Reducing Memory System Energy by Software-Controlled On-Chip Memory
Summary :
In recent computer systems, a large portion of energy is consumed by on-chip cache accesses and data movement between cache and off-chip main memory. Reducing these memory system energy is indispensable for future microprocessors because power and thermal issues certainly become a key factor of limiting processor performance. In this paper, we discuss and evaluate how our architecture called SCIMA contributes to energy saving. SCIMA integrates software-controllable memory (SCM) into processor chip. SCIMA can save total memory system energy by using SCM under the support of compiler. The evaluation results reveal that SCIMA can reduce 5-50% of memory system energy and still faster than conventional cache based architecture.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E86-C No.4 pp.580-588
- Publication Date
- 2003/04/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on High-Performance, Low-Power System LSIs and Related Technologies)
- Category
- Architecture and Algorithms
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Masaaki KONDO, Hiroshi NAKAMURA, "Reducing Memory System Energy by Software-Controlled On-Chip Memory" in IEICE TRANSACTIONS on Electronics,
vol. E86-C, no. 4, pp. 580-588, April 2003, doi: .
Abstract: In recent computer systems, a large portion of energy is consumed by on-chip cache accesses and data movement between cache and off-chip main memory. Reducing these memory system energy is indispensable for future microprocessors because power and thermal issues certainly become a key factor of limiting processor performance. In this paper, we discuss and evaluate how our architecture called SCIMA contributes to energy saving. SCIMA integrates software-controllable memory (SCM) into processor chip. SCIMA can save total memory system energy by using SCM under the support of compiler. The evaluation results reveal that SCIMA can reduce 5-50% of memory system energy and still faster than conventional cache based architecture.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e86-c_4_580/_p
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@ARTICLE{e86-c_4_580,
author={Masaaki KONDO, Hiroshi NAKAMURA, },
journal={IEICE TRANSACTIONS on Electronics},
title={Reducing Memory System Energy by Software-Controlled On-Chip Memory},
year={2003},
volume={E86-C},
number={4},
pages={580-588},
abstract={In recent computer systems, a large portion of energy is consumed by on-chip cache accesses and data movement between cache and off-chip main memory. Reducing these memory system energy is indispensable for future microprocessors because power and thermal issues certainly become a key factor of limiting processor performance. In this paper, we discuss and evaluate how our architecture called SCIMA contributes to energy saving. SCIMA integrates software-controllable memory (SCM) into processor chip. SCIMA can save total memory system energy by using SCM under the support of compiler. The evaluation results reveal that SCIMA can reduce 5-50% of memory system energy and still faster than conventional cache based architecture.},
keywords={},
doi={},
ISSN={},
month={April},}
Copy
TY - JOUR
TI - Reducing Memory System Energy by Software-Controlled On-Chip Memory
T2 - IEICE TRANSACTIONS on Electronics
SP - 580
EP - 588
AU - Masaaki KONDO
AU - Hiroshi NAKAMURA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E86-C
IS - 4
JA - IEICE TRANSACTIONS on Electronics
Y1 - April 2003
AB - In recent computer systems, a large portion of energy is consumed by on-chip cache accesses and data movement between cache and off-chip main memory. Reducing these memory system energy is indispensable for future microprocessors because power and thermal issues certainly become a key factor of limiting processor performance. In this paper, we discuss and evaluate how our architecture called SCIMA contributes to energy saving. SCIMA integrates software-controllable memory (SCM) into processor chip. SCIMA can save total memory system energy by using SCM under the support of compiler. The evaluation results reveal that SCIMA can reduce 5-50% of memory system energy and still faster than conventional cache based architecture.
ER -
English
