Abstract
The diminishing returns provided by voltage scaling have led to a recent paradigm shift toward so-called 'approximate computing,' where computation accuracy is traded off for cost in error-tolerant applications. In this paper, a novel approach to achieving the power-performance-area versus data integrity tradeoff is proposed by integrating robust static memory cells and error-prone dynamic cells within a single array. In addition, the resulting integrated dynamic and static random access memory (iD-SRAM) provides the ability to trade off power consumption and accuracy on-the-fly according to the current conditions and operating mode. A 4-kB iD-SRAM array was implemented in a low-power, 65-nm CMOS technology, providing as much as an 80% power reduction and a 20% area reduction as compared with standard approaches, when applied to a video decoder at 500 MHz.
| Original language | English |
|---|---|
| Article number | 7956276 |
| Pages (from-to) | 2411-2418 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Very Large Scale Integration (VLSI) Systems |
| Volume | 25 |
| Issue number | 9 |
| DOIs | |
| State | Published - 1 Sep 2017 |
| Externally published | Yes |
Keywords
- Approximate computing
- DRAM
- PPA tradeoff
- SRAM
- hybrid memory
- integrated dynamic and static random access memory (iD-SRAM)
- low power
- video decoding
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Electrical and Electronic Engineering
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