLik

Statistical Computing With Graphics Processing Units

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

BAT: A standardized benchmark suite for auto-tuners

Towards a Benchmarking Suite for Kernel Tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

EvoTorch: Scalable Evolutionary Computation in Python

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators

RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Multi-Kepler GPU vs. Multi-Intel MIC for spin systems simulations

Minerals detection for hyperspectral images using adapted linear unmixing: LinMin

Yang-Mills lattice on CUDA

GPU-based high-performance computing for radiation therapy

A Real-Time, GPU-Based, Non-Imaging Back-End for Radio Telescopes

A Scalable Hybrid FPGA/GPU FX Correlator

Parallelization of the Algorithm WHAM with NVIDIA CUDA

High energy electromagnetic particle transportation on the GPU

A CUDA Monte Carlo simulator for radiation therapy dosimetry based on Geant4

A QUDA-branch to compute disconnected diagrams in GPUs

Finite differences numerical method for two-dimensional superlattice Boltzmann transport equation and case comparison of CPU(C) and GPGPU(CUDA) implementations

A comparison between parallelization approaches in molecular dynamics simulations on GPUs

Recent source codes

Clava: C/C++ Source-to-Source Tool based on Clang

gpuLik

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

BAT: A standardized benchmark suite for auto-tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators

RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing

Most viewed papers (last 30 days)