COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Computer Laboratory Computer Architecture Group Meeting > Predictive Models for Microarchitectural Adaptation
Predictive Models for Microarchitectural AdaptationAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Prof Simon Moore. Adaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resources to the specific requirements of different programs or program phases. They have the potential to adapt the hardware cost-effectively at runtime to any application’s needs. However, one of the key challenges is how to dynamically determine the best architecture configuration at any given time, for any new workload. This talk will describe a novel control mechanism based on a predictive model for microarchitectural adaptivity control. This model is able to efficiently control adaptivity by monitoring the behaviour of an application’s different phases at runtime. It will show that using this model on SPEC 2000 can double the energy/performance efficiency of the processor when compared to the best static configuration tuned for the whole benchmark suite. This represents 74% of the improvement available if we knew the best microarchitecture for each program phase ahead of time. In addition, it will show that the overheads associated with the implementation of this scheme have a negligible impact on performance and power. This talk is part of the Computer Laboratory Computer Architecture Group Meeting series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsWildlife and Environment BN SeminarsOther talksDataFlow SuperComputing for BigData Why Do We Need Another Biography of Hitler? Joseph Banks: science, culture and the remaking of the Indo-Pacific world Recent Advances in Solid State Batteries and Beyond Li Technologies - Challenges for Fundamental Science Atmospheric Structure Revealed by Refraction of Routine Radio Transmissions from Civil Aircraft. Alzheimer's talks LARMOR LECTURE - Exoplanets, on the hunt of Universal life 'Honouring Giulio Regeni: a plea for research in risky environments' Cambridge-Lausanne Workshop 2018 - Day 1 Retinal mechanisms of non-image-forming vision Art speak |