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| 001 | 152041 | ||
| 005 | 20250314084110.0 | ||
| 020 | _ | _ | |a 978-1-61499-380-3 |
| 024 | 7 | _ | |a 10.3233/978-1-61499-381-0-773 |2 doi |
| 024 | 7 | _ | |a WOS:000452120400078 |2 WOS |
| 037 | _ | _ | |a FZJ-2014-01861 |
| 100 | 1 | _ | |a Schlütter, Marc |0 P:(DE-Juel1)142180 |b 0 |u fzj |
| 111 | 2 | _ | |a International Conference on Parallel Computing |g ParCo 2013 |c Munich |d 2013-09-10 - 2013-09-13 |w Germany |
| 245 | _ | _ | |a Profiling Hybrid HMPP Applications with Score-P on Heterogeneous Hardware |
| 260 | _ | _ | |c 2014 |b IOS Press |
| 295 | 1 | 0 | |a Parallel Computing: Accelerating Computational Science and Engineering (CSE) |
| 300 | _ | _ | |a 773 - 782 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1402401709_15788 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 490 | 0 | _ | |a Advances in Parallel Computing |v 25 |
| 520 | _ | _ | |a In heterogeneous environments with multi-core systems and accelerators, programming and optimizing large parallel applications turns into a time-intensive and hardware-dependent challenge. To assist application developers in this process, a number of tools and high-level compilers have been developed. Directive-based programming models such as HMPP and OpenACC provide abstractions over low-level GPU programming models,such as CUDA or OpenCL. The compilers developed by CAPS automatically transform the pragma-annotated application code into low-level code, thereby allowing the parallelization and optimization for a given accelerator hardware. To analyze the performance of parallel applications, multiple partners in Germany and the US jointly develop the community measurement infrastructure Score-P. Score-P gathers performance execution profiles, which can be presented and analyzed within the CUBE result browser, and collects detailed event traces to be processed by post-mortem analysis tools such as Scalasca and Vampir.In this paper we present the integration and combined use of Score-P and the CAPS compilers as one approach to efficiently parallelize and optimize codes. Specifically, we describe the PHMPP profiling interface, it's implementation in Score-P, and the presentation of preliminary results in CUBE. |
| 536 | _ | _ | |a 411 - Computational Science and Mathematical Methods (POF2-411) |0 G:(DE-HGF)POF2-411 |c POF2-411 |f POF II |x 0 |
| 536 | _ | _ | |0 G:(DE-Juel-1)ATMLPP |a ATMLPP - ATML Parallel Performance (ATMLPP) |c ATMLPP |x 1 |
| 700 | 1 | _ | |a Philippen, Peter |0 P:(DE-Juel1)143710 |b 1 |u fzj |
| 700 | 1 | _ | |a Morin, Laurent |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Geimer, Markus |0 P:(DE-Juel1)132112 |b 3 |u fzj |
| 700 | 1 | _ | |a Mohr, Bernd |0 P:(DE-Juel1)132199 |b 4 |u fzj |
| 773 | _ | _ | |a 10.3233/978-1-61499-381-0-773 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/152041/files/FZJ-2014-01861.pdf |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:152041 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)142180 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)143710 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)132112 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)132199 |
| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Supercomputing & Big Data |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Schlüsseltechnologien |l Supercomputing |1 G:(DE-HGF)POF2-410 |0 G:(DE-HGF)POF2-411 |2 G:(DE-HGF)POF2-400 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
| 914 | 1 | _ | |y 2014 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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