high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Peng Di, Ding Ye, Yu Su, Yulei Sui, Jingling Xue

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050

October 13, 2012 by hgpu

A Quantitative Study of Irregular Programs on GPUs

Martin Burtscher, Rupesh Nasre, Keshav Pingali

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Performance

September 23, 2012 by hgpu

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla C1060

September 21, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Medusa: Simplified Graph Processing on GPUs

Jianlong Zhong, Bingsheng He

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Optimization, Performance, Tesla C2050

September 12, 2012 by hgpu

Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit

Yusuke Shimotoku, Toshiaki Tanaka, Ryuichi Itoi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

September 10, 2012 by hgpu

Performance Evaluation of Concurrent Lock-free Data Structures on GPUs

Prabhakar Misra, Mainak Chaudhuri

View

Download (PDF)

Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C2070

September 8, 2012 by hgpu

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Benedict R. Gaster, Lee Howes

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance

September 7, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

Automated Enhanced Parallelization of Sequential C to Parallel OpenMP

Dheeraj D., Shruti Ramesh, Nitish B.

View

Download (PDF)

Tags: Computer science, MPI, OpenMP, Performance

September 4, 2012 by hgpu

Parallel Data List Processing on Multicore-GPU Platforms

Carlos Alberto Martinez-Angeles, Jorge Buenabad-Chavez, Miguel Alfonso Castro-Garcia, Jose Luis Quiroz-Fabian

View

Download (PDF)

Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 460, Performance

August 30, 2012 by hgpu

GPUVerify: A Verifier for GPU Kernels

Adam Betts, Nathan Chong, Alastair F. Donaldson, Shaz Qadeer, Paul Thomson

View

Download (PDF)

Source codes

Tags: ARM, ATI, ATI Radeon HD 7970, Code generation, Computer science, CUDA, nVidia, OpenCL, Package, Performance, Tesla C2050

August 28, 2012 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

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

A Quantitative Study of Irregular Programs on GPUs

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Parallel Benefit on Different Programming Paradigms

Medusa: Simplified Graph Processing on GPUs

Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit

Performance Evaluation of Concurrent Lock-free Data Structures on GPUs

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Automated Enhanced Parallelization of Sequential C to Parallel OpenMP

Parallel Data List Processing on Multicore-GPU Platforms

GPUVerify: A Verifier for GPU Kernels

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)