What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
His primary areas of study are Parallel computing, Supercomputer, Distributed computing, Operating system and Message Passing Interface.
His Parallel computing research incorporates themes from Computation, Theoretical computer science and Line.
Marc Snir usually deals with Supercomputer and limits it to topics linked to Software and Exascale computing and Software engineering.
He interconnects Embedded system and Resilience in the investigation of issues within Operating system.
Marc Snir has included themes like Construct, Backward compatibility and Implementation in his Message Passing Interface study.
In his research, Subroutine, Software portability, Deadlock and Workstation is intimately related to Interface, which falls under the overarching field of Construct.
His most cited work include:
- MPI: The Complete Reference (2132 citations)
- The International Exascale Software Project roadmap (580 citations)
- MPI - The Complete Reference: Volume 1, The MPI Core (336 citations)
What are the main themes of his work throughout his whole career to date?
Marc Snir mainly investigates Parallel computing, Distributed computing, Supercomputer, Operating system and Scalability.
His work in Parallel computing covers topics such as Computation which are related to areas like Discrete mathematics.
His work carried out in the field of Distributed computing brings together such families of science as Multithreading, Thread and Programming paradigm.
His study on Operating system is mostly dedicated to connecting different topics, such as Message passing.
He is involved in the study of Message passing that focuses on Message Passing Interface in particular.
His Shared memory research is multidisciplinary, incorporating elements of Parallel algorithm, Uniform memory access, Speedup and MIMD.
He most often published in these fields:
- Parallel computing (39.84%)
- Distributed computing (13.94%)
- Supercomputer (13.94%)
What were the highlights of his more recent work (between 2010-2020)?
- Parallel computing (39.84%)
- Supercomputer (13.94%)
- Distributed computing (13.94%)
In recent papers he was focusing on the following fields of study:
Marc Snir focuses on Parallel computing, Supercomputer, Distributed computing, Fault tolerance and Software.
His Parallel computing study incorporates themes from Multithreading, Scalability and Compiler.
In his study, Resilience is inextricably linked to Data science, which falls within the broad field of Supercomputer.
His Distributed computing study combines topics from a wide range of disciplines, such as Thread and Programming paradigm.
His research investigates the connection with Software and areas like Software engineering which intersect with concerns in Petascale computing.
His study on Shared memory also encompasses disciplines like
- Parallel algorithm and related Combinatorics, Time complexity and Upper and lower bounds,
- Computer architecture that intertwine with fields like Synchronization and Implementation,
- Algorithm that connect with fields like Silent data corruption.
Between 2010 and 2020, his most popular works were:
- The International Exascale Software Project roadmap (580 citations)
- Efficient and Correct Execution of Parallel Programs That Share Memory (323 citations)
- Addressing failures in exascale computing (277 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Algorithm
His primary scientific interests are in Parallel computing, Distributed computing, Supercomputer, Shared memory and Programming paradigm.
His study in Parallel computing is interdisciplinary in nature, drawing from both Uniform memory access and Scale.
His research integrates issues of Systems design, Reliability engineering and Software development process in his study of Distributed computing.
His Supercomputer study contributes to a more complete understanding of Operating system.
His work in the fields of Operating system, such as Software, overlaps with other areas such as Government.
The various areas that Marc Snir examines in his Shared memory study include Time complexity, Parallel algorithm, Computer architecture and Upper and lower bounds.
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