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Rajesh Gupta

Researcher at Post Graduate Institute of Medical Education and Research

Publications -  1111
Citations -  26972

Rajesh Gupta is an academic researcher from Post Graduate Institute of Medical Education and Research. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 78, co-authored 936 publications receiving 24158 citations. Previous affiliations of Rajesh Gupta include National Institute of Foundry and Forge Technology & World Health Organization.

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Proceedings ArticleDOI

NV-Heaps: making persistent objects fast and safe with next-generation, non-volatile memories

TL;DR: A lightweight, high-performance persistent object system called NV-heaps is implemented that provides transactional semantics while preventing these errors and providing a model for persistence that is easy to use and reason about.
Proceedings ArticleDOI

Leakage aware dynamic voltage scaling for real-time embedded systems

TL;DR: Simulation experiments show that the critical speed slowdown results in up to 5% energy gains over a leakage oblivious dynamic voltage scaling, and the Procrastination scheduling scheme extends the sleep intervals to 5 times, resulting in an additional 18% energy gain, while meeting all timing requirements.
Journal ArticleDOI

Hardware-software cosynthesis for digital systems

TL;DR: The authors demonstrate the feasibility of synthesizing heterogeneous systems by using timing constraints to delegate tasks between hardware and software so that performance requirements can be met.
Proceedings ArticleDOI

CoolSpots: reducing the power consumption of wireless mobile devices with multiple radio interfaces

TL;DR: Experimental validation of the CoolSpot system on a mobile research platform shows substantial energy savings: more than a 50% reduction in energy consumption of the wireless subsystem is possible, with an associated increase in the effective battery lifetime.
Proceedings ArticleDOI

Occupancy-driven energy management for smart building automation

TL;DR: The design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices is presented, low-cost, wireless, and incrementally deployable within existing buildings.