His primary areas of investigation include Distributed computing, Parallel computing, World Wide Web, Cloud computing and Grid. His study on Distributed computing also encompasses disciplines like
His Cloud computing study also includes
His scientific interests lie mostly in Distributed computing, World Wide Web, Parallel computing, Web service and Grid. His biological study deals with issues like Software, which deal with fields such as Supercomputer. His study brings together the fields of Multimedia and World Wide Web.
His Parallel computing research is multidisciplinary, incorporating perspectives in Computation and Fortran. Geoffrey C. Fox works in the field of Grid, focusing on Grid computing in particular. Geoffrey C. Fox regularly ties together related areas like Semantic grid in his Grid computing studies.
His primary areas of study are Artificial intelligence, Big data, Cloud computing, Supercomputer and Deep learning. Geoffrey C. Fox has researched Artificial intelligence in several fields, including Machine learning, Computer vision and Pattern recognition. The concepts of his Big data study are interwoven with issues in Database, Dataflow, Data analysis, Software and Data science.
His Cloud computing research incorporates elements of Robot, Virtual machine and Distributed computing. His Supercomputer research is under the purview of Parallel computing. His biological study spans a wide range of topics, including Recurrent neural network and Enhanced Data Rates for GSM Evolution.
Geoffrey C. Fox focuses on Cloud computing, Big data, Artificial intelligence, Machine learning and Distributed computing. His Cloud computing research is multidisciplinary, incorporating elements of Virtual machine, Supercomputer, InfiniBand, Robot and Stream processing. The subject of his Supercomputer research is within the realm of Parallel computing.
The Parallel computing study which covers Thread that intersects with Java and Multi-core processor. His Big data study combines topics in areas such as Data modeling, Software, Dataflow and Data science. His research in Distributed computing intersects with topics in Shared memory, Grid, Asynchronous communication, Edge computing and Workflow.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Solving Problems on Concurrent Processors
G. C. Fox.
Overview of the Book: Grid Computing – Making the Global Infrastructure a Reality
Fran Berman;Geoffrey Fox;Tony Hey;Tony Hey.
Grid Computing: Making the Global Infrastructure a Reality
Fran Berman;Geoffrey Fox;Anthony J. G. Hey;Tony Hey.
Observables for the Analysis of Event Shapes in e+ e- Annihilation and Other Processes
Geoffrey C. Fox;Stephen Wolfram.
Physical Review Letters (1978)
Twister: a runtime for iterative MapReduce
Jaliya Ekanayake;Hui Li;Bingjing Zhang;Thilina Gunarathne.
high performance distributed computing (2010)
Examining the Challenges of Scientific Workflows
Y. Gil;E. Deelman;M. Ellisman;T. Fahringer.
IEEE Computer (2007)
The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers
M. Berry;D. Chen;P. Koss;D. Kuck.
ieee international conference on high performance computing data and analytics (1989)
Sourcebook of parallel computing
Jack Dongarra;Ian Foster;Geoffrey Fox;William Gropp.
Statistical mechanics and phase transitions in clustering.
Kenneth Rose;Eitan Gurewitz;Geoffrey C. Fox.
Physical Review Letters (1990)
Event shapes in e+e− annihilation
Geoffrey C. Fox;Stephen Wolfram.
Nuclear Physics (1979)
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