high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » CUDA

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 by hgpu

Load Balancing Utilizing Data Redundancy in Distributed Volume Rendering

S. Frey, T. Ertl

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering

December 9, 2011 by hgpu

A design tool for efficient mapping of multimedia applications onto heterogeneous platforms

Chung-Ching Shen, Hsiang-Huang Wu, Nimish Sane, William Plishker, Shuvra S. Bhattacharyya

View

Download (PDF)

Tags: Computer science, CUDA, Flow analysis, Heterogeneous systems, nVidia, nVidia GeForce GTX 260

December 9, 2011 by hgpu

GPU implementations of scheduling heuristics for heterogeneous computing environments

Sergio Nesmachnow, Mauro Canabe

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Task scheduling, Tesla C1060

December 9, 2011 by hgpu

Computer Finit-Difference Time-Domain Simulation of Electromagnetic Wave Propagation using GPUs

Anna Bonet Manchado

View

Download (PDF)

Tags: Algorithms, CUDA, Data parallelism, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8800 GTX, Thesis, Visualization

December 9, 2011 by hgpu

Objective-Driven Workload Allocation in Heterogeneous Computing Systems

Qiang Liu, Wayne Luk

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Performance, Tesla C2070

December 9, 2011 by hgpu

Enhanced Parallel ILU (p)-based Preconditioners for Multi-core CPUs and GPUs-The Power (g)-pattern Method

Vincent Heuveline, Dimitar Lukarski, Jan-Philipp Weiss

View

Download (PDF)

Tags: Computer science, CUDA, Factorization, Numerical simulation, nVidia, Tesla S1070

December 9, 2011 by hgpu

Contributions to Parallel Simulation of Equation-Based Models on Graphics Processing Units

Kristian Stavaker

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 8600, OpenCL, Tesla C1060, Tesla M2050, Thesis

December 9, 2011 by hgpu

Exploring the Optimization Space of Multi-Core Architectures with OpenCL Benchmarks

Deepak Mathews Panickal

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5470, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Tesla C2070, Thesis

December 9, 2011 by hgpu

High Performance Multi-agent System based Simulations

Prashant Sethia

View

Download (PDF)

Source codes

Tags: Algorithms, Cloud, Computer science, CUDA, Distributed computing, MapReduce, nVidia, Package, Tesla T10

December 8, 2011 by hgpu

Performance of PETSc GPU Implementation with Sparse Matrix Storage Schemes

Pramod Kumbhar

View

Download (PDF)

Tags: ATI, ATI FireStream, Computer science, CUDA, Differential equations, GPU cluster, nVidia, OpenCL, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Thesis

December 8, 2011 by hgpu

Three-Dimensional Modeling of Long-Wave Runup: Simulation of Tsunami Inundation with GPU-SPHysics

Robert Weiss, Andrew James Munoz, Robert A. Dalrymple, Alexis Herault, Giuseppe Bilotta

View

Download (PDF)

Source codes

Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Package, Tesla C1060

December 8, 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

Programming

Playdoh: A lightweight Python library for distributed computing and optimisation

Load Balancing Utilizing Data Redundancy in Distributed Volume Rendering

A design tool for efficient mapping of multimedia applications onto heterogeneous platforms

GPU implementations of scheduling heuristics for heterogeneous computing environments

Computer Finit-Difference Time-Domain Simulation of Electromagnetic Wave Propagation using GPUs

Objective-Driven Workload Allocation in Heterogeneous Computing Systems

Enhanced Parallel ILU (p)-based Preconditioners for Multi-core CPUs and GPUs-The Power (g)-pattern Method

Contributions to Parallel Simulation of Equation-Based Models on Graphics Processing Units

Exploring the Optimization Space of Multi-Core Architectures with OpenCL Benchmarks

Performance of PETSc GPU Implementation with Sparse Matrix Storage Schemes

Three-Dimensional Modeling of Long-Wave Runup: Simulation of Tsunami Inundation with GPU-SPHysics

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)