An Empirical Study on the Energy Efficiency of Matrix Transposition Algorithms

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Lopes, G (Author) Other; Joao Paulo Fernandes (Author) Other; Paquete, L (Author) Other

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 375-391

8th Central European Functional Programming School, CEFP 2019

Budapest, 17 June 2019 through 21 June 2019

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Z-CRF

DOI: 10.1007/978-3-031-42833-3_11

Abstract (EN): Energy consumption is becoming a serious concern in the context of software development. Recent works have shown that energy consumption of an algorithm not only depends on its running-time but also on its number of memory accesses. In this work, we empirically analyse several algorithms for matrix transposition with different patterns of low-level cache access, and compare them in terms of energy consumption and running-time with respect to CPU instructions and memory accesses. Our results suggest that different memory access patterns have a strong influence on the energy consumption and on the cache performance of these algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16