What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Computer network
His primary areas of investigation include Distributed computing, Computer hardware, Scalability, Operating system and Parallel computing.
His Distributed computing research incorporates elements of Control, Mechanism, Multi threaded and Reservation.
In general Computer hardware, his work in Instruction stream, Memory address and Semiconductor memory is often linked to Throughput linking many areas of study.
He interconnects Bottleneck, Multi-core processor, Reliability and Network on a chip in the investigation of issues within Scalability.
His Parallel computing research is multidisciplinary, incorporating elements of Block and Network packet.
His research in the fields of Packet processing overlaps with other disciplines such as Structure and Stateful firewall.
His most cited work include:
- Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing (206 citations)
- Prioritized instruction scheduling for multi-streaming processors (204 citations)
- Interstream control and communications for multi-streaming digital processors (156 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer hardware, Parallel computing, Distributed computing, Network packet and Computer network.
When carried out as part of a general Computer hardware research project, his work on Memory buffer register, Interleaved memory, Memory map and Registered memory is frequently linked to work in Pointer, therefore connecting diverse disciplines of study.
In the field of Parallel computing, his study on Instruction prefetch overlaps with subjects such as Fetch.
The study incorporates disciplines such as Scalability, Software deployment, Service, Control and Hardware architecture in addition to Distributed computing.
His work on Packet processing, Processing delay and Network processor as part of general Network packet research is frequently linked to Stateful firewall, bridging the gap between disciplines.
His work is dedicated to discovering how Computer network, The Internet are connected with Bottleneck and other disciplines.
He most often published in these fields:
- Computer hardware (25.66%)
- Parallel computing (21.24%)
- Distributed computing (16.81%)
What were the highlights of his more recent work (between 2012-2020)?
- Scalability (10.62%)
- Distributed computing (16.81%)
- Embedded system (14.16%)
In recent papers he was focusing on the following fields of study:
Mario Nemirovsky focuses on Scalability, Distributed computing, Embedded system, Multi-core processor and Translation lookaside buffer.
His work carried out in the field of Scalability brings together such families of science as Wireless, Virtualization and Network on a chip.
His Distributed computing research is multidisciplinary, relying on both Distributed memory, Software deployment, Key, Cloud computing and Hardware architecture.
His Design space exploration study, which is part of a larger body of work in Embedded system, is frequently linked to Cost reduction, bridging the gap between disciplines.
To a larger extent, Mario Nemirovsky studies Parallel computing with the aim of understanding Multi-core processor.
Mario Nemirovsky is investigating Operating system and Computer hardware as part of his examination of Translation lookaside buffer.
Between 2012 and 2020, his most popular works were:
- Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing (206 citations)
- Redundant memory mappings for fast access to large memories (102 citations)
- Graphene-enabled wireless communication for massive multicore architectures (100 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Computer network
The scientist’s investigation covers issues in Scalability, Distributed computing, Translation lookaside buffer, Memory management and Multi-core processor.
His research on Scalability frequently connects to adjacent areas such as Embedded system.
His research in Distributed computing intersects with topics in Key, Hardware architecture and Cloud computing.
The concepts of his Translation lookaside buffer study are interwoven with issues in Address space, Parallel computing, Page fault and Memory management unit.
Mario Nemirovsky combines subjects such as Computer hardware, Conventional memory, Registered memory, Data diffusion machine and Base and bounds with his study of Parallel computing.
The various areas that he examines in his Multi-core processor study include Wireless, Bottleneck and Network on a chip.
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