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Low-Power Cooling Codes with Efficient Encoding and Decoding
Conference proceeding

Low-Power Cooling Codes with Efficient Encoding and Decoding

Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Alexander Vardy and Hengjia Wei
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.1655
01/01/2018

Abstract

Codes Coding Cooling Decoding Information theory Power consumption
Conference Title: 2018 IEEE International Symposium on Information Theory (ISIT) Conference Start Date: 2018, June 17 Conference End Date: 2018, June 22 Conference Location: Vail, CO, USA A class of low-power cooling (LPC) codes, to control simultaneously both the peak temperature and the average power consumption of interconnects, were introduced recently. An (n, t, $w$ )-LPC code is a coding scheme over $n$ wires that (A) avoids state transitions on the $t$ hottest wires (cooling), and (B) limit the number of transitions to $w$ in each transmission (low-power). A few constructions for large LPC codes that have efficient encoding and decoding schemes, are given. In particular, when $w$ is fixed, we construct LPC codes of size $(n/w)^{w-1}$ and show that these LPC codes can be modified to correct errors efficiently. We further present a construction for large LPC codes based on a mapping from cooling codes to LPC codes.

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