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 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.
Dimitrios S. Nikolopoulos focuses on Distributed computing, Server, Dram, Reliability and Cloud computing. His Distributed computing study also includes
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.
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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Challenges and Opportunities in Edge Computing
Blesson Varghese;Nan Wang;Sakil Barbhuiya;Peter Kilpatrick.
2016 IEEE International Conference on Smart Cloud (SmartCloud) (2016)
Prediction models for multi-dimensional power-performance optimization on many cores
Matthew Curtis-Maury;Ankur Shah;Filip Blagojevic;Dimitrios S. Nikolopoulos.
international conference on parallel architectures and compilation techniques (2008)
ENORM: A Framework For E dge NO de R esource M anagement
Nan Wang;Blesson Varghese;Michail Matthaiou;Dimitrios S. Nikolopoulos.
IEEE Transactions on Services Computing (2020)
Online power-performance adaptation of multithreaded programs using hardware event-based prediction
Matthew Curtis-Maury;James Dzierwa;Christos D. Antonopoulos;Dimitrios S. Nikolopoulos.
international conference on supercomputing (2006)
Hybrid MPI/OpenMP power-aware computing
Dong Li;Bronis R de Supinski;Martin Schulz;Kirk Cameron.
international parallel and distributed processing symposium (2010)
Exploring New Search Algorithms and Hardware for Phylogenetics: RAxML Meets the IBM Cell
A. Stamatakis;F. Blagojevic;D. S. Nikolopoulos;C. D. Antonopoulos.
signal processing systems (2007)
Scalable locality-conscious multithreaded memory allocation
Scott Schneider;Christos D. Antonopoulos;Dimitrios S. Nikolopoulos.
international symposium on memory management (2006)
Prediction-Based Power-Performance Adaptation of Multithreaded Scientific Codes
M. Curtis-Maury;F. Blagojevic;C.D. Antonopoulos;D.S. Nikolopoulos.
IEEE Transactions on Parallel and Distributed Systems (2008)
A taxonomy of task-based parallel programming technologies for high-performance computing
Peter Thoman;Kiril Dichev;Thomas Heller;Roman Iakymchuk.
The Journal of Supercomputing (2018)
Strategies for Energy-Efficient Resource Management of Hybrid Programming Models
Dong Li;B. R. de Supinski;M. Schulz;D. S. Nikolopoulos.
IEEE Transactions on Parallel and Distributed Systems (2013)
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