What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
The scientist’s investigation covers issues in Parallel computing, Embedded system, Worst-case execution time, Cache and Distributed computing.
His Parallel computing research is multidisciplinary, incorporating elements of Heuristic and Integer programming.
Tulika Mitra combines subjects such as Model checking, Dark silicon and Software with his study of Embedded system.
He has researched Worst-case execution time in several fields, including Extensibility and Branch predictor.
His Branch predictor research includes elements of Out-of-order execution, Process, Probabilistic timing analysis and Basic block.
In his research, Central processing unit, Dynamic voltage frequency scaling, Load balancing and Frequency scaling is intimately related to Power management, which falls under the overarching field of Distributed computing.
His most cited work include:
- The worst-case execution-time problem—overview of methods and survey of tools (1487 citations)
- Chronos: A timing analyzer for embedded software (173 citations)
- Scalable custom instructions identification for instruction-set extensible processors (163 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Parallel computing, Embedded system, Cache, Computer architecture and Distributed computing.
Tulika Mitra has included themes like Scalability and Scheduling, Worst-case execution time in his Parallel computing study.
His Embedded system research incorporates themes from Multiprocessing, Software and Multi-core processor.
His work carried out in the field of Cache brings together such families of science as Speculative execution and Pipeline.
His research in Computer architecture tackles topics such as Field-programmable gate array which are related to areas like Design space exploration.
Tulika Mitra interconnects Power management and Task in the investigation of issues within Distributed computing.
He most often published in these fields:
- Parallel computing (36.36%)
- Embedded system (24.75%)
- Cache (19.70%)
What were the highlights of his more recent work (between 2018-2021)?
- Parallel computing (36.36%)
- Compiler (9.60%)
- Software (10.61%)
In recent papers he was focusing on the following fields of study:
Parallel computing, Compiler, Software, Distributed computing and Embedded system are his primary areas of study.
The various areas that he examines in his Parallel computing study include Scalability and Multi threaded.
His Compiler study combines topics in areas such as Computer security, Schedule, Dataflow, Static analysis and Performance per watt.
The study incorporates disciplines such as Event, Computation and Mobile computing in addition to Software.
His research in Distributed computing focuses on subjects like Latency, which are connected to Programmer, Access time and Integer programming.
His Embedded system research integrates issues from Wireless, Physical layer, Scratchpad memory and Network packet.
Between 2018 and 2021, his most popular works were:
- High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors (30 citations)
- Synergy: An HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC (13 citations)
- OPTiC: Optimizing Collaborative CPU–GPU Computing on Mobile Devices With Thermal Constraints (12 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
His main research concerns Parallel computing, Cache, Throughput, Speculative execution and State.
His Cache research is multidisciplinary, incorporating perspectives in Instruction set and Task analysis.
His research integrates issues of Cover, Information leakage, Application software and Symbolic execution in his study of Speculative execution.
His State research focuses on subjects like Cyber-physical system, which are linked to Computer security.
His Computer architecture study incorporates themes from Symmetric multiprocessor system, Field-programmable gate array, Hardware acceleration and Speedup.
His Multi-core processor research incorporates elements of Pipeline, Overhead, Edge device and Design space exploration.
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