high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

An Investigation of Unified Memory Access Performance in CUDA

Raphael Landaverde, Tiansheng Zhang, Ayse K. Coskun, Martin Herbordt

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia

August 26, 2014 by hgpu

Acceleration of Various Direct/Iterative Solvers for MoM by GPU and Its Computational Cost

Keisuke Konno, Qiang Chen, Hajime Katsuda

View

Download (PDF)

Tags: CUDA, Electrodynamics, nVidia, Physics, Tesla C2075

August 26, 2014 by hgpu

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Durlabh Chauhan, Satvir Singh, Sarabjeet Singh, Vijay Kumar Banga

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650

August 26, 2014 by hgpu

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Sergiy Gogolenko, Zhaojun Bai, Richard Scalettar

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060

August 23, 2014 by hgpu

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

Lan Vu, Hari Sivaraman, Rishi Bidarkar

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia Quadro 4000, Virtualization

August 23, 2014 by hgpu

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Newsha Ardalani, Karthikeyan Sankaralingam, Xiaojin Zhu

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 660 Ti, OpenCL, Performance, Tesla K20

August 23, 2014 by hgpu

Caffe: Convolutional Architecture for Fast Feature Embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

View

Download (PDF)

Source codes

Tags: Cloud, Computer science, CUDA, Neural networks, nVidia, Package, Pattern recognition, Python

August 23, 2014 by hgpu

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Youssef S. G. Nashed

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTS 450, Pattern recognition, Thesis

August 23, 2014 by hgpu

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Alexander Efremov, Eugenya Karepova, Vladimir Shaydurov, Alexander Vyatkin

View

Download (PDF)

Tags: Algorithms, CUDA, Mathematics, nVidia, OpenMP, Tesla C2050

August 21, 2014 by hgpu

Volumetric Rendering Techniques for Scientific Visualization

Erhan Okuyan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 560, OpenMP, Rendering, Visualization

August 21, 2014 by hgpu

Error Resilience Evaluation on GPGPU Applications

Bo Fang

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Package, Thesis

August 21, 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

An Investigation of Unified Memory Access Performance in CUDA

Acceleration of Various Direct/Iterative Solvers for MoM by GPU and Its Computational Cost

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation

Volumetric Rendering Techniques for Scientific Visualization

Error Resilience Evaluation on GPGPU Applications

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)