C
Cristian Perfumo
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 24
Citations - 847
Cristian Perfumo is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Population & Transactional memory. The author has an hindex of 12, co-authored 24 publications receiving 772 citations. Previous affiliations of Cristian Perfumo include Polytechnic University of Catalonia & University of Newcastle.
Papers
More filters
Journal ArticleDOI
Load management: Model-based control of aggregate power for populations of thermostatically controlled loads
TL;DR: In this paper, the authors developed a mathematical model aimed at the design of a model-based feedback control strategy, which analytically characterises the aggregate power response of a population of ACs to a simultaneous step change in temperature set points.
Journal ArticleDOI
A review of thermal energy storage technologies and control approaches for solar cooling
Sergio Pintaldi,Sergio Pintaldi,Cristian Perfumo,Subbu Sethuvenkatraman,Stephen White,Gary Rosengarten +5 more
TL;DR: In this article, a review of thermal storage media and system design options suitable for solar cooling applications is presented, focusing on high temperature (>100°C) high efficiency cooling applications that have been largely ignored in existing reviews.
Proceedings ArticleDOI
EazyHTM: eager-lazy hardware transactional memory
Sasa Tomic,Cristian Perfumo,Chinmay Kulkarni,Adria Armejach,Adrian Cristal,Osman Unsal,Tim Harris,Mateo Valero +7 more
TL;DR: A new scalable HTM architecture is shown that performs comparably to the state-of-the-art and can be implemented by minor modifications to the MESI protocol rather than re-engineering it from the ground up and performs on average 7% faster than scalable-TCC.
Journal ArticleDOI
Mapping the Effect of Ambient Temperature on the Power Demand of Populations of Air Conditioners
TL;DR: A new mathematical model is developed to map the effect of ambient temperature to the aggregate demand response of a heterogeneous population of ACs, which can be used to estimate the thermal parameters that characterize aggregate demand using available local weather and demand data, with no need for additional metering or direct engagement of grid users.
Proceedings ArticleDOI
The limits of software transactional memory (STM): dissecting Haskell STM applications on a many-core environment
Cristian Perfumo,Nehir Sonmez,Srdjan Stipic,Osman Unsal,Adrian Cristal,Tim Harris,Mateo Valero +6 more
TL;DR: A framework to profile the execution of the benchmark applications and to collect detailed runtime data on their transactional behavior, running them on a 128-core multiprocessor and proposing new transactional performance metrics.