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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dutt, N. Gupta, P. Nicolau, A. Bathen, L.A.D. Gottscho, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of California, Irvine, Irvine, CA, USA (Dutt, N.; Nicolau, A.; Bathen, L.A.D.) || Electr. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA (Gupta, P.; Gottscho, M.) |
| Abstract | As the semiconductor industry continues to push the limits of sub-micron technology, the ITRS expects hardware (e.g., die-to-die, wafer-to-wafer, and chip-to-chip) variations to continue increasing over the next few decades. As a result, it is imperative for designers to build variation-aware software stacks that may adapt and opportunistically exploit said variations to increase system performance/responsiveness as well as minimize power consumption. The memory subsystem is one of the largest components in today's computing system, a main contributor to the overall power consumption of the system, and therefore one of the most vulnerable components to the effects of variations (e.g., power). This paper discusses the concept of variability-aware memory management for nanoscale computing systems. We show how to opportunistically exploit the hardware variations in on-chip and off-chip memory at the system level through the deployment of variation-aware software stacks. |
| Starting Page | 125 |
| Ending Page | 132 |
| File Size | 915842 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467330299 |
| ISSN | 21536961 |
| e-ISBN | 9781467330305 |
| DOI | 10.1109/ASPDAC.2013.6509584 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-22 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hardware Memory management Software Random access memory Power demand System-on-chip Resource management |
| Content Type | Text |
| Resource Type | Article |
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