Abstract
Understanding how a program behaves is important for effective program development, debugging, and optimization, but obtaining the necessary level of understanding is usually a challenging problem. One facet of this problem is to understand how a value (the content of a variable at a particular moment in time) influences other values as the program runs. To help developers understand value influence for their programs, we are developing a tool that allows a user to tag a value as being of interest, and then track the influence of that value as it, or values that were derived from it, are used in later computation, communication, and I/O. We believe that understanding how a value's influence propagates will enable algorithm designers to more easily identify optimizations such as the removal of unnecessary computation and communication. In this paper, we describe our value influence tracking approach and our tool's design and implementation status.
| Original language | English |
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| Title of host publication | Euro-Par 2013 |
| Subtitle of host publication | Parallel Processing Workshops - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 617-626 |
| Number of pages | 10 |
| ISBN (Print) | 9783642544194 |
| DOIs | |
| State | Published - 2014 |
| Event | 19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013 - Aachen, Germany Duration: Aug 26 2013 → Aug 27 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8374 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013 |
|---|---|
| Country/Territory | Germany |
| City | Aachen |
| Period | 08/26/13 → 08/27/13 |
Funding
Support for this work was provided through the Scientific Discovery through Advanced Computing (SciDAC) program funded by U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research. The work was performed at the Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 to the U.S. Government. Accordingly, the U.S. Government retains a non-exclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.