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Deepak A. Mathaikutty, Ph.D.

Affiliations: 
2007 Virginia Polytechnic Institute and State University, Blacksburg, VA, United States 
Area:
Computer Engineering
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"Deepak Mathaikutty"
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Sandeep K. Shukla grad student 2007 Virginia Tech
 (Metamodeling Driven IP Reuse for System-on-chip Integration and Microprocessor Design.)

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Publications

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Davies M, Srinivasa N, Lin T, et al. (2018) Loihi: A Neuromorphic Manycore Processor with On-Chip Learning Ieee Micro. 38: 82-99
Ahuja S, Mathaikutty DA, Lakshminarayana A, et al. (2009) SCoPE: Statistical regression based power models for co-processors power estimation Journal of Low Power Electronics. 5: 407-415
Sangiovanni-Vincentelli A, Yang G, Shukla SK, et al. (2009) Metamodeling: An emerging representation paradigm for system-level design Ieee Design and Test of Computers. 26: 54-69
Mathaikutty DA, Kodakara SV, Dingankar A, et al. (2008) MMV: A metamodeling based microprocessor validation environment Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 16: 339-352
Suhaib S, Mathaikutty DA, Shukla SK. (2008) A trace-based framework for verifiable GALS composition of IPs Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 16: 1176-1186
Mathaikutty DA, Shukla SK. (2008) MCF: A metamodeling-based component composition framework - Composing SystemC IPs for executable system models Ieee Transactions On Very Large Scale Integration (Vlsi) Systems. 16: 792-805
Suhaib S, Jose BA, Shukla SK, et al. (2008) Formal transformation of a KPN specification to a GALS implementation Proceedings - 2008 Forum On Specification, Verification and Design Languages, Fdl'08. 84-89
Suhaib S, Mathaikutty D, Shukla S. (2008) Dataflow Architectures for GALS Electronic Notes in Theoretical Computer Science. 200: 33-50
Mathaikutty DA, Shukla SK. (2008) Mining metadata for composability of IPs from SystemC IP library Design Automation For Embedded Systems. 12: 63-94
Mathaikutty DA, Patel HD, Shukla SK, et al. (2008) SML-Sys: A functional framework with multiple models of computation for modeling heterogeneous system Design Automation For Embedded Systems. 12: 1-30
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