The Speedup Model for Manycore Processor
Nan Ye, Ziyu Hao, Xianghui Xie · 2013
Integrating a large number of simple cores on the chip to provide the desired performance and throughput, microprocessor has entered the many core era. In order to fully extract the ability of the many core processor, we propose speedup models for many core architecture in this paper. Under the assumption of Hill-Marty model, we deduce our formulas based on Gustafson's Law and Sun-Ni's Law. Then, compared with the Hill-Marty model, we theoretically analyze the best allocation under the given resources. Furthermore, we apply the conclusions of our models to evaluate current many core processors and predict concrete future architecture. Our results show that the many core architecture is capable of extensive scalability and being beneficial to promote the performance, especially heterogeneous one. By using simple analytical models, we provide a better understanding of architecture design and our work complement existing studies.