high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

Paul Martinsen, Johannes Blaschke, Rainer Kunnemeyer and Robert Jordan

View

Download (PDF)

Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Physics

December 16, 2010 by hgpu

OpenMM: A Hardware-Independent Framework for Molecular Simulations

Peter Eastman, Vijay Pande

Source codes

Tags: Chemistry, Computational chemistry, Molecular modeling, Package

December 16, 2010 by hgpu

A massively multicore parallelization of the Kohn-Sham energy gradients

Philip Brown, Christopher J. Woods, Simon McIntosh-Smith, Frederick R. Manby

Tags: Chemistry, Computational chemistry, Molecular modeling

December 16, 2010 by hgpu

Real-time optical micro-manipulation using optimized holograms generated on the GPU

S. Bianchi, R. Di Leonardo

View

Download (PDF)

Tags: Computer holography, CUDA, nVidia, nVidia GeForce GTX 260, Optics, Physics

December 16, 2010 by hgpu

Revolutionary technologies for acceleration of emerging petascale applications

Rupak Biswas, Leonid Oliker and Jeffrey Vetter

View

Download (PDF)

Tags: Computer science, Programming techniques

December 16, 2010 by hgpu

GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver

Dominik Goddeke, Sven H.M. Buijssen, Hilmar Wobker and Stefan Turek

View

Download (PDF)

Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX

December 16, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

View

Download (PDF)

Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Dominik Goddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Sven H.M. Buijssen, Matthias Grajewski and Stefan Turek

View

Download (PDF)

Tags: Computer science, Finite element method, GPU cluster, MPI, nVidia, nVidia Quadro FX 5600

December 16, 2010 by hgpu

Scientific Programming for Heterogeneous Systems – Bridging the Gap between Algorithms and Applications

Alexey Lastovetsky

View

Download (PDF)

Tags: Algorithms, Computer science, Data parallelism

December 15, 2010 by hgpu

An effective GPU implementation of breadth-first search

Lijuan Luo, Martin Wong, Wen M. Hwu

View

Download (PDF)

Tags: Algorithms, Computer science, Search

December 15, 2010 by hgpu

High-throughput Bayesian network learning using heterogeneous multicore computers

Michael D. Linderman, Robert Bruggner, Vivek Athalye, Teresa H. Meng, Narges B. Asadi, Garry P. Nolan

View

Download (PDF)

Tags: Algorithms, CUDA, GPU cluster, Mathematics, nVidia, nVidia GeForce GTX 285, Statistics, Tesla C1060, Tesla S1070

December 15, 2010 by hgpu

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Scott Christley, Briana Lee, Xing Dai, Qing Nie

View

Download (PDF)

Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 285

December 15, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

OpenMM: A Hardware-Independent Framework for Molecular Simulations

A massively multicore parallelization of the Kohn-Sham energy gradients

Real-time optical micro-manipulation using optimized holograms generated on the GPU

Revolutionary technologies for acceleration of emerging petascale applications

GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Scientific Programming for Heterogeneous Systems – Bridging the Gap between Algorithms and Applications

An effective GPU implementation of breadth-first search

High-throughput Bayesian network learning using heterogeneous multicore computers

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)