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Abstract

Evaluation Scheme for NoC-based CMP with Integrated Processor Management System With the opportunities and benefits offered by Chip Multiprocessors (CMPs), there are many challenges that need to be addressed in order to exploit the full potential of CMPs. Such aspects as parallel programs, interconnection design, cache arrangement and on-chip cores allocation become a limiting factor. To ensure validity of approaches and research, we propose an evaluation system for CMPs with Network-on-Chip (NoC) and processor management system integrated on one die. The suggested experimentation system is described in details. The proposed system that is used for tests and results of the experiments are presented and discussed. As decision making criteria, we consider energy efficiency of Processor Allocator (PA) and NoC, as well as NoC traffic characteristic (load balance). In order to improve the system understanding, brief overview on most important NoC and PA architectures is also presented. Analyzed results reveal that CMP with a PA controlled by IFF allocation algorithm for mesh systems and torus-based NoC driven by DORLB routing with express-virtual-channel flow control achieved the best traffic balance and energy characteristic.
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Abstract

Location of Processor Allocator and Job Scheduler and Its Impact on CMP Performance High Performance Computing (HPC) architectures are being developed continually with an aim of achieving exascale capability by 2020. Processors that are being developed and used as nodes in HPC systems are Chip Multiprocessors (CMPs) with a number of cores. In this paper, we continue our effort towards a better processor allocation process. The Processor Allocator (PA) and Job Scheduler (JS) proposed and implemented in our previous works are explored in the context of its best location on the chip. We propose a system, where all locations on a chip can be analyzed, considering energy used by Network-on-Chip (NoC), PA and JS, and processing elements. We present energy models for the researched CMP components, mathematical model of the system, and experimentation system. Based on experimental results, proper placement of PA and JS on a chip can provide up to 45% NoC energy savings.
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