Near-optimal and Scalable Intrasignal In-place Optimization for Non-overlapping and Irregular Access Schemes

KRITIKAKOU, Angeliki, CATTHOOR, Francky, KELEFOURAS, Vasileios and GOUTIS, Costas (2013). Near-optimal and Scalable Intrasignal In-place Optimization for Non-overlapping and Irregular Access Schemes. ACM Transactions on Design Automation of Electronic Systems, 19 (1), 4:1-4:30.

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Abstract

Storage-size management techniques aim to reduce the resources required to store elements and to concurrently provide efficient addressing during element accessing. Existing techniques are less appropriate for large iteration spaces with increased numbers of irregularly spread holes. They either have to approximate the accessed regions, leading to overestimation of the final resources, or they require prohibited exploration time to find the storage size. In this work, we present a near-optimal and scalable methodology for storage-size, intrasignal, in-place optimization, that is, to compute the minimum amount of resources required to store the elements of a group (array), for irregular complex access schemes in the target domain of non-overlapping store and load accesses.

Item Type:	Article
Uncontrolled Keywords:	Storage size, iteration space, near optimality, scalability
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Identification Number:	https://doi.org/10.1145/2534383
Page Range:	4:1-4:30
Depositing User:	Vasileios Kelefouras
Date Deposited:	05 Apr 2018 13:22
Last Modified:	18 Mar 2021 15:19
URI:	https://shura.shu.ac.uk/id/eprint/18344

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