What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
Dimitrios S. Nikolopoulos focuses on Parallel computing, Distributed computing, Multi-core processor, Scheduling and Programming paradigm.
His biological study focuses on Multiprocessing.
He has included themes like Range, Scalability, Cloud computing and Approximate computing in his Distributed computing study.
His Multi-core processor research is multidisciplinary, incorporating elements of Supercomputer, Concurrent computing, Concurrency, Asynchronous communication and Performance prediction.
His Scheduling study which covers Bottleneck that intersects with Design space exploration, Dynamic priority scheduling, Memory hierarchy and Bandwidth allocation.
The concepts of his Programming paradigm study are interwoven with issues in Cilk, Dynamic programming and Programmer.
His most cited work include:
- Prediction models for multi-dimensional power-performance optimization on many cores (149 citations)
- Challenges and Opportunities in Edge Computing (143 citations)
- Exploring New Search Algorithms and Hardware for Phylogenetics: RAxML Meets the IBM Cell (129 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Parallel computing, Distributed computing, Scalability, Operating system and Programming paradigm.
His biological study spans a wide range of topics, including Scheduling and Thread.
His research integrates issues of Workload, Cloud computing and Server in his study of Distributed computing.
His biological study deals with issues like Computer architecture, which deal with fields such as Supercomputer.
His Programming paradigm research includes elements of Cilk and Programmer.
His Multi-core processor study combines topics in areas such as Concurrent computing and Concurrency.
He most often published in these fields:
- Parallel computing (39.69%)
- Distributed computing (24.00%)
- Scalability (17.54%)
What were the highlights of his more recent work (between 2017-2020)?
- Distributed computing (24.00%)
- Server (8.62%)
- Dram (4.62%)
In recent papers he was focusing on the following fields of study:
Dimitrios S. Nikolopoulos focuses on Distributed computing, Server, Dram, Reliability and Cloud computing.
His Distributed computing study also includes
- Stencil code, which have a strong connection to Frequency scaling,
- Edge computing which connect with Key.
His work carried out in the field of Server brings together such families of science as Scheduling, Overhead and Memory management.
His work focuses on many connections between Scheduling and other disciplines, such as Unavailability, that overlap with his field of interest in Parallel computing, Non-volatile memory and Shared memory.
He is involved in the study of Parallel computing that focuses on Supercomputer in particular.
His work in the fields of Cloud computing, such as Virtualization, intersects with other areas such as Scale.
Between 2017 and 2020, his most popular works were:
- ENORM: A Framework For E dge NO de R esource M anagement (114 citations)
- A taxonomy of task-based parallel programming technologies for high-performance computing (49 citations)
- Feasibility of Fog Computing (41 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
Dimitrios S. Nikolopoulos mainly focuses on Distributed computing, Server, Cloud computing, Field-programmable gate array and Reliability.
His Distributed computing research focuses on subjects like Edge computing, which are linked to Computer network and Provisioning.
His studies in Server integrate themes in fields like Schedule, System software, Memory management and Parallel computing.
His study in the field of Virtualization also crosses realms of Resource management.
His Field-programmable gate array research includes themes of Dram and Refresh rate.
His The Internet research is multidisciplinary, incorporating elements of Scalability, Quality of service, Quality of experience, Fog computing and Green computing.
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