Barbara Chapman carries out multidisciplinary research, doing studies in Neuroscience and Biological neural network. By researching both Biological neural network and Neuroscience, she produces research that crosses academic boundaries. Her work often combines Visual cortex and Cortex (anatomy) studies. Barbara Chapman integrates Cortex (anatomy) and Visual cortex in her research. Striate cortex is closely attributed to Orientation column in her research. Her research on Orientation column frequently connects to adjacent areas such as Striate cortex. Barbara Chapman combines Lateral geniculate nucleus and Binocular neurons in her research. She incorporates Binocular neurons and Receptive field in her research. Barbara Chapman applies her multidisciplinary studies on Receptive field and Visual perception in her research.
Her study on Genetics is often connected to Molecular biology as part of broader study in Gene. Genetics and Gene are two areas of study in which she engages in interdisciplinary research. Barbara Chapman combines Neuroscience and Electrophysiology in her research. She combines Electrophysiology and Neuroscience in her research. Barbara Chapman performs integrative study on Retina and Receptive field in her works. Barbara Chapman merges Receptive field with Visual cortex in her research. Her Ocular dominance research extends to the thematically linked field of Visual cortex. She combines Lateral geniculate nucleus and Visual system in her research. Visual system and Lateral geniculate nucleus are two areas of study in which she engages in interdisciplinary research.
Barbara Chapman conducts interdisciplinary study in the fields of Programming language and Implementation through her research. In her works, Barbara Chapman conducts interdisciplinary research on Implementation and Programming language. Her research brings together the fields of Intrinsics and Parallel computing. Her research is interdisciplinary, bridging the disciplines of Parallel computing and Intrinsics. Operating system is closely attributed to CUDA in her work. Her CUDA study frequently draws connections to adjacent fields such as Operating system. Barbara Chapman incorporates Compiler and Porting in her studies. As part of her studies on Porting, Barbara Chapman frequently links adjacent subjects like Software. In her articles, Barbara Chapman combines various disciplines, including Software and Compiler.
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Using OpenMP: Portable Shared Memory Parallel Programming
Barbara Chapman;Gabriele Jost;Ruud van der Pas.
(2007)
Supercompilers for parallel and vector computers
Hans Zima;Barbara Chapman.
(1990)
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)
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
Barbara Chapman;Gabriele Jost;Ruud van der Pas.
(2007)
Professional CUDA C Programming
John Cheng;Max Grossman;Ty McKercher;Barbara Chapman.
(2014)
Programming in Vienna Fortran
Barbara Chapman;Piyush Mehrotra;Hans Zima.
Scientific Programming (1992)
High performance computing using MPI and OpenMP on multi-core parallel systems
Haoqiang Jin;Dennis Jespersen;Piyush Mehrotra;Rupak Biswas.
parallel computing (2011)
Introducing OpenSHMEM: SHMEM for the PGAS community
Barbara Chapman;Tony Curtis;Swaroop Pophale;Stephen Poole.
Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model (2010)
Compiling for distributed-memory systems
H.P. Zima;B.M. Chapman.
Proceedings of the IEEE (1993)
OpenUH: an optimizing, portable OpenMP compiler
Chunhua Liao;Oscar R. Hernandez;Barbara M. Chapman;Wenguang Chen.
Concurrency and Computation: Practice and Experience (2007)
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