Enhanced thermal management for future processors

Ma, Mengjie; Gunther, Stephen H.; Greiner, B.; Wolff, Nikolai; Deutschle, C.; Arabi, T.

doi:10.1109/vlsic.2003.1221202

Cited by 14 publications

(3 citation statements)

References 3 publications

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“…One of the most common techniques discussed for DTM is dynamic voltage scaling, possibly with feedback control [12,17], and a variety of processors offer DVS today. There are three reasons why ILP techniques can outperform DVS despite the cubic reduction in power density that DVS provides with respect to the reduction in frequency.…”

Section: Introductionmentioning

confidence: 99%

Hybrid architectural dynamic thermal management

Skadron¹

Proceedings Design, Automation and Test in Europe Conference and Exhibition

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Section: Introductionmentioning

confidence: 99%

Hybrid architectural dynamic thermal management

Skadron¹

Proceedings Design, Automation and Test in Europe Conference and Exhibition

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“…Reducing the overall energy usage is an area of interest across multiple disciplines. The focus of most efforts on energy/power saving in server systems is on processor elements (Jing, 2011), (Chaparro, 2007), (Ma, 2003), (Tschanz, 2003), (Brooks, 2000), (Sato, 2007), (Ghosh, 2011), (Rabaey, 2003). Approaches for power saving of processors often adopt both the software-based energy-aware workload scheduling (Jing, 2011), (Lin, 2011), (Luo, 2013) and hardware-based circuit and architectural power management techniques to effectively optimize energy usage.…”

Section: Introductionmentioning

confidence: 99%

Effects of Active Cooling on Workload Management in High Performance Processors

Park

Yang

2015

Proceedings of the 5th International Conference on Cloud Computing and Services Science

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This paper presents an energy-efficient workload scheduling methodology for multi-core multi-processor systems under actively cooled environment that improves overall system power performance with minimal response time degradation. Using a highly efficient miniature-scale refrigeration system, we show that active-cooling by refrigeration on a per-server basis not only leads to substantial power-performance improvement, but also improves the overall system performance without increasing the overall system power including the cost of cooling. Based on the measured results, we present a model that captures different relations and parameters of multi-core processor and the refrigeration system. This model is extended to illustrate the potential of power optimization of multi-core multi-processor systems and to investigate different methodologies of workload scheduling under the actively cooled environment to maximize power efficiency while minimizing response time. We propose an energy-efficient workload scheduling methodology that results in total consumption comparable to the spatial subsetting scheme but with faster response time under the actively cooled environment. The actively cooled system results in ≥29% of power reduction over the non-refrigerated design across the entire range of utilization levels. The proposed methodology is further combined with the G/G/m-model to investigate the trade-off between the total power and target SLA requirements.

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“…As a result, power and heat density of processors has increased exponentially with Moore's Law to the point that they affect system performance, accelerate aging of the chip, and increase the cost of cooling solutions. As an effort to reduce heat dissipation, researchers have developed various dynamic thermal management (DTM) tech-niques, such as clock gating and dynamic voltage scaling [2,3,4,9]. DTM techniques monitor and control the temperature of the chip at runtime.…”

Section: Introductionmentioning

confidence: 99%

Using Performance Counters for Runtime Temperature Sensing in High-Performance Processors

Lee

Skadron

19th IEEE International Parallel and Distributed Processing Symposium

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As energy consumption in high-performance systems has increased, thermal management has become a big challenge. Providing a cost-effective and detailed temperature sensing mechanism is crucial to effectively employ a thermal management technique. Existing hardware sensors are too costly to implement and add additional heat while software simulations fail to account for all possible hardware effects. In this paper, we describe a software solution for temperature sensing that uses real hardware resources such as performance counters. The resulting temperature model provides a detailed spatial gradient of the processor and executes at runtime. In particular, the model is configured for the Pentium 4 processor. We run SPEC2000 benchmarks to analyze the thermal behavior of applications and explain the potential benefits of using our model for temperatureaware research.

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Enhanced thermal management for future processors

Cited by 14 publications

References 3 publications

Hybrid architectural dynamic thermal management

Hybrid architectural dynamic thermal management

Effects of Active Cooling on Workload Management in High Performance Processors

Using Performance Counters for Runtime Temperature Sensing in High-Performance Processors

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