What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Central processing unit
Ravi Kumar Arimilli mainly investigates Cache, Computer hardware, Data processing system, Cache pollution and Cache algorithms.
His Cache research also covers Parallel computing, Computer network and Operating system studies.
His Computer hardware study frequently draws connections between related disciplines such as Control unit.
His Data processing system study incorporates themes from Graph, Thread, Computer program, Multiprocessing and Interconnection.
His Cache pollution research is multidisciplinary, relying on both Cache invalidation and Cache coloring.
His Cache coloring research focuses on Page cache and how it relates to Cache-oblivious algorithm and Cache-only memory architecture.
His most cited work include:
- The PERCS High-Performance Interconnect (173 citations)
- High performance symmetric multiprocessing systems via super-coherent data mechanisms (88 citations)
- Multi-level multiprocessor speculation mechanism (85 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cache, Computer hardware, Data processing system, Cache algorithms and Parallel computing.
Cache is a component of his Cache coloring, Cache pollution, Cache invalidation, Bus sniffing and Smart Cache studies.
His Cache coloring research focuses on subjects like Page cache, which are linked to Cache-oblivious algorithm.
His research integrates issues of MESI protocol and Cache-only memory architecture in his study of Cache pollution.
The Data processing system study combines topics in areas such as Thread, Multiprocessing, Real-time computing and Computer network, Interconnection.
His research on Cache algorithms is centered around Operating system and CPU cache.
He most often published in these fields:
- Cache (43.78%)
- Computer hardware (38.03%)
- Data processing system (26.90%)
What were the highlights of his more recent work (between 2007-2012)?
- Computer hardware (38.03%)
- Data processing system (26.90%)
- Parallel computing (25.23%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computer hardware, Data processing system, Parallel computing, Cache and Thread.
His Computer hardware study incorporates themes from Multiprocessing and Embedded system.
The various areas that Ravi Kumar Arimilli examines in his Data processing system study include Computer network, Asynchronous communication, Real-time computing and Data processing.
His Parallel computing research incorporates themes from Memory address, Operand, Interleaved memory and Physical address.
Cache coloring, Cache pollution, CPU cache, Bus sniffing and Cache invalidation are among the areas of Cache where Ravi Kumar Arimilli concentrates his study.
His Cache pollution study contributes to a more complete understanding of Cache algorithms.
Between 2007 and 2012, his most popular works were:
- The PERCS High-Performance Interconnect (173 citations)
- System and Method for Performing Dynamic Request Routing Based on Broadcast Source Request Information (46 citations)
- Convergence of air water cooling of an electronics rack and a computer room in a single unit (42 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Computer network
His primary scientific interests are in Data processing system, Programming idiom, Thread, Computer hardware and Operating system.
His research investigates the connection with Data processing system and areas like Real-time computing which intersect with concerns in Computer network, Disk array, System bus and Chip.
Ravi Kumar Arimilli has included themes like Multiplexer and Embedded system in his Computer hardware study.
His Embedded system research is multidisciplinary, incorporating perspectives in Page cache, CPU cache, Cache coloring, Cache pollution and Asynchronous communication.
His research related to Remote procedure call, Cache algorithms and Cache might be considered part of Operating system.
His research is interdisciplinary, bridging the disciplines of Cache-only memory architecture and Cache algorithms.
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