Making sense of thermoelectrics for processor thermal management and energy harvesting

A thermoelectric (TE) device can be used as a heat pump that consumes electric power to cool a processor chip, or it can be used as a heat engine that generates electricity from the heat dissipated during processor operation. To better understand the use of TE devices, we develop a fully instrumented processor-based system with controllable TE devices. We first examine the use of TE devices for energy harvesting. We identify a pitfall in previous works that can lead to wrong conclusions for TEG use by demonstrating that TEGs increase the processor's leakage power which offsets their harvested power. For thermoelectric cooling (TEC), we elucidate the intricate relationships between the processor power, thermoelectric power, and fan power. We propose a dynamic thermal management scheme (DTM) that maximizes performance under thermal constraints and given total power budgets by controlling the processor's dynamic frequency and voltage scaling (DVFS), TEC current, and fan speed. For the evaluated thermal constraints, our results demonstrate good improvements to performance at the cost of additional cooling power compared to standard DVFS+fan DTM techniques.

[1]  Saibal Mukhopadhyay,et al.  Array of Thermoelectric Coolers for On-Chip Thermal Management , 2012 .

[2]  D. Koester,et al.  Hot spot cooling using embedded thermoelectric coolers , 2006, Twenty-Second Annual IEEE Semiconductor Thermal Measurement And Management Symposium.

[3]  Kaushik Roy,et al.  Workload dependent evaluation of thin-film thermoelectric devices for on-chip cooling and energy harvesting , 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[4]  Carole-Jean Wu Architectural Thermal Energy Harvesting Opportunities for Sustainable Computing , 2014, IEEE Computer Architecture Letters.

[5]  Satish Kumar,et al.  Prospects of active cooling with integrated super-lattice based thin-film thermoelectric devices for mitigating hotspot challenges in microprocessors , 2012, 17th Asia and South Pacific Design Automation Conference.

[6]  Massoud Pedram,et al.  Platform-dependent, leakage-aware control of the driving current of embedded thermoelectric coolers , 2013, International Symposium on Low Power Electronics and Design (ISLPED).

[7]  Saibal Mukhopadhyay,et al.  An on-chip autonomous thermoelectric energy management system for energy-efficient active cooling , 2014, 2014 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

[8]  Ravi Mahajan,et al.  On-chip cooling by superlattice-based thin-film thermoelectrics. , 2009, Nature nanotechnology.

[9]  Sherief Reda,et al.  Mitigating dark-silicon problems using superlattice-based thermoelectric coolers , 2013, 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[10]  Eric Samson,et al.  Interface Material Selection and a Thermal Management Technique in Second-Generation Platforms Built on Intel Centrino Mobile Technology , 2005 .

[11]  Gao Min,et al.  Evaluation of thermoelectric modules for power generation , 1998 .

[12]  José González,et al.  Dynamic thermal management using thin-film thermoelectric cooling , 2009, ISLPED.

[13]  Massoud Pedram,et al.  Power-aware deployment and control of forced-convection and thermoelectric coolers , 2014, 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC).