NDLI: Low-power tradeoffs for mobile computing applications: embedded processors versus custom computing kernels

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Low-power tradeoffs for mobile computing applications: embedded processors versus custom computing kernels

Content Provider	ACM Digital Library
Author	Mintz, Tiffany M. Davis, James P.
Abstract	In this paper, we present a low-power estimation method for creating mobile computing applications on programmable logic devices forming the "fabric" of a reconfigurable computing platform. Today, the predominant method for creating mobile computing applications uses one or more embedded processors, selected for their cost, ease of programmability, and flexibility. However, concerns over performance and power consumption are causing systems designers to question this prevailing viewpoint. We present an approach that allows designers to assess the performance and energy consumption of key algorithms before committing to specific hardware-software partitioning decisions. We report on results using the Algorithmic State Machine (ASM) method, found now in most texts on digital logic design. Using a common Sorting algorithm as an example, we show how the ASM method can be used to estimate the impact of algorithm design on power consumption and, therefore, incorporate energy budgeting into the decision-making process for hardware-software partitioning.
Starting Page	144
Ending Page	149
Page Count	6
File Format	PDF
ISBN	9781595936295
DOI	10.1145/1233341.1233368
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-03-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Reconfigurable computing Embedded processors Low-power design Algorithmic state machine
Content Type	Text
Resource Type	Article

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