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Big data and extreme-scale computing

M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, F Cappello, A Choudhary, B de Supinski, E Deelman, J Dongarra (+27 others)
2018 The international journal of high performance computing applications  
Third, we focus on some opportunities for software ecosystem convergence in big, logically centralized facilities that execute large-scale simulations and models and/or perform large-scale data analytics  ...  Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a series of five international workshops that aimed to explore the ways in which the new forms of data-centric discovery  ...  They would also gratefully acknowledge all the following sponsors who supported the big data and exascale computing workshop series: Government Sponsors: US Department of Energy, the National Science Foundation  ... 
doi:10.1177/1094342018778123 fatcat:vwrrxmad4rhtppq6ioaz4h5q7a

Adaptive and Power-Aware Resilience for Extreme-Scale Computing

Xiaolong Cui, Taieb Znati, Rami Melhem
2016 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld)  
progress, in extreme-scale, failureprone computing environments.  ...  With concerted efforts from researchers in hardware, software, algorithm, and resource management, HPC is moving towards extreme-scale, featuring a computing capability of exaFLOPS.  ...  extreme-scale, failure-prone computing environments.  ... 
doi:10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0111 dblp:conf/uic/CuiZM16 fatcat:qw3ld2anjvg7dnbbfbu3ydmmta

XLDB Asia 2012

Xiaofeng Meng, Fusheng Wang
2013 SIGMOD record  
Most invited speakers are also owners of real extremely large data from industries and scientific research, practitioners who are handling the real data, or DBMS researchers who are researching new solutions  ...  Based on the enthusiastic embrace and positive feedbacks from participants, we believe the conference series will continue as a venue for the discussion on the management and analysis of extremely large  ...  Alexander Szalay in the talk entitled "Extreme Data-Intensive Scientific Computing" presented use cases on data intensive scientific computing.  ... 
doi:10.1145/2430456.2430474 fatcat:7chrkfydo5hj5jqklbczbt7gty

Message from the XtremeCLOUD 2018 Workshop Organizers

2018 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)  
To that end, XtremeCLOUD 2018 aims to redefine the state of the art in fundamental aspects of Cloud Computing, such as heterogeneity, resource management, scalability, that enable extreme scale data processing  ...  The selected papers in XtremeCLOUD 2018 present the scientific results of researchers and practitioners from both academia and industry focusing of different aspects of extreme scale data processing.  ... 
doi:10.1109/cloudcom2018.2018.00014 fatcat:2z5lohinhjd2zhqh2idjk7mhau

Extreme Data [Guest editors' introduction]

Manish Parashar, George K. Thiruvathukal
2014 Computing in science & engineering (Print)  
T he current era of extreme data culled from a range of diverse data sources, ranging from extreme-scale simulations to instruments, experiments, and pervasive sensors and systems (the so-called Internet  ...  Their approach to build and execute Big Data applications makes use of actor-oriented modeling in data-parallel computing.  ... 
doi:10.1109/mcse.2014.83 fatcat:5ej2cnhkcrdaxiexz5zcusen6y

Editorial: Towards Exascale Solutions for Big Data Computing

Domenico Talia, Paolo Trunfio, Jesus Carretero, Javier Garcia-Blas
2022 Frontiers in Big Data  
Extreme data refers to massive amounts of Big Data that must be queried, communicated, and analyzed in (near) real-time by using a very large number of memory and computing elements.  ...  Editorial on the Research Topic Towards Exascale Solutions for Big Data Computing The design and implementation of Big Data management and analysis solutions has received many benefits and improvements  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.  ... 
doi:10.3389/fdata.2022.838097 pmid:35224485 pmcid:PMC8874246 fatcat:o6tkz65vlzf55dwpeywejliug4

Extreme Computing: A Primer

Matthew N. O. Sadiku, Adedamola A. Omotoso, Sarhan M. Musa
2019 International Journal of Trend in Scientific Research and Development  
Sustainable large scale computing systems can extend themselves to extreme scales.  ...  Both extreme and exascale computing defy the common wisdom of HPC and are regarded as unorthodox, but they could turn out to be indispensable necessities in the near future [1] .  ...  Extreme computing, also known as extreme-scale computing, involves massive data.  ... 
doi:10.31142/ijtsrd21723 fatcat:fo7hwc2ew5ar5k3njmhhuviuia

MARVEL Workshop - DATAWEEK2022 - The challenges of the extreme-scale multi-modal analytics applications

Sotiris Ioannidis, Manfredo Atzori, Nikolaos Passalis, Paulo Figueiras
2022 Zenodo  
Data Week is the spring gathering of the European Big Data and Data Driven AI research and innovation communities, where the participants share knowledge and results, discuss topics of common interest,  ...  Data Week is co-organized by Big Data Value Association and the EUHubs4Data project. This year's main theme was "Towards an innovative, trusted and fair European data economy".  ...  5 countries • H2020 -Big Data technologies and extreme-scale analytics • Knowledge • Enabling Maritime Digitalization by Extreme-scale Analytics, Ai and Digital Twins • Started January 1 st , 2021 (  ... 
doi:10.5281/zenodo.6667599 fatcat:yzgopyjvprhbvfmraci7zyizuy

Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year

2014 Supercomputing Frontiers and Innovations  
We refer to such evolved state of big data as "Extreme Big Data", or EBD for short, as a counterpart to extreme computing.  ...  Such a situation would create the need for not only petabytes to zetabytes of capacity and beyond, but also for extreme scale computing power.  ...  Conclusions We have introduced and gave an overview of our latest EBD (Extreme Big Data) project, which aims to achieve future convergence of big data and extreme supercomputing.  ... 
doi:10.14529/jsfi140206 fatcat:fxzoyb3hgzaallrbrs4jkks2im

The Rise of Big Data and Cloud Computing

Mohaiminul Islam, Shamim Reza
2019 Internet of Things and Cloud Computing  
This paper surveys the two frontiers -Big Data and cloud computing -and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science  ...  While Big Data is responsible for data storage and processing, the cloud provides a reliable, accessible, and scalable environment for Big Data systems to function.  ...  Massive growth in the scale of data or big data generated through cloud computing has been observed.  ... 
doi:10.11648/j.iotcc.20190702.12 fatcat:xslddmjn5ba2lc3bzgdot42kve

Report from the 4th Workshop on Extremely Large Databases

Jacek Becla, Kian-Tat Lim, Daniel Liwei Wang
2010 Data Science Journal  
Statistical analysis tools and techniques were reportedly insufficient for big, distributed data sets. First, statistical tools should be developed to scale efficiently to big data sizes.  ...  Writable extreme scale databases and the science benchmark were discussed. This paper is the final report of the discussions and activities at this workshop.  ...  ACKNOWLEDGMENTS The XLDB4 workshop was sponsored by SciDB and Zetics, Greenplum, IBM, eBay, LSST, and Aster Data.  ... 
doi:10.2481/dsj.xldb10 fatcat:hpc7afhbwjadvahngm7utw2i4a

The extremes prediction use case

Peter Bauer, Marc Duranton, Michael Malms
2021 Zenodo  
The TransContinuum Initiative: exploiting the full range of digital technologies for the prediction of weather and climate extremes.  ...  Conclusions Predicting environmental extremes clearly has an extreme-scale computing and data footprint.  ...  As shown in Fig. 1 , the TransContinuum embeds smart sensors and IoT within smart networks supplying data to extremescale computing and big data handling platforms.  ... 
doi:10.5281/zenodo.4719362 fatcat:fv35d42vs5fglinv35j74z6dyy

A characterization of workflow management systems for extreme-scale applications

Rafael Ferreira da Silva, Rosa Filgueira, Ilia Pietri, Ming Jiang, Rizos Sakellariou, Ewa Deelman
2017 Future generations computer systems  
computing, commonly termed as extreme-scale computing, which will bring forth multiple challenges for the design of workflow applications and management systems.  ...  The paper also surveys workflow applications and identifies gaps for future research on the road to extreme-scale workflows and management systems.  ...  In addition, as the scientific community prepares for extreme-scale computing, big data analytics is becoming an essential part of the scientific process for insights and discoveries [25] .  ... 
doi:10.1016/j.future.2017.02.026 fatcat:3ri627jyy5a47hgh5r343f5ife

Setting the Direction for Big Data Benchmark Standards [chapter]

Chaitanya Baru, Milind Bhandarkar, Raghunath Nambiar, Meikel Poess, Tilmann Rabl
2013 Lecture Notes in Computer Science  
the Big Data Benchmarking Community, Lightning Talk and Poster at the 6 th Extremely Large Database Conference (XLDB), Stanford Univ, Palo Alto.  ...  Baru, Workshop on Architectures and Systems for Big Data, Portland, OR.  June 22-23, 2012:  Towards Industry Standard Benchmarks for Big Data, M.  ... 
doi:10.1007/978-3-642-36727-4_14 fatcat:iwgs3bagofc5lepyh62gc3jqam


Bikes Agayev, Sitara Safarova
2017 Problems of Information Society  
Furthermore, it studies the emergence, current status and prospects of the transition from classic processing technologies to Big Data technologies.  ...  The article analyzes the causal relationship between the volume of the produced information and the level of development of society and civilization.  ...  A number of researchers forecast the development of the next generation technology for larger scale data (measured in exabytes) in the near future and call them as "Post Big Data", "Extremely Big Data"  ... 
doi:10.25045/jpis.v08.i1.10 fatcat:y2u3skbcxral3l7r76qvp3sicq
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