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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Murali, S. Mutapcic, A. Atienza, D. Gupta, R. Boyd, S. Benini, L. De Micheli, G. |
| Copyright Year | 2008 |
| Description | Author affiliation: LSI, EPFL, Lausanne (Murali, S.) |
| Abstract | With technology advances, the number of cores integrated on a chip and their speed of operation is increasing. This, in turn is leading to a significant increase in chip temperature. Temperature gradients and hot-spots not only affect the performance of the system, but also lead to unreliable circuit operation and affect the life-time of the chip. Meeting the temperature constraints and reducing the hot-spots are critical for achieving reliable and efficient operation of complex multi-core systems. In this work, we present Pro-Temp, a convex optimization based method that pro-actively controls the temperature of the cores, while minimizing the power consumption and satisfying application performance constraints. The method guarantees that the temperature of the cores are below a user- defined threshold at all instances of operation, while also reducing the hot-spots. We perform experiments on several realistic multi-core benchmarks, which show that the proposed method guarantees that the cores never exceed the maximum temperature limit, while matching the application performance requirements. We compare this to traditional methods, where we find several temperature violations during the operation of the system. |
| Starting Page | 110 |
| Ending Page | 115 |
| File Size | 289844 |
| Page Count | 6 |
| File Format | |
| ISBN | 9783981080131 |
| DOI | 10.1109/DATE.2008.4484671 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-10 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | European Design Automation Association (EDAA) |
| Subject Keyword | Temperature control Frequency Thermal management Energy consumption Power system management Circuits Power system reliability Permission Energy management Large scale integration static and dynamic optimization Thermal-aware design temperature control dynamic frequency scaling |
| Content Type | Text |
| Resource Type | Article |
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