Abstract | ||
---|---|---|
High performance computing in medical science has led to important progress in the field of computer tomography. A fast calculation
of various types of images is a precondition for statistical comparison of big sets of input data. With our current research
we adapted parallel programs from PVM to CORBA. CORBA makes the integration into clinical environments much easier. In order
to improve the efficiency and maintainability we added load balancing and graphical on-line tools to our CORBA-based application
program.
|
Year | DOI | Venue |
---|---|---|
2001 | 10.1007/3-540-44743-1_47 | Parallel Computing Technologies |
Keywords | Field | DocType |
input data,clinical environment,computer tomography,big set,graphical on-line tool,tool environment,important progress,high-performance computing,corba-based medical high-performance computing,fast calculation,current research,corba-based application program,load balance,computed tomography | Load management,Supercomputer,Load balancing (computing),Computer science,Common Object Request Broker Architecture,Precondition,Maintainability,Simple Network Management Protocol,Distributed computing,Statistical analysis | Conference |
Volume | Issue | ISSN |
18 | 6 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-42522-5 | 1 | 0.41 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Ludwig | 1 | 279 | 42.36 |
Markus Lindermeier | 2 | 23 | 3.77 |
Alexandros Stamatakis | 3 | 995 | 96.27 |
Günther Rackl | 4 | 18 | 4.63 |