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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Inki Hong Kirovski, D. Gang Qu Potkonjak, M. Srivastava, M.B. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA (Inki Hong) |
| Abstract | The growing class of portable systems, such as personal computing and communication devices, has resulted in a new set of system design requirements, mainly characterized by dominant importance of power minimization and design reuse. We develop the design methodology for the low power core-based real-time system-on-chip based on dynamically variable voltage hardware. The key challenge is to develop effective scheduling techniques that treat voltage as a variable to be determined, in addition to the conventional task scheduling and allocation. Our synthesis technique also addresses the selection of the processor core and the determination of the instruction and data cache size and configuration so as to fully exploit dynamically variable voltage hardware, which result In significantly lower power consumption for a set of target applications than existing techniques. The highlight of the proposed approach is the non-preemptive scheduling heuristic which results in solutions very close to optimal ones for many test cases. The effectiveness of the approach is demonstrated on a variety of modem industrial-strength multimedia and communication applications. |
| Starting Page | 176 |
| Ending Page | 181 |
| File Size | 893534 |
| Page Count | 6 |
| File Format | |
| ISBN | 0897919645 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Voltage Job shop scheduling Processor scheduling Hardware Portable computers Design methodology Real time systems System-on-a-chip Energy consumption Testing |
| Content Type | Text |
| Resource Type | Article |
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