Temperature Control of High-Performance Multi-core Platforms Using Convex Optimization

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 userdefined threshold at all instances of operation, while also reducing the hot-spots. We perform experiments on several realistic multicore benchmarks, which show that the proposed method guarantees that ...

• Type: Conference
• Year: 2008
• Where: DATE
• Authors: Srinivasan Murali, Almir Mutapcic, David Atienza, Rajesh Gupta, Stephen P. Boyd, Luca Benini, Giovanni De Micheli
• Keywords: Chip Temperature, DATE 2008, Hardware, Method Guarantees, Temperature Gradients