Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Matthias Maiterth"'
Autor:
Alessio Netti, Neda Davoudi, Gence Ozer, Gabrielle Poerwawinata, Daniele Tafani, Sarthak Garg, Matthias Maiterth
Publikováno v:
Euro-Par 2019: Parallel Processing Workshops ISBN: 9783030483395
Euro-Par Workshops
Euro-Par Workshops
High-Performance Computing systems collect vast amounts of operational data with the employment of monitoring frameworks, often augmented with additional information from schedulers and runtime systems. This amount of data can be used and turned into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c874b777fe77f4ff63ace0c3ed4e4e78
https://doi.org/10.1007/978-3-030-48340-1_48
https://doi.org/10.1007/978-3-030-48340-1_48
Autor:
Barry Rountree, Siddhartha Jana, Aniruddha Marathe, Carsten Trinitis, Tapasya Patki, Matthias Maiterth, Christopher M. Cantalupo, Ryuichi Sakamoto, Masaaki Kondo, Martin Schulz, Jonathan M. Eastep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::183ffd1840c18b5df9b7267766df9a7a
https://doi.org/10.2172/1466153
https://doi.org/10.2172/1466153
Autor:
Dave Montoya, Kevin Pedretti, Matthias Maiterth, Milos Puzovic, Natalie Bates, Andrea Borghesi, Siddhartha Jana, Gregory A. Koenig, Andrea Bartolini
Publikováno v:
IPDPS Workshops
This work describes the motivation and methodology of a first-of-its-kind global survey of HPC centers actively employing Energy and Power Aware Scheduling and Resource Management solutions for their production systems. The Energy-Efficient High-Perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::074b55799002ba0cc927a79408eacd93
https://doi.org/10.1109/ipdpsw.2018.00111
https://doi.org/10.1109/ipdpsw.2018.00111
Autor:
Torsten Wilde, Matthias Maiterth, Martin Schulz, Barry Rountree, Jonathan M. Eastep, David K. Lowenthal, Dieter Kranzlmiiller
Publikováno v:
HPCS
Power and energy consumption are seen of one of the most critical design factor for any next generation large-scale HPC system. The price centers have to pay for energy is shifting the budgets from investment to operating costs, leading to scenarios
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09cd724da2372e08af786f34340ab50b
https://doi.org/10.1109/hpcs.2017.11
https://doi.org/10.1109/hpcs.2017.11
Autor:
Christopher M. Cantalupo, Brad Geltz, Al-Rawi Asma, Matthias Maiterth, Federico Ardanaz, Jonathan M. Eastep, Siddhartha Jana, Fuat Keceli, Steve S. Sylvester, Kelly Livingston
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319586663
ISC
ISC
The power scaling challenge associated with Exascale systems is a well-known issue. In this work, we introduce the Global Extensible Open Power Manager (GEOPM): a tree-hierarchical, open source runtime framework we are contributing to the HPC communi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b6cea1612b3714ba491f55869a1ea2
https://doi.org/10.1007/978-3-319-58667-0_21
https://doi.org/10.1007/978-3-319-58667-0_21
Autor:
Matthias Maiterth
With the move towards exascale, system and software developers will have to deal with issues of extreme parallelism. The system properties affected most by the increase in node and core count are the shared resources on node and across the system. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b4954eb9acc47caa017c5f17ddea3eb
https://doi.org/10.2172/1183550
https://doi.org/10.2172/1183550
Autor:
Colin W. Glass, Matthias Maiterth, Andreas Knüpfer, Huan Zhou, Kamran Idrees, Denis Hünich, José Gracia, Yousri Mhedheb, Jie Tao, Karl Fürlinger
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319143125
Euro-Par Workshops (2)
Euro-Par Workshops (2)
DASH is a realization of the PGAS (partitioned global address space) model in the form of a C++ template library. Operator overloading is used to provide global-view PGAS semantics without the need for a custom PGAS (pre-)compiler. The DASH library i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a20866fc814f964565639dfa63e4baa2
https://doi.org/10.1007/978-3-319-14313-2_46
https://doi.org/10.1007/978-3-319-14313-2_46
Publikováno v:
DOE / OSTI
IPDPS Workshops
IPDPS Workshops
Optimal utilization of power is a major concern for HPC, and is one of the focus points on the path towards exascale and approaches range from chip level to facility wide solutions. In order to evaluate the implications of these approaches and their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::156e621d9cacae32f0de8f63f98738e2
https://www.osti.gov/biblio/1256431-power-balancing-emulated-exascale-environment
https://www.osti.gov/biblio/1256431-power-balancing-emulated-exascale-environment