What is he best known for?
The fields of study he is best known for:
- Operating system
- Enzyme
- Central processing unit
Alan Jay Smith mainly focuses on Parallel computing, Cache, CPU cache, Cache algorithms and Biochemistry.
He has included themes like Paging and Central processing unit in his Parallel computing study.
His work in Bus sniffing and Cache pollution are all subfields of Cache research.
His work in Cache pollution addresses issues such as Cache-only memory architecture, which are connected to fields such as Snoopy cache, Memory organisation, Memory map and Extended memory.
His work deals with themes such as Pipeline, Instruction set and Performance prediction, which intersect with CPU cache.
His Cache algorithms study incorporates themes from Benchmark and Cache coloring.
His most cited work include:
- Cache Memories (1559 citations)
- Evaluating associativity in CPU caches (538 citations)
- A new redox cofactor in eukaryotic enzymes: 6-hydroxydopa at the active site of bovine serum amine oxidase (537 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Parallel computing, Cache, CPU cache, Cache pollution and Cache algorithms.
His studies deal with areas such as Paging and Interleaved memory as well as Parallel computing.
His biological study spans a wide range of topics, including Memory address, Algorithm, Uniform memory access and Flat memory model.
Alan Jay Smith studies Bus sniffing which is a part of Cache.
His research integrates issues of Page cache, Smart Cache, Cache coloring and Cache invalidation in his study of Cache pollution.
The study of Cache algorithms is intertwined with the study of Benchmark in a number of ways.
He most often published in these fields:
- Parallel computing (25.25%)
- Cache (21.21%)
- CPU cache (12.12%)
What were the highlights of his more recent work (between 2002-2011)?
- Data mining (5.56%)
- Timestamp (2.53%)
- User interface (4.04%)
In recent papers he was focusing on the following fields of study:
Alan Jay Smith spends much of his time researching Data mining, Timestamp, User interface, Set and Computer network.
The various areas that he examines in his Timestamp study include Certificate, Interface, Field and Automatic summarization.
His User interface research includes themes of Algorithm and Theoretical computer science.
His study looks at the relationship between Set and fields such as Identifier, as well as how they intersect with chemical problems.
The concepts of his Computer network study are interwoven with issues in Computer security and Distributed computing.
His study of Distributed algorithm is a part of Distributed computing.
Between 2002 and 2011, his most popular works were:
- PACE: a new approach to dynamic voltage scaling (131 citations)
- The automatic improvement of locality in storage systems (98 citations)
- Characteristics of I/O traffic in personal computer and server workloads (72 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Enzyme
- Central processing unit
His primary areas of investigation include Real-time computing, Computer network, User interface, Scheduling and Personal computer.
His Real-time computing research incorporates themes from Calculator, Power management, Embedded system and Dynamic voltage scaling.
His work on Upstream and Peer-to-peer as part of general Computer network study is frequently linked to Payment system and Scale, therefore connecting diverse disciplines of science.
His Upstream research incorporates elements of Block, Rule of thumb and Cache.
He combines subjects such as Theoretical computer science, Offset and Data mining with his study of User interface.
His Scheduling study combines topics in areas such as Instructions per second, Central processing unit, Standard algorithms and Resource allocation.
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