What is she best known for?
The fields of study she is best known for:
- Operating system
- Central processing unit
- Programming language
Her scientific interests lie mostly in Embedded system, Design space exploration, Computer architecture, Multi-core processor and Parallel computing.
Her work in Embedded system addresses subjects such as Set, which are connected to disciplines such as Network architecture and Interconnection.
Her Design space exploration study incorporates themes from Multi-objective optimization, Speedup and Heuristic.
Cristina Silvano interconnects Applications architecture, Service-oriented modeling, Cellular architecture and CPU cache in the investigation of issues within Computer architecture.
Her Multi-core processor course of study focuses on Distributed computing and Topology and Tree.
Her Instruction set and Very long instruction word study in the realm of Parallel computing interacts with subjects such as Synchronization and Instruction scheduling.
Her most cited work include:
- Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems (269 citations)
- Address bus encoding techniques for system-level power optimization (131 citations)
- ReSPIR: A Response Surface-Based Pareto Iterative Refinement for Application-Specific Design Space Exploration (99 citations)
What are the main themes of her work throughout her whole career to date?
Cristina Silvano mostly deals with Design space exploration, Embedded system, Parallel computing, Computer architecture and Compiler.
The various areas that Cristina Silvano examines in her Design space exploration study include Multi-core processor and Multi-objective optimization, Mathematical optimization, Heuristic.
Her research integrates issues of Multiprocessing, Software and Overhead in her study of Embedded system.
Many of her studies involve connections with topics such as Set and Parallel computing.
In her study, which falls under the umbrella issue of Computer architecture, Topology is strongly linked to Network topology.
Her Compiler research focuses on Power management and how it connects with Resource and Distributed computing.
She most often published in these fields:
- Design space exploration (30.62%)
- Embedded system (29.67%)
- Parallel computing (21.53%)
What were the highlights of her more recent work (between 2014-2021)?
- Compiler (13.88%)
- Speedup (13.88%)
- Parallel computing (21.53%)
In recent papers she was focusing on the following fields of study:
Cristina Silvano mainly investigates Compiler, Speedup, Parallel computing, Distributed computing and Software.
Her Compiler research incorporates themes from Domain and Algorithm, Heuristic.
As a part of the same scientific family, she mostly works in the field of Speedup, focusing on Benchmark and, on occasion, Bayesian network.
The concepts of her Parallel computing study are interwoven with issues in Set, Design space exploration and Time management.
Her Design space exploration research is under the purview of Embedded system.
Her Software research is multidisciplinary, incorporating perspectives in Overhead and Multi-core processor.
Between 2014 and 2021, her most popular works were:
- A Survey on Compiler Autotuning using Machine Learning (58 citations)
- COBAYN: Compiler Autotuning Framework Using Bayesian Networks (38 citations)
- MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning (37 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
Her primary areas of study are Compiler, Speedup, Distributed computing, Supercomputer and Efficient energy use.
Her Speedup study deals with the bigger picture of Parallel computing.
In her research, Porting is intimately related to Compiler correctness, which falls under the overarching field of Parallel computing.
Cristina Silvano focuses mostly in the field of Supercomputer, narrowing it down to topics relating to Software and, in certain cases, Overhead.
Her study focuses on the intersection of Overhead and fields such as Source lines of code with connections in the field of Embedded system.
Her study in Design space exploration is interdisciplinary in nature, drawing from both Electronic system-level design and verification, Pareto principle, Mathematical optimization and Iterative refinement.
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