Name
Abstract | ||
|---|---|---|
. This paper deals with currently used algorithms for the reconstructionof functional images which run up to 60 hours or more on asingle workstation and deal with hundreds of megabyte of data. A parallelimplementation with high efficiency and almost linear speedup of asophisticated iterative algorithm is given and its applicability to otherreconstruction methods is shown. Whereas running this application ona high performance parallel computer is straightforward, there are moreissues... |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BFb0052209 | CANPC |
Keywords | Field | DocType |
batch queing,parallel image reconstruction,improved functional imaging,parallel processing,load bal- ancing,network of workstations.,functional imaging,iterative algorithm,parallel computer,load balancing | Iterative reconstruction,MATLAB,Computer science,Load balancing (computing),Megabyte,Parallel computing,Workstation,Fault tolerance,High-level programming language,Speedup | Conference |
Volume | ISSN | ISBN |
1362 | 0302-9743 | 3-540-64140-8 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Munz | 1 | 0 | 1.69 |
| T. Stephan | 2 | 0 | 0.34 |
| Ursula Maier | 3 | 17 | 5.82 |
| Thomas Ludwig, II | 4 | 45 | 12.12 |
| Arndt Bode | 5 | 617 | 117.82 |
| Sibylle Ziegler | 6 | 7 | 5.80 |
| Stephan Nekolla | 7 | 89 | 7.17 |
| Peter Bartenstein | 8 | 24 | 3.16 |
| Markus Schwaiger | 9 | 126 | 11.26 |