APA (7th ed.) Citation

Garmon, A., Ramakrishnaiah, V., & Perez, D. (2022). Resource allocation for task-level speculative scientific applications: A proof of concept using Parallel Trajectory Splicing. Parallel computing, 112, 102936. https://doi.org/10.1016/j.parco.2022.102936

Chicago Style (17th ed.) Citation

Garmon, Andrew, Vinay Ramakrishnaiah, and Danny Perez. "Resource Allocation for Task-level Speculative Scientific Applications: A Proof of Concept Using Parallel Trajectory Splicing." Parallel Computing 112 (2022): 102936. https://doi.org/10.1016/j.parco.2022.102936.

MLA (9th ed.) Citation

Garmon, Andrew, et al. "Resource Allocation for Task-level Speculative Scientific Applications: A Proof of Concept Using Parallel Trajectory Splicing." Parallel Computing, vol. 112, 2022, p. 102936, https://doi.org/10.1016/j.parco.2022.102936.