What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
Distributed computing, Supercomputer, Fault tolerance, Message passing and Programming paradigm are his primary areas of study.
George Bosilca combines subjects such as Input/output, Thread and Task with his study of Distributed computing.
His studies in Supercomputer integrate themes in fields like Parallel algorithm and Scalability.
His Fault tolerance research is multidisciplinary, incorporating perspectives in Concurrent computing, Process and Overhead.
As part of the same scientific family, George Bosilca usually focuses on Message passing, concentrating on Virtual machine and intersecting with Implementation, Component, Software engineering, Software and Software architecture.
George Bosilca has included themes like Theoretical computer science, POSIX Threads and Interoperability in his Programming paradigm study.
His most cited work include:
- Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation (1158 citations)
- MPICH-V: Toward a Scalable Fault Tolerant MPI for Volatile Nodes (266 citations)
- DAGuE: A generic distributed DAG engine for High Performance Computing (239 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Distributed computing, Parallel computing, Supercomputer, Scalability and Fault tolerance.
His Distributed computing research includes themes of Node, Network topology and Programming paradigm.
George Bosilca has researched Parallel computing in several fields, including Algorithm and Cholesky decomposition.
Within one scientific family, George Bosilca focuses on topics pertaining to Software under Scalability, and may sometimes address concerns connected to Software engineering.
His Fault tolerance study incorporates themes from Set, Overhead and Protocol.
His studies deal with areas such as Virtual machine and Operating system as well as Message passing.
He most often published in these fields:
- Distributed computing (47.09%)
- Parallel computing (34.47%)
- Supercomputer (26.70%)
What were the highlights of his more recent work (between 2018-2021)?
- Parallel computing (34.47%)
- Distributed computing (47.09%)
- Supercomputer (26.70%)
In recent papers he was focusing on the following fields of study:
George Bosilca focuses on Parallel computing, Distributed computing, Supercomputer, Scalability and Message Passing Interface.
In general Parallel computing study, his work on Exascale computing, Runtime system and Multi-core processor often relates to the realm of Parsec, thereby connecting several areas of interest.
George Bosilca is interested in Fault tolerance, which is a branch of Distributed computing.
His Supercomputer study combines topics in areas such as Computer engineering, Task, Sparse matrix, Parallel programming model and Computation.
His Scalability research incorporates elements of Context switch, Embedded system, Node, Execution model and Software.
His Message Passing Interface research includes elements of Consistency, Interface, Programming paradigm and Resilience.
Between 2018 and 2021, his most popular works were:
- Local rollback for resilient MPI applications with application-level checkpointing and message logging (13 citations)
- DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models (12 citations)
- Fault tolerance of MPI applications in exascale systems: The ULFM solution (9 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
His primary areas of investigation include Distributed computing, Scalability, Message Passing Interface, Overhead and Programming paradigm.
His study in Distributed computing focuses on Fault tolerance in particular.
His biological study spans a wide range of topics, including Network topology, Software, Overhead and Fault management.
George Bosilca interconnects Supercomputer, Computer engineering, Group method of data handling, Task and Node in the investigation of issues within Scalability.
His Message Passing Interface study integrates concerns from other disciplines, such as Interface and Resilience.
His research investigates the connection between Programming paradigm and topics such as Thread that intersect with issues in Parallel computing.
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