nVidia GeForce GTX 590

hgpu.org » nVidia GeForce GTX 590

Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms

Leiming Yu, Fanny Nina-Paravecino, David Kaeli, Qianqian Fang

View

Download (PDF)

Source codes

Tags: Algorithms, AMD R9 Nano, AMD Radeon RX 480, ATI, Computational Physics, Heterogeneous systems, nVidia, nVidia GeForce GTX 1050 Ti, nVidia GeForce GTX 1080 Ti, nVidia GeForce GTX 590, nVidia GeForce GTX 980 Ti, nVidia GeForce GTX Titan X, OpenCL, Package, Physics

November 12, 2017 by hgpu

Multi-Tasking Scheduling for Heterogeneous Systems

Yuan Wen

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 780, OpenCL, Task scheduling, Thesis

September 7, 2017 by hgpu

GPU Array Access Auto-Tuning

Nicolas Weber

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 440, nVidia GeForce GT 620, nVidia GeForce GT 730, nVidia GeForce GTX 1080, nVidia GeForce GTX 480, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 590, nVidia GeForce GTX 680, nVidia GeForce GTX 780, nVidia GeForce GTX 980, nVidia GeForce GTX Titan X, Performance, performance portability, Tesla C2070, Tesla K20, Thesis

August 8, 2017 by hgpu

MapSQ: A MapReduce-based Framework for SPARQL Queries on GPU

Jiaying Feng, Xiaowang Zhang, Zhiyong Feng

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, Databases, MapReduce, nVidia, nVidia GeForce GTX 590

February 18, 2017 by hgpu

VirtCL: a framework for OpenCL device abstraction and management

Yi-Ping You, Hen-Jung Wu, Yeh-Ning Tsai, Yen-Ting Chao

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Memory model, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Performance

February 23, 2016 by hgpu

A framework for efficient execution on GPU and CPU+GPU systems

Jean-Francois Dollinger

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Performance, Thesis

January 19, 2016 by hgpu

Autotuning Stencils Codes with Algorithmic Skeletons

Chris Cummins

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, OpenCL, Package

December 19, 2015 by hgpu

Autotuning OpenCL Workgroup Size for Stencil Patterns

Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Machine learning, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, OpenCL, Performance

November 11, 2015 by hgpu

A Parallel Implementation of the Self Organising Map using OpenCL

Gavin Davidson

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Machine learning, nVidia, nVidia GeForce GTX 590, OpenCL, Package, Self-organizing map

August 11, 2015 by hgpu

Parallel Unsteady Flow Line Integral Convolution for High-Performance Dense Visualization

Zi'ang Ding, Zhanping Liu, Yang Yu, Wei Chen

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Image generation, nVidia, nVidia GeForce GTX 590, Visualization

March 28, 2015 by hgpu

Multi-GPU implementation of a VMAT treatment plan optimization algorithm

Zhen Tian, Fei Peng, Michael Folkerts, Jun Tan, Xun Jia, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Medical Physics, nVidia, nVidia GeForce GTX 590, Physics

March 6, 2015 by hgpu

Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

View

Download (PDF)

Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 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

Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms

Multi-Tasking Scheduling for Heterogeneous Systems

GPU Array Access Auto-Tuning

MapSQ: A MapReduce-based Framework for SPARQL Queries on GPU

VirtCL: a framework for OpenCL device abstraction and management

A framework for efficient execution on GPU and CPU+GPU systems

Autotuning Stencils Codes with Algorithmic Skeletons

Autotuning OpenCL Workgroup Size for Stencil Patterns

A Parallel Implementation of the Self Organising Map using OpenCL

Parallel Unsteady Flow Line Integral Convolution for High-Performance Dense Visualization

Multi-GPU implementation of a VMAT treatment plan optimization algorithm

Performance Improvement of Multichannel Audio by Graphics Processing Units

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)