2006 - Fellow of the American Association for the Advancement of Science (AAAS)
1999 - ACM Fellow For contributions to the theory of parallel computation and the development of scaleable parallel systems architectures.
1996 - IEEE Fellow For technical leadership in the development of parallel computation and scalable parallel systems architectures.
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.
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.
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
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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MPI: The Complete Reference
Marc Snir;Steve W. Otto;David W. Walker;Jack Dongarra.
The International Exascale Software Project roadmap
Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)
MPI - The Complete Reference: Volume 1, The MPI Core
Marc Snir;Marc Snir;Steve Otto;Steven Huss-Lederman;David Walker.
Toward Exascale Resilience
Franck Cappello;Al Geist;Bill Gropp;Laxmikant Kale.
ieee international conference on high performance computing data and analytics (2009)
Efficient and Correct Execution of Parallel Programs That Share Memory
Dennis Shasha;Marc Snir.
Addressing failures in exascale computing
Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve.
ieee international conference on high performance computing data and analytics (2014)
The power of parallel prefix
Clyde P. Kruskal;Larry Rudolph;Marc Snir.
IEEE Transactions on Computers (1985)
Blue Gene: a vision for protein science using a petaflop supercomputer
F. Allen;G. Almasi;W. Andreoni;D. Beece.
Ibm Systems Journal (2001)
A model for hierarchical memory
A. Aggarwal;B. Alpern;A. Chandra;M. Snir.
symposium on the theory of computing (1987)
MPI - The Complete Reference: Volume 2, The MPI Extensions
William Gropp;Steven Huss-Lederman;Andrew Lumsdaine;Ewing Lusk.
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