PATSMA: Parameter Auto-tuning for Shared Memory Algorithms

Programs with high levels of complexity often face challenges in adjusting execution parameters, particularly when these parameters vary based on the execution context. These dynamic parameters significantly impact the program's performance, such as loop granularity, which can vary depending on...

Full description

Bibliographic Details

Published in:	arXiv.org
Main Authors:	Fernandes, Joao B, Felipe H S da Silva, Xavier-de-Souza, Samuel, Assis, Italo A S
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 14.06.2024
Subjects:	Algorithms Optimization Parameters Real time Simulated annealing Tuning
ISSN:	2331-8422
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!