Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ananya Muddukrishna"'
Autor:
Sandra Hernandez, Jose Araujo, Patric Jensfelt, Ioannis Karagiannis, Ananya Muddukrishna, Bryan Donyanavard
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9b2c1240d2bca7f7eac557a0cb56a47
https://doi.org/10.1109/iros51168.2021.9635978
https://doi.org/10.1109/iros51168.2021.9635978
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0123545 (2015)
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools only report thread-based performance. Performance tuning also requires task-based performance in order to balance per-task memory hierarchy utilization
Externí odkaz:
https://doaj.org/article/0d264dc000d241849f04d3596fe018b1
Autor:
Magnus Jahre, Carlota Pons, Boitumelo Ruf, Lester Kalms, Antonio Paolillo, Igor Tchouchenkov, Ben Rodriguez, Diana Gohringer, Carl Ehrenstrahle, Ananya Muddukrishna, Tobias Kalb, Philippe Millet, Tobias Schuchert, Magnus Peterson, Flemming Christensen
Publikováno v:
Hardware Accelerators in Data Centers ISBN: 9783319927916
Today, many industrial domains rely on vision-based embedded systems. High computing performance of the embedded platform is a mandatory feature for modern image processing applications. Yet, these embedded systems have to comply with strict requirem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49f4e2b26045b951322c0aa8dc97b496
https://doi.org/10.1007/978-3-319-92792-3_10
https://doi.org/10.1007/978-3-319-92792-3_10
Autor:
Ananya Muddukrishna, Nico Reissmann
Publikováno v:
Lecture Notes in Computer Science
Euro-Par 2018: Parallel Processing ISBN: 9783319969824
Euro-Par
Lecture Notes in Computer Science-Euro-Par 2018: Parallel Processing
Euro-Par 2018: Parallel Processing ISBN: 9783319969824
Euro-Par
Lecture Notes in Computer Science-Euro-Par 2018: Parallel Processing
Grain graphs simplify OpenMP performance analysis by visualizing performance problems from a fork-join perspective that is familiar to programmers. However, when programmers decide to expose a high amount of parallelism by creating thousands of task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3bf31f8c646c422d2ffa52f6c90ab99
https://hdl.handle.net/11250/2560809
https://hdl.handle.net/11250/2560809
Autor:
Ahmad Sadek, Ariel Podlubne, Diana Goehringer, Antonio Paolillo, Magnus Jahre, Asbjørn Djupdal, Lester Kalms, Ananya Muddukrishna
Publikováno v:
Applied Reconfigurable Computing. Architectures, Tools, and Applications ISBN: 9783319788890
ARC
ARC
The TULIPP project aims to simplify development of embedded vision applications with low-power and real-time requirements by providing a complete image processing system package called the TULIPP Starter Kit. To achieve this, the chosen high-performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bec5680f7af5b415cea612fca25073b
https://doi.org/10.1007/978-3-319-78890-6_59
https://doi.org/10.1007/978-3-319-78890-6_59
Publikováno v:
Scaling OpenMP for Exascale Performance and Portability ISBN: 9783319655772
IWOMP
IWOMP
The upcoming profiling API standard OMPT can describe almost all profiling events required to construct grain graphs, a recent visualization that simplifies OpenMP performance analysis. We propose OMPT extensions that provide the missing descriptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::987e5ed21dccc77fbfef5cbf9b2ed333
https://doi.org/10.1007/978-3-319-65578-9_10
https://doi.org/10.1007/978-3-319-65578-9_10
Publikováno v:
PPOPP
Average programmers struggle to solve performance problems in OpenMP programs with tasks and parallel for-loops. Existing performance analysis tools visualize OpenMP task performance from the runtime system's perspective where task execution is inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25434335c485ee957493edaa40b6e2c9
https://doi.org/10.1145/2851141.2851156
https://doi.org/10.1145/2851141.2851156
Autor:
Tobias Kalb, Lester Kalms, Diana Gohringer, Carlota Pons, Fabien Marty, Ananya Muddukrishna, Magnus Jahre, Per Gunnar Kjeldsberg, Boitumelo Ruf, Tobias Schuchert, Igor Tchouchenkov, Carl Ehrenstrahle, Magnus Peterson, Flemming Christensen, Antonio Paolillo, Christian Lemer, Ben Rodriguez, Guillaume Bernard, Francois Duhem, Philippe Millet
Publikováno v:
SAMOS
Many industrial domains rely on vision-based applications which require to comply with severe performance and embedded requirements. TULIPP will develop a reference platform, which consists of a hardware system, a tool chain and a real-time operating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06353b1ecc75816f1aca0a14f9c8502
https://hdl.handle.net/11250/2432892
https://hdl.handle.net/11250/2432892
Publikováno v:
DSD
Task scheduling is crucial for the performance of parallel applications. Given dependence constraints between tasks, their arbitrary sizes, and bounded resources available for execution, optimal task scheduling is considered as an NP-hard problem. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::020f15eaf7e5fa67fea611a2f6884f36
https://doi.org/10.1109/dsd.2014.71
https://doi.org/10.1109/dsd.2014.71
Publikováno v:
OpenMP in the Era of Low Power Devices and Accelerators ISBN: 9783642406973
IWOMP
IWOMP
Modern parallel computer systems exhibit Non-Uniform Memory Access (NUMA) behavior. For best performance, any parallel program therefore has to match data allocation and scheduling of computations to the memory architecture of the machine. When done
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78830db53b1e99da1f2b4c2eed02b48d