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DTSTART:19700308T020000
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DTSTAMP:20191206T142455Z
LOCATION:Booth N-230
DTSTART;TZID=Europe/Stockholm:20180626T151500
DTEND;TZID=Europe/Stockholm:20180626T154500
UID:isc_hpc_ISC High Performance 2018_sess144_proj115@linklings.com
SUMMARY:(PP12) DEEP-HybridDataCloud
DESCRIPTION:Project Poster\n\n(PP12) DEEP-HybridDataCloud\n\nKozlov, Donvi
 to, Gomes, Juan Ferrer, López García...\n\nThe DEEP Hybrid DataCloud proje
 ct aims to provide a bridge towards a more flexible exploitation of intens
 ive computing resources by the research communities, enabling access to th
 e latest technologies and specialised HPC hardware, like GPUs or low-laten
 cy interconnects, to be able to explore large datasets.  We will integrate
  the intensive computing services under a Hybrid Cloud approach, assuring 
 interoperability with unmodified HPC resources as well as the upcoming EOS
 C platform. This will simplify access to resources that may not be easily 
 reachable by researchers at scale.\n\nA number of pilot applications explo
 iting very large datasets in e.g. Biology, Earth Observation, Network Secu
 rity, and Physics are proposed.  They will be integrated in a testbed with
  significant HPC resources, including latest generation GPUs, to evaluate 
 the performance and scalability of the solutions. A DevOps approach will b
 e implemented to provide the chain to ensure the quality of the software a
 nd services released, that will also be offered to the developers of resea
 rch applications.\n\nWe aim to release a “DEEP as a Service” solution to o
 ffer an easy integration path for new communities and users to develop app
 lications requiring deep learning techniques, parallel post-processing of 
 very large data, and analysis of massive online data streams.\n\nThe proje
 ct has received funding from the European Union’s Horizon 2020 research an
 d innovation programme under grant agreement No. 777435, and started on No
 vember 1, 2017, with the runtime of 30 months.\n\nPasses: Conference Pass,
  Exhibition Pass, AI/Machine Learning/Deep Learning, Clouds and Distribute
 d Computing, Containerized HPC, HPC Accelerators, HPC workflows\n\nTag: Co
 nference Pass, Exhibition Pass, AI/Machine Learning/Deep Learning, Clouds 
 and Distributed Computing, Containerized HPC, HPC Accelerators, HPC workfl
 ows
URL:https://2018.isc-program.com/presentation/?id=proj115&sess=sess144
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