What is he best known for?
The fields of study he is best known for:
- Operating system
- Algorithm
- Central processing unit
His primary scientific interests are in Parallel computing, General-purpose computing on graphics processing units, CUDA, Computer architecture and Stream processing.
The various areas that John D. Owens examines in his Parallel computing study include Graph theory, Programming paradigm and Memory management.
His General-purpose computing on graphics processing units research is multidisciplinary, incorporating perspectives in Software, Computation, Speedup and Computational science.
The concepts of his CUDA study are interwoven with issues in Overhead, Image registration, Vertex, Graph and Solver.
His Computer architecture study combines topics from a wide range of disciplines, such as Telecommunications, System on a chip and Concurrency.
His research integrates issues of Concurrency control, Computer hardware, Configuration management and Microarchitecture in his study of Stream processing.
His most cited work include:
- A Survey of General-Purpose Computation on Graphics Hardware (1880 citations)
- GPU Computing (1125 citations)
- Memory access scheduling (853 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Parallel computing, CUDA, Speedup, General-purpose computing on graphics processing units and Graphics.
John D. Owens studies Graphics processing unit, a branch of Parallel computing.
Many of his studies involve connections with topics such as Computation and CUDA.
His work in Graphics covers topics such as Computer architecture which are related to areas like Stream processing.
As a part of the same scientific study, John D. Owens usually deals with the Programming paradigm, concentrating on Radix sort and frequently concerns with Block and Parallel algorithm.
His Solver research incorporates elements of Fortran, Xeon, Computational science and Shared memory.
He most often published in these fields:
- Parallel computing (53.57%)
- CUDA (19.39%)
- Speedup (18.88%)
What were the highlights of his more recent work (between 2015-2021)?
- Parallel computing (53.57%)
- Speedup (18.88%)
- Programming paradigm (11.22%)
In recent papers he was focusing on the following fields of study:
Parallel computing, Speedup, Programming paradigm, Graph and Graph are his primary areas of study.
John D. Owens is interested in CUDA, which is a field of Parallel computing.
His work deals with themes such as Input/output, Multiplication, Memory access pattern and Massively parallel, which intersect with Speedup.
His Programming paradigm research includes themes of Radix sort and Shared memory.
His Graph research integrates issues from Tree traversal and Computation.
His research in General-purpose computing on graphics processing units intersects with topics in Scheduling and Kernel.
Between 2015 and 2021, his most popular works were:
- Mathematical foundations of the GraphBLAS (96 citations)
- Mathematical Foundations of the GraphBLAS (57 citations)
- Gunrock: GPU Graph Analytics (56 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Algorithm
- Central processing unit
John D. Owens spends much of his time researching Parallel computing, CUDA, Speedup, Programming paradigm and Data structure.
His studies in Parallel computing integrate themes in fields like Graph, Linked list, Sorting, Central processing unit and General-purpose computing on graphics processing units.
His General-purpose computing on graphics processing units research includes elements of Matching, Core and Kernel.
John D. Owens combines subjects such as Graph theory and Graph with his study of CUDA.
His Speedup study integrates concerns from other disciplines, such as Suffix array, Skew and Massively parallel.
His biological study spans a wide range of topics, including Sorted array, Hash function, Hash table and Memory management.
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