What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Algorithm
The scientist’s investigation covers issues in Parallel computing, Algorithm, Set, Matrix and Embedded system.
Robert Schreiber works in the field of Parallel computing, namely Basic block.
His Algorithm research includes themes of Linear map, Sparse matrix, Gaussian elimination and Loop.
His Set research integrates issues from TreadMarks, Nested loop join, Kernel and Parallel processing.
His work carried out in the field of Matrix brings together such families of science as Multiplication, Eigenvalues and eigenvectors and Product.
His work on Design space exploration as part of general Embedded system research is frequently linked to High-level synthesis, Register-transfer level and Throughput, thereby connecting diverse disciplines of science.
His most cited work include:
- The Nas Parallel Benchmarks (2023 citations)
- The High Performance Fortran Handbook (558 citations)
- Corona: System Implications of Emerging Nanophotonic Technology (542 citations)
What are the main themes of his work throughout his whole career to date?
Robert Schreiber spends much of his time researching Parallel computing, Algorithm, Computation, Matrix and Computer hardware.
His Parallel computing research incorporates themes from High Performance Fortran, Compiler, Fortran, Data structure and Cholesky decomposition.
His Computation study combines topics in areas such as Nanophotonics, Numerical analysis, Interconnection and Computational science.
His Matrix research is multidisciplinary, incorporating perspectives in Eigenvalues and eigenvectors, Hermitian matrix and Applied mathematics.
He focuses mostly in the field of Computer hardware, narrowing it down to matters related to Embedded system and, in some cases, Efficient energy use, Dram and Computer architecture.
Robert Schreiber combines subjects such as Parallel processing and Subroutine with his study of Parallel algorithm.
He most often published in these fields:
- Parallel computing (30.90%)
- Algorithm (14.04%)
- Computation (12.36%)
What were the highlights of his more recent work (between 2011-2020)?
- Parallel computing (30.90%)
- Computer hardware (11.24%)
- Shared memory (3.93%)
In recent papers he was focusing on the following fields of study:
His main research concerns Parallel computing, Computer hardware, Shared memory, State and Computation.
His work in the fields of Memory map overlaps with other areas such as Multi-level cell.
Within one scientific family, Robert Schreiber focuses on topics pertaining to Block under Computer hardware, and may sometimes address concerns connected to Node, Task, Real-time computing and Set.
His biological study spans a wide range of topics, including Graph database, Graph, Memory segmentation, Block and Overlay.
His State research focuses on Code and how it connects with Soft error.
The concepts of his Computation study are interwoven with issues in Data transmission, Partition, Combinatorics, Invariant and Distributed Computing Environment.
Between 2011 and 2020, his most popular works were:
- Addressing failures in exascale computing (277 citations)
- DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges (75 citations)
- Silent error detection in numerical time-stepping schemes (47 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Algorithm
Robert Schreiber mostly deals with Computer hardware, Software, Parallel computing, State and Computation.
His study in Computer hardware is interdisciplinary in nature, drawing from both Electronic engineering, Transient and Component.
The study incorporates disciplines such as Fault tolerance, Exascale computing and Resilience in addition to Software.
His Resilience research is multidisciplinary, incorporating elements of System software and Supercomputer, Extreme scale computing.
Robert Schreiber conducted interdisciplinary study in his works that combined Parallel computing and Early results.
Robert Schreiber interconnects Initial value problem, Theoretical computer science, Heat equation and Runge–Kutta methods in the investigation of issues within Computation.
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