...
| Insert excerpt |
|---|
| Umma Rebbapragada |
|---|
| Umma Rebbapragada |
|---|
|
| Insert excerpt |
|---|
| David Bamman and Greg Crane |
|---|
|
We use the cluster now for two main purposes: parallel text alignment (aligning all of the words in a Latin or Greek text like the /Aeneid/ or the /Odyssey/ with all of the words in its English translation) and training probabilistic syntactic parsers on our treebank data. Both of these are computationally expensive processes - even aligning 1M words of Greek and English takes about 8 hours on a single-core desktop, and for my end result, I need to do this 4 separate times. Using a multi-threaded version of the algorithm (to take advantage of each cluster computer's 8 cores) has let me scale up the data to quantities (5M words) that I simply could not have done on our existing desktop computers. Most importantly, though, the cluster environment lets me run multiple instances of these algorithms in parallel, which has greatly helped in testing optimization parameters for both tasks, and for the alignment task in particular lets me run those 4 alignments simultaneously - essentially letting me work not just faster but more accurately as well. | David Bamman and Greg Crane |
|---|
|
Luis Dorfmann
Evaluating patient-specific Abdominal Aortic Aneurysm wall stress based on flow-induced loading
...