They were especially working on problems in advanced computer systems such as parallel computing and image analysis and processing.Tanenbaum remained dean for 12 years, until 2005, when he was awarded an Academy Professorship by the Royal Netherlands Academy of Arts and Sciences, at which time he became a full-time research professor.…

Finite element simulations of moderate size models require solving linear systems with millions of unknowns.Several hours per time step is an average sequential run time, therefore, parallel computing is a necessity.Domain decomposition methods embody large potential for a parallelization of the finite element methods, and serve a basis for distributed, parallel computations.…

Although the Petersen graph has been known since 1898, its definition as an odd graph dates to the work of, who also studied the odd graph O 4 . Odd graphs have been studied for their applications in chemical graph theory, in modeling the shifts of carbonium ions.They have also been proposed as a network topology in parallel computing.The notation O n for these graphs was introduced by Norman Biggs in 1972.…

Another strategy of achieving performance is to execute multiple programs or threads in parallel.This area of research is known as parallel computing.…

The Scientific Computing (SCO) group develops methods, new software, and new computer architectures for computing phylogenies (evolutionary trees).Furthermore, it provides expertise in parallel computing and computer architecture to other research groups.It also maintains and operates the scientific computing cluster and the IT infrastructure at HITS.…

Her research interests are in computer architecture and systems, parallel computing, and power and reliability-aware systems.

One application of the BDDC preconditioner then combines the solution of local problems on each subdomains with the solution of a global coarse problem with the coarse degrees of freedom as the unknowns.The local problems on different subdomains are completely independent of each other, so the method is suitable for parallel computing.…

All models ran the user's choice of BSD or System V Unix or Mach.All three operating systems were modified for parallel computing.However, soon after the 500's release, National stopped development of the NS32032 design.…

Bit-level parallelism is a form of parallel computing based on increasing processor word size.

LU reduction is an algorithm related to LU decomposition.This term is usually used in the context of super computing and highly parallel computing.In this context it is used as a benchmarking algorithm, i.e. to provide a comparative measurement of speed for different computers.…

A cellular architecture is a type of computer architecture prominent in parallel computing.Cellular architectures are relatively new, with IBM's Cell microprocessor being the first one to reach the market.…

Only one instruction may execute at a time -- after that instruction is finished, the next is executed.Parallel computing, on the other hand, uses multiple processing elements simultaneously to solve a problem.This is accomplished by breaking the problem into independent parts so that each processing element can execute its part of the algorithm simultaneously with the others.…

Intel Tera-Scale is a research program by Intel that focuses on development in Intel Processors and platforms that utilize the inherent parallelism of emerging visual-computing applications.Such applications require teraFLOPS of parallel computing performance to process terabytes of data quickly.Parallelism is the concept of performing multiple tasks simultaneously.…

His research contributions have been in theoretical computer science, especially concerning concurrency.In particular, he has written books on automata theory and the semantics of parallel computing.A meeting was held in 2006 at the British Computer Society's offices in London to celebrate Shields' contribution to computer science (his "innovative and elegant foundational work on models of concurrency") on his retirement.…

There are several different forms of parallel computing: bit-level, instruction level, data, and task parallelism.Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling.…

In graph theory, the cube-connected cycles is an undirected cubic graph, formed by replacing each vertex of a hypercube graph by a cycle.It was introduced by for use as a network topology in parallel computing.…

Alliant Computer Systems was a computer company that designed and manufactured parallel computing systems.Together with Pyramid Technology and Sequent Computer Systems, Alliant's machines pioneered the symmetric multiprocessing market.…

Pipelining was a major feature of Seymour Cray's groundbreaking design, the CDC 7600, which outperformed almost all other machines by about ten times when it was introduced.Another solution to the problem was parallel computing; building a computer out of a number of general purpose CPUs.The "computer" as a whole would have to be able to keep all of the CPUs busy, asking each one to work on a small part of the problem and then collecting up the results at the end into a single "answer".…

First dubbed MPP, these machines were later called SPP and Exemplar and sold under the SPP-1600 moniker.The expectation was that a software programming model for parallel computing could draw in customers.But the type of customers Convex attracted believed in Fortran and brute force rather than sophisticated technology.…

A Beowulf cluster is a computer cluster of what are normally identical, commodity-grade computers networked into a small local area network with libraries and programs installed which allow processing to be shared among them.The result is a high-performance parallel computing cluster from inexpensive personal computer hardware.The name Beowulf originally referred to a specific computer built in 1994 by Thomas Sterling and Donald Becker at NASA.…