What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
Robert W. Wisniewski mainly focuses on Operating system, Distributed computing, Software, Supercomputer and Exascale computing.
His Operating system study incorporates themes from Factory and Pointer.
His Distributed computing research incorporates elements of Dynamic software updating, Scalability, Code, Real-time computing and Data structure.
Robert W. Wisniewski mostly deals with Petascale computing in his studies of Supercomputer.
Robert W. Wisniewski interconnects Transactional memory, Speculative execution, Computer architecture and Software engineering in the investigation of issues within Petascale computing.
His studies deal with areas such as Extreme scale computing, Reliability and Data science as well as Exascale computing.
His most cited work include:
- The International Exascale Software Project roadmap (580 citations)
- Multi-petascale highly efficient parallel supercomputer (385 citations)
- Addressing failures in exascale computing (277 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Operating system, Distributed computing, Scalability, Real-time computing and Software.
While the research belongs to areas of Operating system, Robert W. Wisniewski spends his time largely on the problem of Kernel, intersecting his research to questions surrounding Node.
His study in Distributed computing is interdisciplinary in nature, drawing from both Computer network and Data structure.
His work carried out in the field of Scalability brings together such families of science as Multiprocessing, Debugging and Linux kernel.
His Software research is multidisciplinary, incorporating elements of Computer hardware, Set and Embedded system.
His study in Exascale computing and Petascale computing falls within the category of Supercomputer.
He most often published in these fields:
- Operating system (36.99%)
- Distributed computing (16.44%)
- Scalability (14.38%)
What were the highlights of his more recent work (between 2012-2019)?
- Operating system (36.99%)
- Supercomputer (10.96%)
- Kernel (7.53%)
In recent papers he was focusing on the following fields of study:
Robert W. Wisniewski focuses on Operating system, Supercomputer, Kernel, Scalability and Node.
His study in System software and Workstation is carried out as part of his studies in Operating system.
In his work, Service, Workload and Software engineering is strongly intertwined with Exascale computing, which is a subfield of System software.
His studies in Supercomputer integrate themes in fields like Software, Massively parallel, Theoretical computer science and Graphics.
His Software study combines topics in areas such as Transactional memory, Computer architecture, Extreme scale computing and Data science.
His research in Kernel intersects with topics in Function, Distributed computing, Unix and Line.
Between 2012 and 2019, his most popular works were:
- Addressing failures in exascale computing (277 citations)
- Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry (53 citations)
- mOS: an architecture for extreme-scale operating systems (48 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
His main research concerns Operating system, Asynchronous communication, Extreme scale computing, Data science and Software.
Many of his studies on Operating system apply to Embedded system as well.
Robert W. Wisniewski has included themes like Partitioned global address space and Distributed computing in his Asynchronous communication study.
His Extreme scale computing research incorporates themes from Exascale computing, Data ecosystem and Big data.
Robert W. Wisniewski combines subjects such as Fault tolerance, Abstraction layer and Resilience with his study of Data science.
His Scalability research is multidisciplinary, incorporating perspectives in Software architecture description and Reliability.
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