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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kim, Nam Sung Sinkar, Abhishek A. Wang, Hao |
| Abstract | Recent studies on near-threshold computing (NTC) investigated an optimum supply voltage which yields minimum energy per operation $(E_{min}),$ and proposed various optimization techniques at the device, circuit, and architecture levels to further minimize $E_{min}.$ However, most of these studies often overlooked the significance of (i) energy consumption of off-chip memory accesses; (ii) energy loss of voltage regulators (VRs); and (iii) the cost of chip area in NTC environment. In this paper, we first demonstrate the increasing significance of (i) and (ii) in NTC environment with a comprehensive set of device, circuit, and architectural-level models. Second, we explore technology optimization to improve the trade-off between platform energy and chip area considering (iii) in NTC environment. The experimental results show that our optimized technology achieves 4% to 21% energy reduction for various chip area constraints, achieving significant improvement in trade-off between platform energy and chip area for a wide range of parallel benchmarks. |
| Starting Page | 318 |
| Ending Page | 325 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479910694 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-11-18 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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