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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhibo Wang Yongpan Liu Yinan Sun Yang Li Daming Zhang Huazhong Yang |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of EE, Tsinghua Univ., Beijing, China (Zhibo Wang; Yongpan Liu; Yinan Sun; Daming Zhang; Huazhong Yang) || Dept. of Microelectron. & Nanoelectron., Tsinghua Univ., Beijing, China (Yang Li) |
| Abstract | With the fast development of Internet of Things (IoTs) in recent years, many IoT applications, such as structure health monitoring, surveillance camera and etc, require both extensive computation for burst-mode signal processing as well as ultra low power continuous operations. However, most of conventional IoT processors focus on ultra low power consumption and cannot satisfy those demands. This paper proposes a novel energy-efficient heterogenous dual-core processor, which includes both an ultra low power near-threshold CoreL and a fast CoreH to meet those emerging requirements. Furthermore, an optimal framework is proposed to realize energy efficient task mapping and scheduling. The processor is fabricated and its energy consumption in low power mode is as low as 7.7pJ/cycle and outperforms related work. Detailed analysis under several real applications shows that up to 2.62× energy efficiency improvements can be achieved without deadline miss compared with the high-performance-only signle core architecture. |
| Starting Page | 2301 |
| Ending Page | 2304 |
| File Size | 545301 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479983919 |
| DOI | 10.1109/ISCAS.2015.7169143 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-24 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer architecture Processor scheduling Random access memory Semiconductor device measurement Benchmark testing Monitoring Energy consumption |
| Content Type | Text |
| Resource Type | Article |
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