Govil, N., Shrestha, R., & Roy Chowdhury, S. (2017). PGMA: An algorithmic approach for multi-objective hardware software partitioning. Microprocessors & Microsystems, 54, 83. https://doi.org/10.1016/j.micpro.2017.09.002
Chicago Style (17th ed.) CitationGovil, Naman, Rahul Shrestha, and Shubhajit Roy Chowdhury. "PGMA: An Algorithmic Approach for Multi-objective Hardware Software Partitioning." Microprocessors & Microsystems 54 (2017): 83. https://doi.org/10.1016/j.micpro.2017.09.002.
MLA (9th ed.) CitationGovil, Naman, et al. "PGMA: An Algorithmic Approach for Multi-objective Hardware Software Partitioning." Microprocessors & Microsystems, vol. 54, 2017, p. 83, https://doi.org/10.1016/j.micpro.2017.09.002.
Warning: These citations may not always be 100% accurate.