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.
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