Pegasus: Performance Engineering for Software Applications Targeting HPC Systems

• Published in: IEEE transactions on software engineering Vol. 48; no. 3; pp. 732 - 754
• Main Authors: Pinto, Pedro, Bispo, Joao, Cardoso, Joao M. P., Barbosa, Jorge G., Gadioli, Davide, Palermo, Gianluca, Martinovic, Jan, Golasowski, Martin, Slaninova, Katerina, Cmar, Radim, Silvano, Cristina
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2022; IEEE Computer Society
• Subjects: Applications programs; Compilers; Computation; Computer architecture; Domain specific languages; Energy efficiency; high-performance computing; Libraries; methodology; Navigation systems; Performance engineering; Power demand; Programming languages; Run time (computers); Runtime; Software; Software engineering; source-to-source compilers; Task analysis; Task complexity; Tuning
• ISSN: 0098-5589; 1939-3520
• DOI: 10.1109/TSE.2020.3001257

Developing and optimizing software applications for high performance and energy efficiency is a very challenging task, even when considering a single target machine. For instance, optimizing for multicore-based computing systems requires in-depth knowledge about programming languages, application programming interfaces (APIs), compilers, performance tuning tools, and computer architecture and organization. Many of the tasks of performance engineering methodologies require manual efforts and the use of different tools not always part of an integrated toolchain. This paper presents Pegasus, a performance engineering approach supported by a framework that consists of a source-to-source compiler, controlled and guided by strategies programmed in a Domain-Specific Language, and an autotuner. Pegasus is a holistic and versatile approach spanning various decision layers composing the software stack, and exploiting the system capabilities and workloads effectively through the use of runtime autotuning. The Pegasus approach helps developers by automating tasks regarding the efficient implementation of software applications in multicore computing systems. These tasks focus on application analysis, profiling, code transformations, and the integration of runtime autotuning. Pegasus allows developers to program their strategies or to automatically apply existing strategies to software applications in order to ensure the compliance of non-functional requirements, such as performance and energy efficiency. We show how to apply Pegasus and demonstrate its applicability and effectiveness in a complex case study, which includes tasks from a smart navigation system.