D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 59 Citations 12,022 295 World Ranking 1645 National Ranking 917

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Central processing unit

His scientific interests lie mostly in Distributed computing, Scheduling, Real-time computing, Energy consumption and Multiprocessing. The Distributed computing study combines topics in areas such as Control system, Cloud computing, Resource allocation and Dynamic priority scheduling. His Scheduling study combines topics from a wide range of disciplines, such as Fault tolerance and Computational complexity theory.

He interconnects Software versioning and Electronic engineering in the investigation of issues within Real-time computing. His studies deal with areas such as Power management, Task and Energy management as well as Energy consumption. His Multiprocessing study is associated with Parallel computing.

His most cited work include:

  • Dynamic and aggressive scheduling techniques for power-aware real-time systems (449 citations)
  • Power-aware scheduling for periodic real-time tasks (428 citations)
  • Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems (328 citations)

What are the main themes of his work throughout his whole career to date?

Distributed computing, Parallel computing, Computer network, Fault tolerance and Energy consumption are his primary areas of study. Rami Melhem combines subjects such as Multiprocessor scheduling, Multiprocessing, Redundancy, Scheduling and Interconnection with his study of Distributed computing. The study incorporates disciplines such as Computational complexity theory and Real-time computing in addition to Scheduling.

His Parallel computing research incorporates themes from Interleaved memory, Compiler and Overhead. His research integrates issues of Multiplexing and Throughput in his study of Computer network. His research in Energy consumption tackles topics such as Embedded system which are related to areas like Computer hardware and Dram.

He most often published in these fields:

  • Distributed computing (25.85%)
  • Parallel computing (24.54%)
  • Computer network (21.93%)

What were the highlights of his more recent work (between 2013-2021)?

  • Parallel computing (24.54%)
  • Dram (8.09%)
  • Fault tolerance (15.14%)

In recent papers he was focusing on the following fields of study:

Rami Melhem spends much of his time researching Parallel computing, Dram, Fault tolerance, Phase-change memory and Distributed computing. The various areas that he examines in his Parallel computing study include Thread and Interleaved memory. His work carried out in the field of Dram brings together such families of science as Crosstalk, Random access memory, Embedded system and Row.

His Embedded system study incorporates themes from Encryption and Memory buffer register. His study on Fault tolerance also encompasses disciplines like

  • Error detection and correction that intertwine with fields like Energy consumption, Computer engineering, Reliability engineering and Scaling,
  • Scalability together with Resilience and Quality of service. The concepts of his Distributed computing study are interwoven with issues in Redundancy, Scheduling and Cloud computing.

Between 2013 and 2021, his most popular works were:

  • Simultaneous Multikernel GPU: Multi-tasking throughput processors via fine-grained sharing (82 citations)
  • Supporting superpages in non-contiguous physical memory (46 citations)
  • Refresh Now and Then (46 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Central processing unit

Rami Melhem focuses on Dram, Parallel computing, Distributed computing, Fault tolerance and Energy consumption. His Parallel computing study combines topics in areas such as Multithreading, Interleaved memory and General-purpose computing on graphics processing units. His Distributed computing study integrates concerns from other disciplines, such as Scheduling, Cloud computing, Efficient energy use and Response time.

His study in Scheduling is interdisciplinary in nature, drawing from both Power consumption, Process replication and Energy reduction. His biological study spans a wide range of topics, including Redundancy, Computation, Parameterized complexity and Conventional memory. His work focuses on many connections between Energy consumption and other disciplines, such as Error detection and correction, that overlap with his field of interest in Process variation, Fault management and Reliability engineering.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Dynamic and aggressive scheduling techniques for power-aware real-time systems

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
real-time systems symposium (2001)

642 Citations

Power-aware scheduling for periodic real-time tasks

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
IEEE Transactions on Computers (2004)

607 Citations

Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems

D. Zhu;R. Melhem;B.R. Childers.
IEEE Transactions on Parallel and Distributed Systems (2003)

544 Citations

The effects of energy management on reliability in real-time embedded systems

Dakai Zhu;R. Melhem;D. Mosse.
international conference on computer aided design (2004)

384 Citations

Optimal reward-based scheduling for periodic real-time tasks

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
IEEE Transactions on Computers (2001)

295 Citations

Determining optimal processor speeds for periodic real-time tasks with different power characteristics

H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
euromicro conference on real-time systems (2001)

283 Citations

Fault-tolerance through scheduling of aperiodic tasks in hard real-time multiprocessor systems

S. Ghosh;R. Melhem;D. Mosse.
IEEE Transactions on Parallel and Distributed Systems (1997)

266 Citations

On the Feasibility of Optical Circuit Switching for High Performance Computing Systems

Kevin J. Barker;Alan Benner;Ray Hoare;Adolfy Hoisie.
conference on high performance computing (supercomputing) (2005)

247 Citations

Increasing PCM main memory lifetime

Alexandre P. Ferreira;Miao Zhou;Santiago Bock;Bruce Childers.
design, automation, and test in europe (2010)

246 Citations

Energy aware scheduling for distributed real-time systems

R. Mishra;N. Rastogi;Dakai Zhu;D. Mosse.
international parallel and distributed processing symposium (2003)

225 Citations

Best Scientists Citing Rami Melhem

Jian-Jia Chen

Jian-Jia Chen

TU Dortmund University

Publications: 73

Hakan Aydin

Hakan Aydin

George Mason University

Publications: 62

Keqin Li

Keqin Li

State University of New York

Publications: 57

Yi Pan

Yi Pan

Shenzhen Institutes of Advanced Technology

Publications: 50

Dakai Zhu

Dakai Zhu

The University of Texas at San Antonio

Publications: 48

Tei-Wei Kuo

Tei-Wei Kuo

National Taiwan University

Publications: 46

Yves Robert

Yves Robert

École Normale Supérieure de Lyon

Publications: 42

Lothar Thiele

Lothar Thiele

ETH Zurich

Publications: 39

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 34

Joël Goossens

Joël Goossens

Université Libre de Bruxelles

Publications: 33

Giorgio Buttazzo

Giorgio Buttazzo

Sant'Anna School of Advanced Studies

Publications: 32

Frank Mueller

Frank Mueller

North Carolina State University

Publications: 28

Xiao Qin

Xiao Qin

Auburn University

Publications: 25

Daniel Mosse

Daniel Mosse

University of Pittsburgh

Publications: 25

Chunming Qiao

Chunming Qiao

University at Buffalo, State University of New York

Publications: 25

Sudeep Pasricha

Sudeep Pasricha

Colorado State University

Publications: 25

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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