T
Tulika Mitra
Researcher at National University of Singapore
Publications - 195
Citations - 7637
Tulika Mitra is an academic researcher from National University of Singapore. The author has contributed to research in topics: Cache & Cache pollution. The author has an hindex of 41, co-authored 185 publications receiving 6872 citations. Previous affiliations of Tulika Mitra include Indian Institute of Science & Jadavpur University.
Papers
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Journal ArticleDOI
The worst-case execution-time problem—overview of methods and survey of tools
Reinhard Wilhelm,Jakob Engblom,Andreas Ermedahl,Niklas Holsti,Stephan Thesing,David Whalley,Guillem Bernat,Christian Ferdinand,Reinhold Heckmann,Tulika Mitra,Frank Mueller,Isabelle Puaut,Peter Puschner,Jan Staschulat,Per Stenström +14 more
TL;DR: Different approaches to the determination of upper bounds on execution times are described and several commercially available tools1 and research prototypes are surveyed.
Journal ArticleDOI
Chronos: A timing analyzer for embedded software
TL;DR: Chronos is an open-source distribution specifically suited to the needs of the research community, and can provide safe but tight WCET estimate of a given C program running on a complex modern processor.
Proceedings ArticleDOI
Hierarchical power management for asymmetric multi-core in dark silicon era
Thannirmalai Somu Muthukaruppan,Mihai Pricopi,Vanchinathan Venkataramani,Tulika Mitra,Sanjay Vishin +4 more
TL;DR: A hierarchical power management framework for asymmetric multi-cores that builds on control theory and coordinates multiple controllers in a synergistic manner to achieve optimal power-performance efficiency while respecting the thermal design power budget is introduced.
Proceedings ArticleDOI
Scalable custom instructions identification for instruction-set extensible processors
Pan Yu,Tulika Mitra +1 more
TL;DR: This paper presents an efficient algorithm for exact enumeration of all possible candidate instructions given the dataflow graph (DFG) corresponding to a code fragment, and achieves orders of magnitude speedup in enumerating these candidate custom instructions for very large DFGs.
Proceedings ArticleDOI
WCET centric data allocation to scratchpad memory
TL;DR: This paper develops an integer linear programming (ILP) based solution which constructs the optimal allocation assuming that all program paths are feasible, and designs fast heuristic searches that achieve near-optimal allocations for all the authors' benchmarks.