Paper Info
Title
A Performance Comparison of CUDA and OpenCL
Abstract
CUDA and OpenCL offer two different interfaces for programming GPUs. OpenCL is an open standard that can be used to program CPUs, GPUs, and other devices from different vendors, while CUDA is specific to NVIDIA GPUs. Although OpenCL promises a portable language for GPU programming, its generality may entail a performance penalty. In this paper, we compare the performance of CUDA and OpenCL using complex, near-identical kernels. We show that when using NVIDIA compiler tools, converting a CUDA kernel to an OpenCL kernel involves minimal modifications. Making such a kernel compile with ATI's build tools involves more modifications. Our performance tests measure and compare data transfer times to and from the GPU, kernel execution times, and end-to-end application execution times for both CUDA and OpenCL.
Year
Venue
Keywords
2010
Clinical Orthopaedics and Related Research
cluster computing,gpu programming,open standard,data transfer
Field
DocType
Volume
Kernel (linear algebra),Open standard,Data transmission,CUDA,Computer science,Parallel computing,Compiler,General-purpose computing on graphics processing units,Quantum Monte Carlo
Journal
abs/1005.2
Citations 
PageRank 
References 
34
2.05
4
Authors
3
Name
Order
Citations
PageRank
Kamran Karimi111817.23
Neil Dickson2636.72
Firas Hamze313114.05