TinyFat
addresses applications with the demand for large main memory and
has nodes with three different types:
8
nodes with 2x 2x Intel Xeon E5-2643 v4 (“Broadwell”) @3.4 GHz = 12 cores/24 threads and 256 GB main memory
3 nodes with 2x Intel Xeon E5-2680 v4 (“Broadwell”) @2.4 GHz = 28 cores/56 threads and 512 GB main memory
36 nodes with 2x AMD Rome 7502 @2.5 GHz = 64 cores/128 threads and 512 GM main memory
All nodes have been purchased/financed by specific groups or
special projects. These users have priority access and nodes may be
reserved exclusively for them.
Debug: Alles
name_de: Linux-basierte HPC-Rechenknoten mit erhöhtem Hauptspeicher / HPC-Cluster TinyFat
name_en: Linux based HPC compute nodes with large main memory / High performance computer TinyFat
model: TinyFat-Cluster
url: https://hpc.fau.de/systems-services/systems-documentation-instructions/clusters/tinyfat-cluster/
manufacturer: diverse
year: 0
location_de: Erlangen
location_en: Erlangen
usage_de: FAU intern
usage_en: FAU internal
description_de:
description_en: <p></p><div>TinyFat
addresses applications with the demand for large main memory and
has nodes with three different types:</div><ul><li>8
nodes with 2x 2x Intel Xeon E5-2643 v4 (“Broadwell”) @3.4 GHz = 12 cores/24 threads and 256 GB main memory</li><li>3 nodes with 2x Intel Xeon E5-2680 v4 (“Broadwell”) @2.4 GHz = 28 cores/56 threads and 512 GB main memory</li><li>36 nodes with 2x AMD Rome 7502 @2.5 GHz = 64 cores/128 threads and 512 GM main memory<br /></li></ul>All nodes have been purchased/financed by specific groups or
special projects. These users have priority access and nodes may be
reserved exclusively for them.<p></p>
feature_de:
feature_en:
pictures: <QuerySet []>
cards: <QuerySet [<Card: Card of Gerhard, Wellein: (True)>, <Card: Card of Thomas, Zeiser: (True)>]>
funding_sources: <QuerySet []>
projects: <QuerySet [<Project: Deep-Learning-Informed Glacio-Hydrological Threat (DELIGHT Framework), DELIGHT Framework, , , , , 2024-09-01, 2030-08-31, , 2030-08-31, Third party funded individual grant, True>, <Project: International Doctoral Program: Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA) (MOCCA), MOCCA, , , <p>Mountain glaciers and ice caps outside the large ice sheets of Greenland and Antarctica contribute about 41% to the global sea level rise between 1901 to 2018 (IPCC 2021). While the Arctic ice masses are and will remain the main contributors to sea level rise, glacier ice in other mountain regions can be critical for water supply (e.g. irrigation, energy generation, drinking water, but also river transport during dry periods). Furthermore, retreating glaciers also can cause risks and hazards by floods, landslides and rock falls in recently ice-free areas. As a consequence, the Intergovernmental Panel of Climate Change (IPCC) dedicates special attention to the cryosphere (IPCC 2019; IPCC 2021). WMO and UN have defined Essential Climate Variables (ECV) for assessing the status of the cryosphere and its changes. These ECVs should be measured regularly on large scale and are essential to constrain subsequent modelling efforts and predictions.<br />The proposed International Doctorate Program (IDP) “Measuring and Modelling Mountain glaciers and ice caps in a Changing ClimAte (M3OCCA)” will substantially contribute to improving our observation and measurement capabilities by creating a unique inter- and transdisciplinary research platform. We will address main uncertainties of current measurements of the cryosphere by developing new instruments and future analysis techniques as well as by considerably advancing geophysical models in glaciology and natural hazard research. The IDP will have a strong component of evolving techniques in the field of deep learning and artificial intelligence (AI) as the data flow from Earth Observation (EO) into modelling increases exponentially. IDP M3OCCA will become the primary focal point for mountain glacier research in Germany and educate emerging<br />talents with an interdisciplinary vision as well as excellent technical and soft skills. Within the IDP we combine cutting edge technologies with climate research. We will develop future technologies and transfer knowledge from other disciplines into climate and glacier research to place Bavaria at the forefront in the field of mountain cryosphere research. IDP M3OCCA fully fits into FAU strategic goals and it will leverage on Bavaria’s existing long-term commitment via the super test site Vernagtferner in the Ötztal Alps run by Bavarian Academy of Sciences (BAdW). In addition, we cooperate with the University of Innsbruck and its long-term observatory at Hintereisferner. At those super test sites, we will perform joint measurements, equipment tests, flight campaigns and cross-disciplinary trainings and exercises for our doctoral researchers. We leverage on existing<br />instrumentation, measurements and time series. Each of the nine doctoral candidates will be guided by interdisciplinary, international teams comprising university professors, senior scientists and emerging talents from the participating universities and external research organisations.<br /></p>, , 2022-06-01, 2026-05-31, , 2026-05-31, Third party funded individual grant, True>, <Project: Measurements of height and mass changes of glaciers and ice caps outside the large ice sheets using TanDEM-X (SATELLITE-2), SATELLITE-2, , DFG SPP 1889: Regionaler Meeresspiegelanstieg & Gesellschaft, <p>Glaciers and ice caps outside the large ice sheets show considerable
elevation and mass changes and are strong contributors to sea level
change. However, to date only few regional assessments exist that
provide a glacier-specific analysis over entire region or on global
scale. This information is relevant for global glacier models, the
reconstruction of ice thickness as well as for sustainable water
management. In the current project phase, we analyse elevation changes
for all glaciers covered by the Shuttle Radar Topography Mission (SRTM)
between 56°S and 60°N using data from the SRTM (2000) and the German
TanDEM-X mission (2010 to 2015). We apply differential SAR
interferometry and a state-of-the-art post-processing procedures to
generate a near global assessments of glaciers mass changes outside the
polar regions. In this follow-up proposal, we aim at spatially
expanding, at updating with a new time slice using new observations and
at improving our measurements from the first phase. We will compare
TanDEM-X (2010-2015) to TanDEM-X acquisitions (2017+). Those data sets
will enable an improved spatial resolution of 10 m, less observation
voids and cover also regions beyond 60°N. For some of the proposed
regions we will provide for the first time glacier-specific
measurements. We will use the recently available global TanDEM-X DEM and
the ArcticDEM as reference for our processing. Technical and
methodological developments will comprise adaptation of the processing
chain, parallelisation and transfer to high performance computing,
improved gap filling approaches and improved penetration depth
correction by integrating concurrent laser altimetry. We will analyse
the results in regard to changes potential causes and processes leading
to the changes as well as to accelerated or decelerated change rates.
</p>, , 2020-03-01, 2022-06-30, , 2022-06-30, Third Party Funds Group - Sub project, True>, <Project: Tapping the potential of Earth Observations (TAPE), TAPE, , , , , 2019-04-01, 2021-03-31, 2022-03-31, 2022-03-31, FAU own research funding: EFI / IZKF / EAM ..., True>, <Project: A stochastic estimate of sea level contribution from glaciers and ice caps using satellite
remote sensing (SATELLITE), SATELLITE, https://www.spp-sealevel.de/index.php?id=3130, DFG Schwerpunktprogramm "Regional Sea Level Change & Society", , <div>
Glaciers and ice caps outside the
large ice sheets show considerable elevation and mass changes and are
strong contributors to sea level change. However, to date only few
regional assessments exist that provide a glacier-specific analysis over
entire region or on global scale. This information is relevant for
global glacier models, the reconstruction of ice thickness as well as
for sustainable water management. In the current project phase, we
analyse elevation changes for all glaciers covered by the Shuttle Radar
Topography Mission (SRTM) between 56°S and 60°N using data from the SRTM
(2000) and the German TanDEM-X mission (2010 to 2015). We apply
differential SAR interferometry and a state-of-the-art post-processing
procedures to generate a near global assessments of glaciers mass
changes outside the polar regions. In this follow-up proposal, we aim at
spatially expanding, at updating with a new time slice using new
observations and at improving our measurements from the first phase. We
will compare TanDEM-X (2010-2015) to TanDEM-X acquisitions (2017+).
Those data sets will enable an improved spatial resolution of 10 m, less
observation voids and cover also regions beyond 60°N. For some of the
proposed regions we will provide for the first time glacier-specific
measurements. We will use the recently available global TanDEM-X DEM and
the ArcticDEM as reference for our processing. Technical and
methodological developments will comprise adaptation of the processing
chain, parallelisation and transfer to high performance computing,
improved gap filling approaches and improved penetration depth
correction by integrating concurrent laser altimetry. We will analyse
the results in regard to changes potential causes and processes leading
to the changes as well as to accelerated or decelerated change rates.
</div>, 2017-01-01, 2020-02-29, , 2020-02-29, Third Party Funds Group - Sub project, True>]>
publications: <QuerySet [<Publication: Large-scale simulations of Floquet physics on near-term quantum computers>, <Publication: Towards quantum gravity with neural networks: solving the quantum Hamilton constraint of U(1) BF theory>, <Publication: Towards quantum gravity with neural networks: solving quantum Hamilton constraints of 3d Euclidean gravity in the weak coupling limit>, <Publication: Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases>, <Publication: Classification of rheumatoid arthritis from hand motion capture data using machine learning>, <Publication: Mass changes of the northern Antarctic Peninsula Ice Sheet derived from repeat bi-static synthetic aperture radar acquisitions for the period 2013–2017>, <Publication: Variational Hamiltonian simulation for translational invariant systems via classical pre-processing>, <Publication: Superlattice approach to doping infinite-layer nickelates>, <Publication: Distributed Global Debris Thickness Estimates Reveal Debris Significantly Impacts Glacier Mass Balance>, <Publication: Global glacier surface elevation change and geodetic mass balance estimations>]>
fobes: <QuerySet []>
orgas: <QuerySet [<Organisation: Regionales Rechenzentrum Erlangen (RRZE), Regionales Rechenzentrum Erlangen (RRZE), Erlangen, 91058, Martensstraße, 2999-12-31, Zentrale Einrichtungen, True>, <Organisation: Professur für Höchstleistungsrechnen, The research activities of the HPC professorship are located at the interface between numerical applications and modern parallel, heterogeneous high-performance computers.<br /><br />The application focus is on the development and implementation of hardware- and energy-efficient numerical methods and application programs. The foundation of all activities is a structured performance engineering (PE) process based on analytic performance models. Such models describe the interaction between software and hardware and are thus able to systematically identify efficient implementation, optimization and parallelization strategies. The PE process is applied to stencil-based schemes as well as basic operations and eigenvalue solvers for large sparse problems.<br /><br />In the computer science-oriented research focus, performance models, PE methods and easy-to-use open source tools are developed that support the process of performance engineering and performance modeling on the compute node level. We focus on the continuous development of the ECM performance model and the LIKWID tool collection.<br /><br />In teaching and training, the working group consistently relies on a model-based approach to teach optimization and parallelization techniques. The courses are integrated into the computer science and computational engineering curriculum at FAU. Furthermore, the group offers an internationally successful tutorial program on performance engineering and hybrid programming.<br /><br />Prof. Wellein is director of the Erlangen National Center for High-Performance Computing (NHR@FAU) and is the spokesman of the Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR)., Erlangen, 91058, Martensstraße, 2999-12-31, Department Informatik, True>]>
