What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Programming language
His primary scientific interests are in Parallel computing, Database, Theoretical computer science, Materialized view and Deductive database.
His work deals with themes such as Hash function, Hash table and Computer architecture, which intersect with Parallel computing.
He interconnects Computer data storage, Data reduction and Multiple view in the investigation of issues within Database.
His Theoretical computer science research is multidisciplinary, incorporating perspectives in Computation, Search engine indexing and Ternary search tree.
His Deductive database research incorporates elements of Class, Well-founded semantics, Semantics and Stable model semantics.
His Game semantics and Axiomatic semantics study in the realm of Semantics connects with subjects such as Rule Interchange Format and Meaning.
His most cited work include:
- The well-founded semantics for general logic programs (1584 citations)
- Filtering algorithms and implementation for very fast publish/subscribe systems (464 citations)
- Making B+- trees cache conscious in main memory (387 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Database, Parallel computing, Theoretical computer science, Cache and Data mining.
His Database research is multidisciplinary, relying on both Indirection and Computer architecture.
In his study, Locality is strongly linked to Hash function, which falls under the umbrella field of Parallel computing.
His work carried out in the field of Theoretical computer science brings together such families of science as Relational database and Set.
His study in Cache concentrates on CPU cache, Cache algorithms, Cache pollution and Page cache.
His studies deal with areas such as SQL and Database administrator as well as Materialized view.
He most often published in these fields:
- Database (22.39%)
- Parallel computing (20.90%)
- Theoretical computer science (13.93%)
What were the highlights of his more recent work (between 2013-2021)?
- Parallel computing (20.90%)
- Database (22.39%)
- SIMD (5.47%)
In recent papers he was focusing on the following fields of study:
His main research concerns Parallel computing, Database, SIMD, Locality and Cache.
Kenneth A. Ross has included themes like Hash function and String searching algorithm in his Parallel computing study.
As part of his studies on Database, he frequently links adjacent subjects like Computer architecture.
His SIMD research includes elements of Xeon Phi, Massively parallel, Lossless compression, Degree of parallelism and DEFLATE.
His Locality research includes themes of Theoretical computer science, Tuple, Schedule and Hash join, Join.
His primary area of study in Cache is in the field of CPU cache.
Between 2013 and 2021, his most popular works were:
- Rethinking SIMD Vectorization for In-Memory Databases (122 citations)
- Q100: the architecture and design of a database processing unit (118 citations)
- A comprehensive study of main-memory partitioning and its application to large-scale comparison- and radix-sort (72 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Programming language
Kenneth A. Ross mainly focuses on Parallel computing, SIMD, Database, Tuple and Joins.
His research ties Computer architecture and Parallel computing together.
His work in SIMD tackles topics such as Sorting which are related to areas like Xeon Phi, Memory hierarchy and Hash function.
His research integrates issues of Software and Instruction set in his study of Database.
His Tuple study integrates concerns from other disciplines, such as Control flow, Set, Data structure and Bloom filter.
His studies in Joins integrate themes in fields like Hash table, Algorithm design, Vectorization and Join.
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