Name
Abstract | ||
|---|---|---|
In this paper we present a binary instrumentation methodology to monitor runtime events. We demonstrate our approach on OpenMP constructs for the Intel and GNU compilers. A binary-level static analysis detects the compiler patterns and the runtime function calls corresponding to OpenMP regions. To this effect we integrate the software tool MAQAO with the scalable measurement infrastructure Score-P. We design a new interface and modify both tools to support the new events. The main advantages of using binary instrumentation are the possibility to retrieve implicit runtime events, to instrument without recompilation, to be independent from the language, and not to interact with compiler optimization. Our validation experiments and first results shows that binary instrumentation has not introduced any additional overhead. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-381-0-783 | PARALLEL COMPUTING: ACCELERATING COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) |
Keywords | Field | DocType |
Binary instrumentation,MAQAO,Score-P,OpenMP,performance,measurement,analysis,trace,profile | Computer science,Parallel computing,Static analysis,Compiler,Optimizing compiler,Software portability,Tracing,Scalability,Binary number,Instrumentation | Conference |
Volume | ISSN | Citations |
25 | 0927-5452 | 1 |
PageRank | References | Authors |
0.35 | 12 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julien Jaeger | 1 | 16 | 7.14 |
| Peter Philippen | 2 | 111 | 5.82 |
| Eric Petit | 3 | 58 | 12.73 |
| Andres Charif Rubial | 4 | 9 | 1.60 |
| Christian Rössel | 5 | 134 | 8.36 |
| William Jalby | 6 | 733 | 148.24 |
| Bernd Mohr | 7 | 1019 | 89.99 |