What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- CPU cache
Christopher B. Wilkerson mostly deals with Cache, Dram, Embedded system, CPU cache and Computer hardware.
His is doing research in Cache pollution, Cache coloring and Cache algorithms, both of which are found in Cache.
Parallel computing covers Christopher B. Wilkerson research in Cache pollution.
Christopher B. Wilkerson has researched Dram in several fields, including Memory rank, Data loss and Error mitigation.
His work carried out in the field of CPU cache brings together such families of science as Low voltage, Random access memory, Energy per instruction and Locality of reference.
His research investigates the connection with Field-programmable gate array and areas like Universal memory which intersect with concerns in CAS latency.
His most cited work include:
- Value locality and load value prediction (584 citations)
- Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors (533 citations)
- Runahead execution: an alternative to very large instruction windows for out-of-order processors (410 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cache, Parallel computing, Computer hardware, Embedded system and CPU cache.
In general Parallel computing study, his work on Branch table often relates to the realm of Instruction window, thereby connecting several areas of interest.
His Computer hardware research includes elements of Error detection and correction and Table.
His Embedded system study also includes
- Dram which connect with Data loss, Idle and Memory rank,
- Efficient energy use and related Exploit, Clock rate and Electronic engineering.
His CPU cache study frequently draws connections to adjacent fields such as Low voltage.
Within one scientific family, Christopher B. Wilkerson focuses on topics pertaining to Cache coloring under Cache pollution, and may sometimes address concerns connected to Random access memory.
He most often published in these fields:
- Cache (41.86%)
- Parallel computing (28.68%)
- Computer hardware (27.91%)
What were the highlights of his more recent work (between 2013-2019)?
- Cache (41.86%)
- Computer hardware (27.91%)
- CPU cache (18.60%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Cache, Computer hardware, CPU cache, Parallel computing and Embedded system.
His Cache study is focused on Operating system in general.
His biological study spans a wide range of topics, including Cache coloring and Voltage.
His work deals with themes such as State and Data transmission, which intersect with CPU cache.
His work on Cache controller, Cache associativity and Write buffer as part of his general Parallel computing study is frequently connected to Block, thereby bridging the divide between different branches of science.
His studies in Embedded system integrate themes in fields like Dram, Latency, Idle, Data loss and Efficient energy use.
Between 2013 and 2019, his most popular works were:
- Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors (533 citations)
- Improving DRAM performance by parallelizing refreshes with accesses (171 citations)
- The efficacy of error mitigation techniques for DRAM retention failures: a comparative experimental study (157 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Electrical engineering
His primary areas of investigation include Dram, Embedded system, Parallel computing, Cache and Operating system.
The various areas that he examines in his Dram study include Random access memory, Memory rank, Physical address, Non-uniform memory access and Cache-only memory architecture.
Memory rank is a subfield of Computer hardware that Christopher B. Wilkerson studies.
The Embedded system study combines topics in areas such as Universal memory, Latency, Error mitigation, Redundancy and Efficient energy use.
He combines subjects such as Write combining and Aggregate with his study of Parallel computing.
His research on Cache focuses in particular on Instruction prefetch.
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