Advertisement Hide. Authors Authors and affiliations Lavanya Dhanesh S. Deepa P. Elangovan S. Conference paper First Online: 01 July This is a preview of subscription content, log in to check access. Tang, H. Wang, Z. Tan, P. Kim, S.
Liu, D. Li, K. IEEE Trans. In: 41st International Conference on Parallel Processing, pp. Park, J. Geng, X. Yun, Y. Dhanesh, L. Nano Sci. Power Electron. Drive Syst. Deepa, S.
Jian Chen , John, L. Abstract Heterogeneous multicore processors promise high execution efficiency under diverse workloads, and program scheduling is critical in exploiting this efficiency. This paper presents a novel method to leverage the inherent characteristics of a program for scheduling decisions in heterogeneous multicore processors.
The proposed method projects the core's configuration and the program's resource demand to a unified multi-dimensional space, and uses weighted Euclidean distance between these two to guide the program scheduling. The experimental results show that on average, this distance based scheduling heuristic achieves Authors Close.
Assign yourself or invite other person as author. It allow to create list of users contirbution. Assignment does not change access privileges to resource content. Wrong email address. You're going to remove this assignment. Are you sure? Yes No. ECE Dept. Keywords microprocessor chips weighted Euclidean distance program scheduling heterogeneous multicore processors multidimensional space Magnetic cores Processor scheduling Hardware Scheduling Throughput Out of order Heterogeneous Multi-core Energy-Delay Product microprocessor chips weighted Euclidean distance program scheduling heterogeneous multicore processors multidimensional space Magnetic cores Processor scheduling Hardware Scheduling Throughput Out of order Heterogeneous Multi-core Energy-Delay Product.
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