What is he best known for?
The fields of study he is best known for:
- Algorithm
- Programming language
- Parallel computing
Yves Robert mostly deals with Scheduling, Distributed computing, Parallel computing, Processor scheduling and Computation.
The concepts of his Scheduling study are interwoven with issues in Linear programming, Mathematical optimization, Heuristics and Resource allocation.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Periodic graph and Convex domain.
The Distributed computing study which covers Two-level scheduling that intersects with Cyclic scheduling and Job shop scheduling.
His studies in Parallel computing integrate themes in fields like Computational complexity theory, Graph, Overhead and Graph.
His biological study spans a wide range of topics, including Network topology and Tree network.
His most cited work include:
- Scheduling strategies for master-slave tasking on heterogeneous processor platforms (179 citations)
- Matrix multiplication on heterogeneous platforms (141 citations)
- Scheduling and automatic parallelization (140 citations)
What are the main themes of his work throughout his whole career to date?
Yves Robert mainly focuses on Parallel computing, Distributed computing, Scheduling, Algorithm and Heuristics.
In his research on the topic of Parallel computing, Theoretical computer science is strongly related with Computation.
His Distributed computing study deals with Two-level scheduling intersecting with Rate-monotonic scheduling.
His Scheduling study combines topics in areas such as Linear programming and Mathematical optimization.
His Algorithm research incorporates themes from Set, QR decomposition and Gaussian elimination.
His research in Heuristics focuses on subjects like Server, which are connected to Tree.
He most often published in these fields:
- Parallel computing (40.94%)
- Distributed computing (41.58%)
- Scheduling (36.25%)
What were the highlights of his more recent work (between 2013-2021)?
- Distributed computing (41.58%)
- Scheduling (36.25%)
- Parallel computing (40.94%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Distributed computing, Scheduling, Parallel computing, Algorithm and Fault tolerance.
The study incorporates disciplines such as Overhead, Resilience, Dynamic programming, Frequency scaling and Optimization problem in addition to Distributed computing.
As a part of the same scientific family, Yves Robert mostly works in the field of Scheduling, focusing on Heuristics and, on occasion, Linear programming, Approximation algorithm and Processor scheduling.
His Parallel computing study frequently links to adjacent areas such as Linear algebra.
His work carried out in the field of Algorithm brings together such families of science as Redundancy and QR decomposition.
Yves Robert has researched Fault tolerance in several fields, including Replication, Supercomputer and Error detection and correction.
Between 2013 and 2021, his most popular works were:
- Fault-Tolerance Techniques for High-Performance Computing (73 citations)
- Scheduling the I/O of HPC Applications Under Congestion (53 citations)
- Unified model for assessing checkpointing protocols at extreme-scale (46 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Programming language
- Computer network
His primary areas of investigation include Distributed computing, Fault tolerance, Supercomputer, Parallel computing and Algorithm.
His Distributed computing study combines topics from a wide range of disciplines, such as Task analysis, Frequency scaling, Heuristics and Job shop scheduling.
His Heuristics research incorporates elements of Discretization, Optimization problem, Weibull distribution and Scheduling.
Yves Robert studies I/O scheduling which is a part of Scheduling.
Yves Robert combines Parallel computing and Rollback in his research.
His work deals with themes such as Redundancy and Process replication, which intersect with Algorithm.
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