Name
Abstract | ||
|---|---|---|
Profiling feedback is an important technique used by developers for performance debugging, where it is usually used to pinpoint performance bottlenecks and also to find optimization opportunities. Assessing the validity and potential benefit of a program transformation requires accurate knowledge of the data flow and dependencies, which can be uncovered by profiling a particular execution of the program.
In this work we develop poly-prof, an end-to-end infrastructure for dynamic binary analysis, which produces feedback about the potential to apply complex program rescheduling. Our tool can handle both inter- and intraprocedural aspects of the program in a unified way, thus providing interprocedural transformation feedback.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3293883.3295737 | PPoPP |
Keywords | Field | DocType |
binary, compiler optimization, dynamic dependence graph, instrumentation, loop transformations, performance feedback, polyhedral model | Program transformation,Profiling (computer programming),Computer science,Binary analysis,Optimizing compiler,Polytope model,Binary number,Debugging,Data flow diagram,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-6225-2 | 1 | 0.38 |
References | Authors | |
38 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Gruber | 1 | 1 | 0.38 |
| Manuel Selva | 2 | 8 | 2.62 |
| Diogo Sampaio | 3 | 48 | 3.84 |
| Christophe Guillon | 4 | 84 | 6.07 |
| Antoine Moynault | 5 | 1 | 0.38 |
| Louis-noël Pouchet | 6 | 880 | 47.61 |
| Fabrice Rastello | 7 | 482 | 38.30 |