Reducing memory requirements through task recomputation in embedded multi-CPU systems

H. Koc; S. Tosun; O. Ozturk; M. Kandemir

doi:10.1109/ISVLSI.2006.77

Reducing memory requirements through task recomputation in embedded multi-CPU systems

H. Koc, S. Tosun, O. Ozturk, M. Kandemir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

As embedded applications are processing increasingly larger data sets, keeping their memory space consumptions under control is becoming a very pressing issue. Observing this, several prior efforts have considered memory space reduction techniques (in both hardware and software) based on data compression and lifetime-based memory recycling (garbage collection). In this work, we propose and evaluate an alternate approach to memory space saving in multi-CPU embedded systems such as chip multiprocessors. The unique characteristic of our approach is that it recomputes the results of select tasks in a given task graph (which represents the application), instead of storing these results in memory and accessing them from there as needed.

Original language	English (US)
Title of host publication	Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006
Pages	448-449
Number of pages	2
DOIs	https://doi.org/10.1109/ISVLSI.2006.77
State	Published - Oct 9 2006
Event	IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006 - Klarlsruhe, Germany Duration: Mar 2 2006 → Mar 3 2006

Publication series

Name	Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006
Volume	2006

Other

Other	IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006
Country/Territory	Germany
City	Klarlsruhe
Period	3/2/06 → 3/3/06

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1109/ISVLSI.2006.77

Cite this

Koc, H., Tosun, S., Ozturk, O., & Kandemir, M. (2006). Reducing memory requirements through task recomputation in embedded multi-CPU systems. In Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006 (pp. 448-449). Article 1602490 (Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006; Vol. 2006). https://doi.org/10.1109/ISVLSI.2006.77

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title = "Reducing memory requirements through task recomputation in embedded multi-CPU systems",

abstract = "As embedded applications are processing increasingly larger data sets, keeping their memory space consumptions under control is becoming a very pressing issue. Observing this, several prior efforts have considered memory space reduction techniques (in both hardware and software) based on data compression and lifetime-based memory recycling (garbage collection). In this work, we propose and evaluate an alternate approach to memory space saving in multi-CPU embedded systems such as chip multiprocessors. The unique characteristic of our approach is that it recomputes the results of select tasks in a given task graph (which represents the application), instead of storing these results in memory and accessing them from there as needed.",

author = "H. Koc and S. Tosun and O. Ozturk and M. Kandemir",

year = "2006",

month = oct,

day = "9",

doi = "10.1109/ISVLSI.2006.77",

language = "English (US)",

isbn = "0769525334",

series = "Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006",

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note = "IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006 ; Conference date: 02-03-2006 Through 03-03-2006",

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Koc, H, Tosun, S, Ozturk, O & Kandemir, M 2006, Reducing memory requirements through task recomputation in embedded multi-CPU systems. in Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006., 1602490, Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006, vol. 2006, pp. 448-449, IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006, Klarlsruhe, Germany, 3/2/06. https://doi.org/10.1109/ISVLSI.2006.77

Reducing memory requirements through task recomputation in embedded multi-CPU systems. / Koc, H.; Tosun, S.; Ozturk, O. et al.
Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006. 2006. p. 448-449 1602490 (Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - As embedded applications are processing increasingly larger data sets, keeping their memory space consumptions under control is becoming a very pressing issue. Observing this, several prior efforts have considered memory space reduction techniques (in both hardware and software) based on data compression and lifetime-based memory recycling (garbage collection). In this work, we propose and evaluate an alternate approach to memory space saving in multi-CPU embedded systems such as chip multiprocessors. The unique characteristic of our approach is that it recomputes the results of select tasks in a given task graph (which represents the application), instead of storing these results in memory and accessing them from there as needed.

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Koc H, Tosun S, Ozturk O, Kandemir M. Reducing memory requirements through task recomputation in embedded multi-CPU systems. In Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006. 2006. p. 448-449. 1602490. (Proceedings - IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures 2006). doi: 10.1109/ISVLSI.2006.77

Reducing memory requirements through task recomputation in embedded multi-CPU systems

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