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» Modeling GPU-CPU workloads and systems
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EUROSYS
2009
ACM
14 years 7 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»
14 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
14 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»
13 years 10 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
14 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