high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C1060

Enabling Computational Dynamics in Distributed Computing Environments Using a Heterogeneous Computing Template

Dan Negrut, Toby Heyn, Andrew Seidl, Dan Melanz, David Gorsich, David Lamb

View

Tags: Collision detection, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C1060, Visualization

October 20, 2011 by hgpu

A high performance computing framework for physics-based modeling and simulation of military ground vehicles

Dan Negrut, David Lamb, David Gorsich

View

Download (PDF)

Tags: Algorithms, Collision detection, CUDA, Distributed computing, Heterogeneous systems, nVidia, Physics, Tesla C1060

October 20, 2011 by hgpu

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

Siegfried Benkner, Sabri Pllana, Jesper Larsson Traff, Philippas Tsigas, Uwe Dolinsky, Cedric Augonnet, Beverly Bachmayer, Christoph Kessler, David Moloney, Vitaly Osipov

View

Download (PDF)

Tags: Code generation, Computer science, Heterogeneous systems, Hybrid computing, nVidia, OpenCL, Tesla C1060

October 20, 2011 by hgpu

Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method

Jose M. Dominguez, Alejandro J.C. Crespo, Moncho Gomez-Gesteira

View

Download (PDF)

Tags: Computational Engineering, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, OpenMP, Optimization, Performance, Tesla C1060

October 18, 2011 by hgpu

Magneto-hydrodynamics simulation in astrophysics

Bijia Pang

View

Download (PDF)

Tags: Algorithms, Astrophysics, CUDA, Fortran, Heterogeneous systems, Magnetohydrodynamics, nVidia, OpenCL, Physics, Tesla C1060, Tesla C2050, Thesis

October 17, 2011 by hgpu

The Lattice Boltzmann Simulation on Multi-GPU Systems

Thor Kristian Valderhaug

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla C1060, Tesla C2070, Tesla S2070, Tesla T10, Thesis

October 17, 2011 by hgpu

High performance finite difference PDE solvers on GPUs

Daniel Egloff

View

Download (PDF)

Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Risk Management, Tesla C1060

October 16, 2011 by hgpu

Skeleton Programming for Heterogeneous GPU-based Systems

Usman Dastgeer

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C1060, Thesis

October 16, 2011 by hgpu

Scaling-up spatially-explicit ecological models using graphics processors

Johan van de Koppel, Rohit Gupta, Cornelis Vuik

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Ecology, nVidia, Tesla C1060

October 16, 2011 by hgpu

Effects of compression on data intensive algorithms

Ahmed Adnan Aqrawi

View

Download (PDF)

Tags: Algorithms, Compression, Computer science, CUDA, Filtering, Image processing, nVidia, Seismology, Tesla C1060, Tesla C2050, Thesis

October 15, 2011 by hgpu

Efficient Mapping of Streaming Applications for Image Processing on Graphics Cards

Richard Membarth, Hritam Dutta, Frank Hannig, Jurgen Teich

View

Download (PDF)

Source codes

Tags: Algorithms, CUDA, Image processing, nVidia, Package, Tesla C1060

October 15, 2011 by hgpu

Input Sensitivity of GPU Program Optimizations

Yixun Liu, Eddy Z. Zhang, Poornima Bhamidipati, Xipeng Shen

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, OpenCL, Optimization, Performance, Tesla C1060

October 13, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Enabling Computational Dynamics in Distributed Computing Environments Using a Heterogeneous Computing Template

A high performance computing framework for physics-based modeling and simulation of military ground vehicles

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method

Magneto-hydrodynamics simulation in astrophysics

The Lattice Boltzmann Simulation on Multi-GPU Systems

High performance finite difference PDE solvers on GPUs

Skeleton Programming for Heterogeneous GPU-based Systems

Scaling-up spatially-explicit ecological models using graphics processors

Effects of compression on data intensive algorithms

Efficient Mapping of Streaming Applications for Image Processing on Graphics Cards

Input Sensitivity of GPU Program Optimizations

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)