Conveners
Converging High Performance infrastructures: Supercomputers, clouds, accelerators Session: I
- Kento Aida (National Institute of Informatics)
Converging High Performance infrastructures: Supercomputers, clouds, accelerators Session: II
- Patrick Fuhrmann (DESY/dCache.org)
Dr
Stephan Hachinger
(Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities)
27/08/2020, 14:00
Infrastructure Clouds and Virtualisation
Oral Presentation
The LEXIS project (Large-scale EXecution for Industry & Society, H2020 GA 825532) provides a platform for optimized execution of Cloud-HPC workflows, reducing computation time and increasing energy efficiency. The system will rely on advanced, distributed orchestration solutions (Bull Ystia Orchestrator, based on TOSCA and Alien4Cloud technologies), the High-End Application Execution...
Dr
Pablo Llopis Sanmillan
(CERN)
27/08/2020, 14:30
Physics (including HEP) and Engineering Applications
Oral Presentation
CERN IT department has been running two Linux based computing infrastructures in HTCondor and SLURM for many years. HTCondor resources are used for general purpose parallel but single-node type jobs, providing computing power to the CERN experiments and departments for tasks such as physics event reconstruction, data analysis and simulation. For HPC workloads that require multi-node parallel...
Mr
Haili XIAO
(Supercomputing Center, Chinese Academy of Sciences)
27/08/2020, 15:00
Converging High Performance infrastructures: Supercomputers, clouds, accelerators
Oral Presentation
GuangMu Cloud: An Example of Data-centric and Converging infrastructure
广目云：一个以数据为中心的超融合基础设施
CASEarth is a strategic priority research program of the Chinese Academy of Sciences (CAS), it’s designed to achieve substantial breakthroughs for Big Earth Data, which is an important subset of big data dealing with sciences of atmosphere, land, and oceans. CASEarth is becoming a new frontier...
Mr
Michael Schuh
(DESY)
27/08/2020, 16:00
Converging High Performance infrastructures: Supercomputers, clouds, accelerators
Oral Presentation
DESY provides significant storage and computing resources with more than 30PB of data about 50 000 cores to its users. It is one of the largest sites in the High-Energy computing Grid and provides the computing and storage infrastructure to the European XFEL as well as local experiments. As with such a the large user base, DESY's goal is to provide an easy and efficient access to the resources...
Prof.
Frank Wuerthwein
(UCSD/SDSC)
27/08/2020, 16:30
Converging High Performance infrastructures: Supercomputers, clouds, accelerators
Oral Presentation
The NSF funded Pacific Research Platform Project operates a distributed compute environment including GPUs and FPGAs as accelerators that seamlessly extends into Google Cloud for use of TPUs as accelerators. It offers interactive access via Jupyter notebooks, and High Throughput Computing access via the Open Science Grid. The former tends to be the preferred platform for machine learning and...
Mr
Tommaso Diotalevi
(INFN and University of Bologna)
27/08/2020, 17:00
Converging High Performance infrastructures: Supercomputers, clouds, accelerators
Oral Presentation
Machine and Deep Learning techniques experienced an explosion in the adoption in a variety of HEP applications, ranging from event selection to end-user physics data analysis, as well as computing metadata based optimizations.
The range of applicability of such techniques in the High Energy Physics (HEP) context – with a particular accent on experiments at the Large Hadron Collider (LHC) at...
