Abstract | ||
---|---|---|
There are numerous examples of problems in symbolic algebra in which the required storage grows far beyond the limitations even of the distributed RAM of a cluster. Often this limitation determines how large a problem one can solve in practice. Roomy provides a minimally invasive system to modify the code for such a computation, in order to use the local disks of a cluster or a SAN as a transparent extension of RAM. Roomy is implemented as a C/C++ library. It provides some simple data structures (arrays, unordered lists, and hash tables). Some typical programming constructs that one might employ in Roomy are: map, reduce, duplicate elimination, chain reduction, pair reduction, and breadth-first search. All aspects of parallelism and remote I/O are hidden within the Roomy library. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1145/1837210.1837216 | Clinical Orthopaedics and Related Research |
Keywords | DocType | Volume |
parallel,numerous example,disk-based,local disk,space limited computation,duplicate elimination,hash table,pair reduction,breadth-first search,programming model,open source library,minimally invasive system,chain reduction,required storage,roomy library | Conference | abs/1006.1926 |
Citations | PageRank | References |
4 | 0.42 | 3 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daniel Kunkle | 1 | 62 | 7.12 |