Adaptation of algorithms for efficient execution on GPUs

Vadim G. Bulavintsev; Dmitry D. Zhdanov

doi:10.1117/12.2601619

9 October 2021 Adaptation of algorithms for efficient execution on GPUs

Vadim G. Bulavintsev, Dmitry D. Zhdanov

Proceedings Volume 11895, Optical Design and Testing XI; 118950T (2021) https://doi.org/10.1117/12.2601619
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Abstract

We propose a generalized method for adapting and optimizing algorithms for efficient execution on modern graphics processing units (GPU). The method consists of several steps. First, build a control flow graph (CFG) of the algorithm. Next, transform the CFG into a tree of loops and merge non-parallelizable loops into parallelizable ones. Finally, map the resulting loops tree to the tree of GPU computational units, unrolling the algorithm’s loops as necessary for the match. The method provides a convenient and robust mental framework and strategy for GPU code optimization. We demonstrate the method by adapting a backtracking search algorithm to the GPU platform and building an optimized implementation of the ResNeXt-50 neural network.

Conference Presentation

Citation Download Citation

Vadim G. Bulavintsev and Dmitry D. Zhdanov "Adaptation of algorithms for efficient execution on GPUs", Proc. SPIE 11895, Optical Design and Testing XI, 118950T (9 October 2021); https://doi.org/10.1117/12.2601619

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available