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» Modeling GPU-CPU workloads and systems
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EUROSYS
2009
ACM
15 years 6 months ago
Automated control of multiple virtualized resources
: Virtualized data centers enable consolidation of multiple applications and sharing of multiple resources among these applications. However, current virtualization technologies ar...
Pradeep Padala, Kai-Yuan Hou, Kang G. Shin, Xiaoyu...
ICCAD
2005
IEEE
132views Hardware» more  ICCAD 2005»
15 years 3 months ago
Battery optimization vs energy optimization: which to choose and when?
— Batteries are non-ideal energy sources – minimizing the energy consumption of a battery-powered system is not equivalent to maximizing its battery life. We propose an alterna...
Ravishankar Rao, Sarma B. K. Vrudhula
EENERGY
2010
15 years 1 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
ICDE
2010
IEEE
189views Database» more  ICDE 2010»
14 years 9 months ago
Caching all plans with just one optimizer call
Abstract— Modern database management systems (DBMS) answer a multitude of complex queries on increasingly larger datasets. Given the complexities of the queries and the numerous ...
Debabrata Dash, Ioannis Alagiannis, Cristina Maier...
SOSP
2009
ACM
15 years 6 months ago
Distributed aggregation for data-parallel computing: interfaces and implementations
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
Yuan Yu, Pradeep Kumar Gunda, Michael Isard