H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 70 Citations 17,692 504 World Ranking 841 National Ranking 504
Electronics and Electrical Engineering H-index 55 Citations 10,531 353 World Ranking 799 National Ranking 379

Research.com Recognitions

Awards & Achievements

2014 - ACM Fellow For contributions to embedded architecture exploration, and service to electronic design automation and embedded systems.

2007 - ACM Distinguished Member


What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Artificial intelligence

His main research concerns Embedded system, Parallel computing, Computer architecture, Memory management and Cache. His Embedded system research includes elements of Non-uniform memory access, Computer hardware and Distributed memory. His Parallel computing research incorporates themes from Schedule, Bottleneck and Compiler.

In Computer architecture, he works on issues like Architecture description language, which are connected to Very long instruction word. The concepts of his Cache study are interwoven with issues in Energy consumption and Task. His Interleaved memory research is multidisciplinary, incorporating elements of Registered memory and Memory map.

His most cited work include:

  • High ― Level Synthesis: Introduction to Chip and System Design (924 citations)
  • High — Level Synthesis (636 citations)
  • EXPRESSION: a language for architecture exploration through compiler/simulator retargetability (384 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Embedded system, Computer architecture, Parallel computing, High-level synthesis and System on a chip. The Embedded system study combines topics in areas such as Cache, Energy consumption, Memory management, Software and Cache-only memory architecture. The various areas that Nikil Dutt examines in his Computer architecture study include Compiler, Design space exploration and Architecture description language.

His research on Parallel computing often connects related topics like Scheduling. His System on a chip research integrates issues from Multiprocessing and Electronic engineering. Nikil Dutt has researched Interleaved memory in several fields, including Registered memory and Memory map.

He most often published in these fields:

  • Embedded system (35.92%)
  • Computer architecture (18.97%)
  • Parallel computing (18.82%)

What were the highlights of his more recent work (between 2015-2021)?

  • Embedded system (35.92%)
  • Efficient energy use (5.89%)
  • Distributed computing (7.61%)

In recent papers he was focusing on the following fields of study:

Nikil Dutt mainly focuses on Embedded system, Efficient energy use, Distributed computing, Resource management and Artificial intelligence. His study in Embedded system is interdisciplinary in nature, drawing from both Interleaved memory, Flat memory model, Memory management and Software. His biological study spans a wide range of topics, including Uniform memory access and Shared memory.

Memory management is often connected to Computer architecture in his work. His studies deal with areas such as Energy consumption, Energy, Real-time computing and Graphics as well as Efficient energy use. His Distributed computing research is multidisciplinary, incorporating perspectives in Workload, Power management, Dynamic priority scheduling, Exploit and Multi-core processor.

Between 2015 and 2021, his most popular works were:

  • HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT (66 citations)
  • Toward Smart Embedded Systems: A Self-aware System-on-Chip (SoC) Perspective (55 citations)
  • SPARTA: runtime task allocation for energy efficient heterogeneous many-cores (50 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Artificial intelligence
  • Central processing unit

His primary areas of study are Embedded system, Efficient energy use, Distributed computing, Artificial intelligence and Software. He studies System on a chip, a branch of Embedded system. Nikil Dutt combines subjects such as Exploit and Graphics with his study of Efficient energy use.

His studies in Distributed computing integrate themes in fields like Multi-core processor, Dynamic priority scheduling, Neuron and Reinforcement learning. His research in the fields of Neuromorphic engineering and Recurrent neural network overlaps with other disciplines such as Smooth pursuit and Retinal. His Software research is multidisciplinary, relying on both Model-based design, Software engineering and Function.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

High ― Level Synthesis: Introduction to Chip and System Design

Daniel D. Gajski;Nikil D. Dutt;Allen C.-H. Wu;Steve Y.-L. Lin.

1983 Citations

High — Level Synthesis

Daniel D. Gajski;Nikil D. Dutt;Allen C-H Wu;Steve Y-L Lin.

1005 Citations

EXPRESSION: a language for architecture exploration through compiler/simulator retargetability

Ashok Halambi;Peter Grun;Vijay Ganesh;Asheesh Khare.
design, automation, and test in europe (1999)

587 Citations

Data and memory optimization techniques for embedded systems

P. R. Panda;F. Catthoor;N. D. Dutt;K. Danckaert.
ACM Transactions on Design Automation of Electronic Systems (2001)

528 Citations

SPARK: a high-level synthesis framework for applying parallelizing compiler transformations

S. Gupta;N. Dutt;R. Gupta;A. Nicolau.
international conference on vlsi design (2003)

485 Citations

On-Chip Communication Architectures: System on Chip Interconnect

Sudeep Pasricha;Nikil Dutt.

426 Citations

Efficient utilization of scratch-pad memory in embedded processor applications

Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau.
european design and test conference (1997)

396 Citations

Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration

Preeti Ranjan Panda;Alexandru Nicolau;Nikil Dutt.

342 Citations

On-chip vs. off-chip memory: the data partitioning problem in embedded processor-based systems

Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau.
ACM Transactions on Design Automation of Electronic Systems (2000)

320 Citations

Partitioned register files for VLIWs: a preliminary analysis of tradeoffs

Andrea Capitanio;Nikil Dutt;Alexandru Nicolau.
international symposium on microarchitecture (1992)

229 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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