scholarly journals ParaView + Alya + D8tree: Integrating High Performance Computing and High Performance Data Analytics

2017 ◽  
Vol 108 ◽  
pp. 465-474 ◽  
Author(s):  
Antoni Artigues ◽  
Cesare Cugnasco ◽  
Yolanda Becerra ◽  
Fernando Cucchietti ◽  
Guillaume Houzeaux ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Data Analytics ◽  
High Performance ◽  
Performance Data ◽  
Performance Computing

The Future of High-Performance Computing (HPC)

2018 ◽  
pp. 4004-4017
Author(s):  
Herbert Cornelius
Keyword(s):  
High Performance Computing ◽  
Data Analytics ◽  
High Performance ◽  
Economic Value ◽  
Big Data Analytics ◽  
Science Research ◽  
Ease Of Use ◽  
Challenges And Opportunities ◽  
Development Engineering ◽  
Performance Computing

For decades, HPC has established itself as an essential tool for discoveries, innovations and new insights in science, research and development, engineering and business across a wide range of application areas in academia and industry. Today High-Performance Computing is also well recognized to be of strategic and economic value – HPC matters and is transforming industries. This article will discuss new emerging technologies that are being developed for all areas of HPC: compute/processing, memory and storage, interconnect fabric, I/O and software to address the ongoing challenges in HPC such as balanced architecture, energy efficient high-performance, density, reliability, sustainability, and last but not least ease-of-use. Of specific interest are the challenges and opportunities for the next frontier in HPC envisioned around the 2020 timeframe: ExaFlops computing. We will also outline the new and emerging area of High Performance Data Analytics, Big Data Analytics using HPC, and discuss the emerging new delivery mechanism for HPC - HPC in the Cloud.

scholarly journals JURECA: General-purpose supercomputer at Jülich Supercomputing Centre

2016 ◽  
Vol 2 ◽  
Author(s):  
Dorian Krause ◽  
Philipp Thörnig
Keyword(s):  
High Performance Computing ◽  
Data Analytics ◽  
High Performance ◽  
General Purpose ◽  
Cluster Architecture ◽  
Performance Computing ◽  
Selection Of

JURECA is a petaflop-scale, general-purpose supercomputer operated by Jülich Supercomputing Centre at Forschungszentrum Jülich. Utilizing a flexible cluster architecture based on T-Platforms V-Class blades and a balanced selection of best of its kind components the system supports a wide variety of high-performance computing and data analytics workloads and offers a low entrance barrier for new users.

scholarly journals Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 156929-156955
Author(s):  
Silvina Caino-Lores ◽  
Jesus Carretero ◽  
Bogdan Nicolae ◽  
Orcun Yildiz ◽  
Tom Peterka
Keyword(s):  
Big Data ◽  
High Performance Computing ◽  
Data Analytics ◽  
High Performance ◽  
Big Data Analytics ◽  
Performance Computing
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