A high-level clustering algorithm targeting dual V dd FPGAs

Author:

Mukherjee Rajarshi1,Liu Song2,Memik Seda Ogrenci2,Mondal Somsubhra3

Affiliation:

1. Synopsys, Inc., Mountain View, CA

2. Northwestern University, Evanston, IL

3. Neokast Inc., Evanston, IL

Abstract

Recent advanced power optimizations deployed in commercial FPGAs, laid out a roadmap towards FPGA devices that can be integrated into ultra low power systems. In this article, we present a high-level design tool to support the process of mapping an application onto a FPGA device with dual supply voltages. Our main contribution in this paper is an algorithm, which creates voltage scaling ready clusters by utilizing the timing slack available in the designs. We propose to first create clusters of CLBs within a given CLB-level netlist. This clustering algorithm intends to group chains of CLBs possessing similar amounts of timing slack along their critical path together. Once these clusters are identified, they are placed onto respective V dd partitions on the device. We have evaluated different dual V dd fabrics and the potential gain in power consumption is explored. When a subset of the logic blocks on the device can be driven by low V dd levels (either with a dedicated low V dd supply or with a programmable selection between low and high V dd levels for these blocks) this affects placement and routing. As a result the maximum frequency of the designs may be affected. In order to evaluate the overall impact of creating voltage islands, we measured the Energy-Delay Product for our benchmark designs. We observed that the Energy-Delay product can be decreased by 26.9% when the placement of the designs into different voltage levels is guided by our clustering algorithm.

Funder

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Vdd Design for Content Addressable Memories (CAM): A Power-Delay Optimization Analysis;Journal of Low Power Electronics and Applications;2018-07-30

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