H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 74 Citations 29,174 223 World Ranking 624 National Ranking 382

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the American Academy of Arts and Sciences

2018 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to power-aware computing and energy-constrained mobile sensor networks.

2010 - IEEE Fellow For contributions to power-efficient computer architecture and systems design

2009 - ACM Fellow For contributions in power-aware computing.

Overview

What is she best known for?

The fields of study she is best known for:

  • Operating system
  • Central processing unit
  • Programming language

Her primary scientific interests are in Embedded system, Parallel computing, Cache, Real-time computing and Cache coloring. The Embedded system study combines topics in areas such as CPU power dissipation, Software system, Chip, Low-power electronics and Clock rate. Her Parallel computing research integrates issues from Scalability, Compiler and Computer engineering.

Her biological study spans a wide range of topics, including Optimizing compiler and Data structure. Her Real-time computing study which covers Frequency scaling that intersects with Set, Power budget, Workload and Benchmark. Her Cache coloring study incorporates themes from Cache pollution, Cache algorithms and Shared memory.

Her most cited work include:

  • Wattch: a framework for architectural-level power analysis and optimizations (2571 citations)
  • Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet (1783 citations)
  • Dynamic thermal management for high-performance microprocessors (784 citations)

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

Her primary areas of investigation include Parallel computing, Embedded system, Compiler, Quantum computer and Software. Her Parallel computing research is multidisciplinary, incorporating perspectives in Chip and Translation lookaside buffer. Her work carried out in the field of Embedded system brings together such families of science as Clock rate, Real-time computing and Frequency scaling.

Her Compiler research includes elements of Scalability and Theoretical computer science. In general Quantum computer, her work in Quantum error correction is often linked to Computer engineering and Computation linking many areas of study. Her work investigates the relationship between Software and topics such as Computer architecture that intersect with problems in Field-programmable gate array.

She most often published in these fields:

  • Parallel computing (26.17%)
  • Embedded system (14.77%)
  • Compiler (15.10%)

What were the highlights of her more recent work (between 2017-2021)?

  • Quantum computer (13.42%)
  • Qubit (8.39%)
  • Computer engineering (9.73%)

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

Margaret Martonosi spends much of her time researching Quantum computer, Qubit, Computer engineering, Programming language and Compiler. Her study in the fields of Quantum circuit under the domain of Qubit overlaps with other disciplines such as Coherence, Parallel computing, Job shop scheduling and Applied mathematics. While working in this field, she studies both Parallel computing and Braid.

Her research in Computer engineering intersects with topics in Scalability, Reliability, Optimizing compiler, Interface and Software portability. Her study looks at the intersection of Programming language and topics like Shared memory with Stack-based memory allocation, Memory management and Stack. In Compiler, Margaret Martonosi works on issues like Programming paradigm, which are connected to Dennard scaling, Multi-core processor and Software prototyping.

Between 2017 and 2021, her most popular works were:

  • Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers (104 citations)
  • Full-stack, real-system quantum computer studies: architectural comparisons and design insights (45 citations)
  • Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers (42 citations)

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

  • Operating system
  • Central processing unit
  • Programming language

Margaret Martonosi mainly focuses on Quantum computer, Qubit, Computer engineering, Computation and Software. Many of her research projects under Quantum computer are closely connected to Benchmark, Scalability and Debugging with Benchmark, Scalability and Debugging, tying the diverse disciplines of science together. Her research on Computer engineering often connects related topics like Compiler.

Her work deals with themes such as Error detection and correction and Executable, which intersect with Compiler. Margaret Martonosi interconnects Optimizing compiler, Cache coherence, Microarchitecture and Serialization in the investigation of issues within Software. Her Microarchitecture research incorporates themes from Speculative execution, Computer hardware and Cache.

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

Wattch: a framework for architectural-level power analysis and optimizations

David Brooks;Vivek Tiwari;Margaret Martonosi.
international symposium on computer architecture (2000)

3642 Citations

Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet

Philo Juang;Hidekazu Oki;Yong Wang;Margaret Martonosi.
architectural support for programming languages and operating systems (2002)

2785 Citations

Dynamic thermal management for high-performance microprocessors

D. Brooks;M. Martonosi.
high performance computer architecture (2001)

1010 Citations

Cache decay: exploiting generational behavior to reduce cache leakage power

Stefanos Kaxiras;Zhigang Hu;Margaret Martonosi.
international symposium on computer architecture (2001)

937 Citations

Hardware design experiences in ZebraNet

Pei Zhang;Christopher M. Sadler;Stephen A. Lyon;Margaret Martonosi.
international conference on embedded networked sensor systems (2004)

813 Citations

An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget

C. Isci;A. Buyuktosunoglu;C.-Y. Chen;P. Bose.
international symposium on microarchitecture (2006)

770 Citations

Runtime power monitoring in high-end processors: methodology and empirical data

Canturk Isci;Margaret Martonosi.
international symposium on microarchitecture (2003)

740 Citations

Techniques for Multicore Thermal Management: Classification and New Exploration

James Donald;Margaret Martonosi.
international symposium on computer architecture (2006)

630 Citations

Impala: a middleware system for managing autonomic, parallel sensor systems

Ting Liu;Margaret Martonosi.
acm sigplan symposium on principles and practice of parallel programming (2003)

614 Citations

Erasure-coding based routing for opportunistic networks

Yong Wang;Sushant Jain;Margaret Martonosi;Kevin Fall.
acm special interest group on data communication (2005)

592 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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