A
Arkadeb Ghosal
Researcher at National Instruments
Publications - 23
Citations - 539
Arkadeb Ghosal is an academic researcher from National Instruments. The author has contributed to research in topics: Dataflow & Communications protocol. The author has an hindex of 10, co-authored 23 publications receiving 499 citations. Previous affiliations of Arkadeb Ghosal include Sadia S.A..
Papers
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Book
Understanding and Using the Controller Area Network Communication Protocol: Theory and Practice
TL;DR: This book to offers a hands-on guide to designing, analyzing and debugging a communication infrastructure based on the Controller Area Network (CAN) bus, and offers a comprehensive range of architectural solutions and domains of analysis.
Journal ArticleDOI
Schedule Optimization of Time-Triggered Systems Communicating Over the FlexRay Static Segment
TL;DR: This work studies the problem of the ECU and FlexRay bus scheduling synthesis from the perspective of the application designer, interested in optimizing the scheduling subject to timing constraints with respect to latency- or extensibility-related metric functions and provides solutions for a task and signal scheduling problem.
Patent
Optimization of a data flow program based on access pattern information
Guoqiang Wang,Kaushik Ravindran,Rhishikesh Limaye,Guang Yang,Arkadeb Ghosal,Hugo A. Andrade,John R. Allen,Jacob Kornerup,I.C. Wong,Jeffrey N. Correll,Michael J. Trimborn +10 more
TL;DR: In this paper, access pattern information for a data flow diagram may be received, e.g., input pattern information specifying cycles on which tokens are consumed by at least one of the actors, or output pattern information describing cycle on which the tokens are produced by one or more actors.
Proceedings ArticleDOI
Scheduling the FlexRay bus using optimization techniques
Haibo Zeng,Wei Zheng,Marco Di Natale,Arkadeb Ghosal,Paolo Giusto,Alberto Sangiovanni-Vincentelli +5 more
TL;DR: This work studies the problem of FlexRay bus scheduling from the perspective of the application designer, interested in optimizing the performance of application related timing metrics or extensibility and provides solutions for different task scheduling policies on existing industry standards based on a mixed integer linear programming (MILP) framework.