Proactive temperature management in MPSoCs
Preventing thermal hot spots and large temperature variations on the die is critical for addressing the challenges in system reliability, performance, cooling cost and leakage power. Reactive thermal management methods, which take action after temperature reaches a given threshold, maintain the temp...
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| creator | Coskun, Ayse Kivilcim Rosing, Tajana Simunic Gross, Kenny C. |
| description | Preventing thermal hot spots and large temperature variations on the die is critical for addressing the challenges in system reliability, performance, cooling cost and leakage power. Reactive thermal management methods, which take action after temperature reaches a given threshold, maintain the temperature below a critical level at the cost of performance, and do not address the temperature variations. In this work, we propose a proactive thermal management approach, which estimates the future temperature using regression, and allocates workload on a multicore system to reduce and balance the temperature to avoid temperature induced problems. Our technique reduces the hot spots and temperature variations significantly in comparison to reactive strategies. |
| doi_str_mv | 10.1145/1393921.1393966 |
| format | Conference Proceeding |
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Reactive thermal management methods, which take action after temperature reaches a given threshold, maintain the temperature below a critical level at the cost of performance, and do not address the temperature variations. In this work, we propose a proactive thermal management approach, which estimates the future temperature using regression, and allocates workload on a multicore system to reduce and balance the temperature to avoid temperature induced problems. 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Reactive thermal management methods, which take action after temperature reaches a given threshold, maintain the temperature below a critical level at the cost of performance, and do not address the temperature variations. In this work, we propose a proactive thermal management approach, which estimates the future temperature using regression, and allocates workload on a multicore system to reduce and balance the temperature to avoid temperature induced problems. 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Reactive thermal management methods, which take action after temperature reaches a given threshold, maintain the temperature below a critical level at the cost of performance, and do not address the temperature variations. In this work, we propose a proactive thermal management approach, which estimates the future temperature using regression, and allocates workload on a multicore system to reduce and balance the temperature to avoid temperature induced problems. Our technique reduces the hot spots and temperature variations significantly in comparison to reactive strategies.</abstract><cop>New York, NY, USA</cop><pub>ACM</pub><doi>10.1145/1393921.1393966</doi><tpages>6</tpages></addata></record> |
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| identifier | ISBN: 9781605581095 |
| ispartof | Proceeding of the 13th international symposium on Low power electronics and design (ISLPED '08), 2008, p.165-170 |
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| language | eng |
| recordid | cdi_acm_books_10_1145_1393921_1393966_brief |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | ARMA Clocks Computer systems organization -- Dependable and fault-tolerant systems and networks Cooling Costs Energy management General and reference -- Cross-computing tools and techniques -- Performance Hardware -- Robustness multiprocessor Networks -- Network performance evaluation Permission Power system management Power system reliability Temperature Thermal degradation Thermal management |
| title | Proactive temperature management in MPSoCs |
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