Argobots: A Lightweight Low-Level Threading and Tasking Framework

• Published in: IEEE transactions on parallel and distributed systems Vol. 29; no. 3; pp. 512 - 526
• Main Authors: Sangmin Seo, Amer, Abdelhalim, Balaji, Pavan, Bordage, Cyril, Bosilca, George, Brooks, Alex, Carns, Philip, Castello, Adrian, Genet, Damien, Herault, Thomas, Iwasaki, Shintaro, Jindal, Prateek, Kale, Laxmikant V., Krishnamoorthy, Sriram, Lifflander, Jonathan, Huiwei Lu, Meneses, Esteban, Snir, Marc, Yanhua Sun, Taura, Kenjiro, Beckman, Pete
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Argobots; Computer Science; Context; context switch; Distributed, Parallel, and Cluster Computing; End users; ENGINEERING; I/O; Interoperability; Level (quantity); Libraries; Lightweight; Message systems; MPI; OpenMP; Run time (computers); Runtime; stackable scheduler; State of the art; Substrates; Synchronism; Synchronization; tasklet; user-level thread; Weight reduction; Lightweight; OpenMP; Argobots; Stackable scheduler; MPI; I/O; Interoperability; Tasklet; Context switch; User-level thread

In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current state-of-the-art user-level threading and tasking models, however, either are too...