Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Nico Reissmann"'
Autor:
Per Gunnar Kjeldsberg, Robert Schöne, Michael Gerndt, Lubomir Riha, Venkatesh Kannan, Kai Diethelm, Marie-Christine Sawley, Jan Zapletal, Andreas Gocht, Nico Reissmann, Ondrej Vysocky, Madhura Kumaraswamy, Wolfgang E. Nagel
Publikováno v:
System-Scenario-based Design Principles and Applications ISBN: 9783030203429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb0e01c15b1734b9c2de1a2b40e0af4
https://doi.org/10.1007/978-3-030-20343-6_6
https://doi.org/10.1007/978-3-030-20343-6_6
Publikováno v:
ACM Transactions on Embedded Computing Systems
Intermediate Representations (IRs) are central to optimizing compilers as the way the program is represented may enhance or limit analyses and transformations. Suitable IRs focus on exposing the most relevant information and establish invariants that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c6863354c993b49b286a9f8efc050a
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:
Nico Reissmann, Mohammed Sourouri, Per Gunnar Kjeldsberg, Johannes Langguth, Espen Birger Raknes, Daniel Hackenberg, Robert Schöne
Publikováno v:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on -SC '17
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on-SC 17
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
SC
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on-SC 17
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
SC
There is a consensus that exascale systems should operate within a power envelope of 20MW. Consequently, energy conservation is still considered as the most crucial constraint if such systems are to be realized. So far, most research on this topic ha
Autor:
Benjamin A. Bjornseth, Magnus Jahre, Jan Christian Meyer, Helge Bahmann, Thomas L. Falch, Nico Reissmann
Publikováno v:
HPCS
The CUDA and OpenCL programming models have facilitated the widespread adoption of general-purpose GPU programming for data-parallel applications. GPUs accelerate these applications by assigning groups of threads to SIMD units, which execute the same
Publikováno v:
Scopus-Elsevier
Demand-based dependence graphs (DDGs), such as the (Regionalized) Value State Dependence Graph ((R)VSDG), are intermediate representations (IRs) well suited for a wide range of program transformations. They explicitly model the flow of data and state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29e909af4a77c41ec978284b4ffdc15c
http://www.scopus.com/inward/record.url?eid=2-s2.0-84921321194&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84921321194&partnerID=MN8TOARS
Autor:
PENTY, ARTHUR, TUFTE, GUNNAR
Publikováno v:
International Journal of Unconventional Computing; 2023, Vol. 18 Issue 4, p323-341, 19p
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Sep2023, Vol. 20 Issue 3, p1-25, 25p
Publikováno v:
ACM Transactions on Embedded Computing Systems; Oct2020, Vol. 19 Issue 6, p1-28, 28p
Publikováno v:
2014 IEEE International Parallel & Distributed Processing Symposium Workshops; 2014, p815-822, 8p