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An Autonomic Performance Environment for Exascale

2015 Supercomputing Frontiers and Innovations  
Our approach, called APEX (Autonomic Performance Environment for eXascale), provides mechanisms for sharing information among the layers of the software stack, including hardware, operating and runtime  ...  Exascale systems will require new approaches to performance observation, analysis, and runtime decision-making to optimize for performance and efficiency.  ...  When the concurrency listener gets a An Autonomic Performance Environment for Exascale timer start event, it pushes the timer ID onto a thread-specific stack, and returns.  ... 
doi:10.14529/jsfi150305 fatcat:2bzny7ep5zfmxkkwyitg2pp7d4

An early prototype of an autonomic performance environment for exascale

Kevin Huck, Sameer Shende, Allen Malony, Hartmut Kaiser, Allan Porterfield, Rob Fowler, Ron Brightwell
2013 Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers - ROSS '13  
An initial version of an autonomic performance environment called APEX has been developed for OpenX using the current TAU performance technology and results are presented that highlight the challenges  ...  In this paper we describe the DOE-funded XPRESS project and the role of autonomic performance support in exascale systems.  ...  XPRESS will be designed and developed with an autonomic performance environment for exascale (called APEX) with this new performance paradigm.  ... 
doi:10.1145/2491661.2481434 dblp:conf/ics/HuckSMKPFB13 fatcat:qum63pv3dfaw7ksinw4ujqm6j4

Challenges and Recommendations for Preparing HPC Applications for Exascale [article]

Erika Abraham, Costas Bekas, Ivona Brandic, Samir Genaim, Einar Broch Johnsen, Ivan Kondov, Sabri Pllana, Achim Streit
2015 arXiv   pre-print
In this paper we argue that efforts for preparing HPC applications for Exascale should start before such systems become available.  ...  Furthermore, we outline a conceptual framework for porting HPC applications to future Exascale computing systems and propose steps for its implementation.  ...  The collection rates and the overall volume of monitoring data in an Exascale computing environment will exceed the scalability of present performance tools.  ... 
arXiv:1503.06974v2 fatcat:ehins3rgmred5itigap3xohooy

Preparing HPC Applications for Exascale: Challenges and Recommendations

Erika Abraham, Costas Bekas, Ivona Brandic, Samir Genaim, Einar Broch Johnsen, Ivan Kondov, Sabri Pllana, Achim Streit
2015 2015 18th International Conference on Network-Based Information Systems  
In this paper we argue that efforts for preparing HPC applications for Exascale should start before such systems become available.  ...  Furthermore, we outline a conceptual framework for porting HPC applications to future Exascale computing systems and propose steps for its implementation.  ...  The collection rates and the overall volume of monitoring data in an Exascale computing environment will exceed the scalability of present performance tools.  ... 
doi:10.1109/nbis.2015.61 dblp:conf/nbis/AbrahamBBGJKPS15 fatcat:vrptx6acgzgblogcmezc5aqrsi

How Europe Is Preparing Its Core Solution for Exascale Machines and a Global, Sovereign, Advanced Computing Platform

Mario Kovač, Philippe Notton, Daniel Hofman, Josip Knezović
2020 Mathematical and Computational Applications  
One of EPI's core activities also takes place in the automotive sector, providing architectural solutions for a novel embedded high-performance computing (eHPC) platform and ensuring the overall economic  ...  In this paper, we present an overview of the European Processor Initiative (EPI), one of the cornerstones of the EuroHPC Joint Undertaking, a new European Union strategic entity focused on pooling the  ...  The existing approach to HPC system design is no longer sustainable for the exascale era (exascale systems being defined as those capable of executing 10 18 calculations per second) in terms of both performance  ... 
doi:10.3390/mca25030046 fatcat:vsnp2imx4bf3pj3lgk2e7qoz3e

Perspectives on Anomaly and Event Detection in Exascale Systems

Gabriel Iuhasz, Dana Petcu
2019 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)  
The design and implementation of exascale system is nowadays an important challenge.  ...  In this paper we focus on an event and anomaly detection framework which is crucial in giving a global overview of a exascale system (which in turn is necessary for the successful implementation and exploitation  ...  However, in order for a system to truly be autonomous there is a need for tools that can provide a clear and comprehensive overview of the current state of the exascale system.  ... 
doi:10.1109/bigdatasecurity-hpsc-ids.2019.00051 fatcat:f6pef5g6szdbjn473x4tkojuje

CHALLENGES OF USING THE FUZZY APPROACH IN EXASCALE COMPUTING SYSTEMS

Nigar Ismayilova, Azerbaijan State Oil and Industry University
2021 Azerbaijan Journal of High Performance Computing  
In this paper were studied opportunities of using fuzzy sets theory for constructing an appropriate load balancing model in Exascale distributed systems.  ...  As the fuzzy logic-based solutions allow the management of uncertain environments, there are several approaches and useful challenges for the development of load balancing models in Exascale computing  ...  Hybrid Architecture for Autonomous Load Balancing in Distributed Systems based on Smooth Fuzzy Function.  ... 
doi:10.32010/26166127.2021.4.2.198.205 fatcat:acogdpeulvhajkofnlpixohmzi

An analysis of the feasibility of energy harvesting with thermoelectric generators on petascale and exascale systems

Issam Rais, Laurent Lefevre, Anne-Cecile Orgerie, Anne Benoit
2016 2016 International Conference on High Performance Computing & Simulation (HPCS)  
Energy is a critical point for future supercomputing trends that currently try to achieve exascale, without having its energy consumption reaching an important fraction of a nuclear power plant.  ...  With the available technology, we demonstrate that the use of TEGs in a supercomputer environment could be realistic and quickly profitable, and hence have a positive environmental impact.  ...  This is especially true for supercomputers reaching petascale performance and aiming for exascale.  ... 
doi:10.1109/hpcsim.2016.7568417 dblp:conf/ieeehpcs/RaisLOB16 fatcat:xcqvcwxzh5ehbb4va3dozrvwh4

The International Exascale Software Project roadmap

Jack Dongarra, Pete Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara Chapman (+53 others)
2011 The international journal of high performance computing applications  
Over the last twenty years, the open source community has provided more and more software on which the world's High Performance Computing (HPC) systems depend for performance and productivity.  ...  as well as coordinated R&D programs for new exascale software technologies. 5.  ...  Clearly all science areas and engineering areas that contain potential CDVs need something in all the software areas, but for the purposes of this exercise we tried to sort out areas of emphasis for each  ... 
doi:10.1177/1094342010391989 fatcat:twdszcjfxraijpsdcdacvpp6vm

Reference Exascale Architecture (Extended Version)

Martin Bobák, Ladislav Hluchý, Ondrej Habala, Viet Tran, Reginald Cushing, Onno Valkering, Adam Belloum, Mara Graziani, Henning Müller
2020 Computing and informatics  
The PROCESS architecture has been used as an exascale platform within various exascale pilot applications. This paper also presents performance modelling of exascale platform with its validation 1 .  ...  The paper also presents an instantiation of the reference architecture -the architecture of the PROCESS project (PROviding Computing solutions for ExaScale ChallengeS) and discusses its relation to the  ...  programme under grant agreement No. 777533 and by the project APVV-17-0619 (U-COMP) "Urgent Computing for Exascale Data" and by the VEGA project "New Methods and Approaches for Distributed Scalable Computing  ... 
doi:10.31577/cai_2020_4_644 fatcat:zd5mo3zunzgtbpf4saer32uko4

The DEEP Project An alternative approach to heterogeneous cluster-computing in the many-core era

Norbert Eicker, Thomas Lippert, Thomas Moschny, Estela Suarez
2015 Concurrency and Computation  
The DEEP (Dynamical Exascale Entry Platform) project is implementing a novel architecture for High-Performance Computing, in which a standard HPC Cluster is directly connected to a so-called "Booster":  ...  This paper presents the DEEP project with an emphasis on the DEEP programming environment.  ...  Nüssle from University of Heidelberg for helpful discussion on EXTOLL and V. Beltran of Barcelona Supercomputing Centre for valuable input on OmpSs.  ... 
doi:10.1002/cpe.3562 fatcat:3xeoqn7xtzekzkmk36dhpblci4

Resilience in Exascale Computing (Dagstuhl Seminar 14402)

Hermann Härtig, Satoshi Matsuoka, Frank Mueller, Alexander Reinefeld, Marc Herbstritt
2015 Dagstuhl Reports  
From September 28 to October 1, 2014, the Dagstuhl Seminar 14402 "Resilience in Exascale Computing" was held in Schloss Dagstuhl -Leibniz Center for Informatics.  ...  However, we often tend to forget that, unlike embedded, autonomous systems, for scientific computing there are always humans in the loop validating the results.  ...  an API for arbitrary resilience mechanisms, and (c) organization of follow-on meetings for the community.  ... 
doi:10.4230/dagrep.4.9.124 dblp:journals/dagstuhl-reports/HartigMMR14 fatcat:wwcmeeizubdxvahq4sw54vgtwy

AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing

Tanmoy Bhattacharya, Thomas Brettin, James H. Doroshow, Yvonne A. Evrard, Emily J. Greenspan, Amy L. Gryshuk, Thuc T. Hoang, Carolyn B. Vea Lauzon, Dwight Nissley, Lynne Penberthy, Eric Stahlberg, Rick Stevens (+4 others)
2019 Frontiers in Oncology  
cancer research capable of scaling on next generation high performance computers; and (3) assessing robustness and reliability in the AI models.  ...  options, predict outcomes, and eventually prescribe specialized treatments for patients with cancer.  ...  Mechanistically informed feature selection is an alternative approach that has the potential to increase predictive model performance.  ... 
doi:10.3389/fonc.2019.00984 pmid:31632915 pmcid:PMC6783509 fatcat:7n67izqty5gz7icvxmqrbwmora

Extreme-Scale Computing–Where 'Just More of the Same' Does Not Work

Adolfy Hoisie, Vladimir Getov
2009 Computer  
His research interests include parallel architectures and performance, autonomous distributed computing, and high-performance programming environments.  ...  emerging hardware emulation environments for performance evaluation.  ... 
doi:10.1109/mc.2009.354 fatcat:ggfnieav2fczvko6vqxt2kzmky

ETP4HPC's Strategic Research Agenda for High-Performance Computing in Europe 4 [article]

Michael Malms, Marcin Ostasz, Maike Gilliot, Pascale Bernier-Bruna, Laurent Cargemel, Estela Suarez, Herbert Cornelius, Marc Duranton, Benny Koren, Pascale Rosse-Laurent, María S. Pérez-Hernández, Manolis Marazakis (+11 others)
2020 Zenodo  
This Strategic Research Agenda (SRA) is the fourth High Performance Computing (HPC) technology roadmap developed and maintained by ETP4HPC, with the support of the EXDCI-2 project.  ...  The main objective of this SRA is to identify the European technology research priorities in the area of HPC and High-Performance Data Analytics (HPDA), which should be used by EuroHPC to build its 2021  ...  For industry, this to protect against a wide range of possible environmental fai- is an extremely important part in order to be able to cost-effec- lures.  ... 
doi:10.5281/zenodo.4605343 fatcat:lcsgbea5dzgdfmj5dkw6pr7vni
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