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Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX)

Yury Oleynik, Michael Gerndt, Joseph Schuchart, Per Gunnar Kjeldsberg, Wolfgang E. Nagel
2015 2015 IEEE 18th International Conference on Computational Science and Engineering  
A promising potential to improve efficiency of HPC applications stems from the significant degree of dynamic behavior, e.g., run-time alternation in application resource requirements in HPC workloads.  ...  and performance.  ...  systems with the automatic static tuning from the area of HPC.  ... 
doi:10.1109/cse.2015.55 dblp:conf/cse/OleynikGSKN15 fatcat:bovu4aqq6jfh7lwsoloaiflwmm

READEX: Linking two ends of the computing continuum to improve energy-efficiency in dynamic applications

Per Gunnar Kjeldsberg, Andreas Gocht, Michael Gerndt, Lubomir Riha, Joseph Schuchart, Umbreen Sabir Mian
2017 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017  
Dynamic behaviour of HPC applications will be exploited to achieve improved energy-efficiency and performance.  ...  However, using an automatic optimization approach, application dynamism can be analysed at design time and used to optimize system configurations at runtime.  ...  systems with the automatic static tuning from the area of HPC.  ... 
doi:10.23919/date.2017.7926967 dblp:conf/date/KjeldsbergGGRSM17 fatcat:snuu4q6k3ffxzlgczwncsxerga

SEDAR: Soft Error Detection and Automatic Recovery in High Performance Computing Systems

Diego Montezanti
2020 Journal of Computer Science and Technology  
This is a great window of opportunity for HPC applications, but it also increases the risk that they will not complete their executions.  ...  Scientific applications and large-scale simulations are the most affected, making silent error handling the main challenge towards resilience in HPC.  ...  A methodology for soft errors detection and automatic recovery. In 2017 International Conference on High Performance Computing & Simulation (HPCS) (pp. 434-441). IEEE.  Montezanti, D.  ... 
doi:10.24215/16666038.20.e14 fatcat:7qzgl5wigzdurgdgmnsk6amzpy

ACIC

Mingliang Liu, Ye Jin, Jidong Zhai, Yan Zhai, Qianqian Shi, Xiaosong Ma, Wenguang Chen
2013 Proceedings of the 22nd international symposium on High-performance parallel and distributed computing  
The top ACIC-recommended configuration improves the applications' performance by a factor of up to 10.5 (3.0 on average), and cost saving of up to 89% (53% on average), compared with a commonly used baseline  ...  To tackle the highlighted I/O bottleneck problem in cloud, we propose ACIC, a system which automatically searches for optimized I/O system configurations from many candidates for each individual application  ...  Considering the number of model parameters and their value range, the training space is so huge that tuning both the benchmark input size and I/O system configurations to cover all kinds of HPC applications  ... 
doi:10.1145/2462902.2462923 fatcat:ki5n5ejy2zggpkl3lotimswqkm

ppOpen-HPC: Open Source Infrastructure for Development and Execution of Large-Scale Scientific Applications on Post-Peta-Scale Supercomputers with Automatic Tuning (AT) [chapter]

Kengo Nakajima, Masaki Satoh, Takashi Furumura, Hiroshi Okuda, Takeshi Iwashita, Hide Sakaguchi, Takahiro Katagiri, Masaharu Matsumoto, Satoshi Ohshima, Hideyuki Jitsumoto, Takashi Arakawa, Futoshi Mori (+3 others)
2015 Optimization in the Real World  
It is very difficult for scientists and engineers to develop efficient application codes, which make use of potential performance of these systems.  ...  Peak performance is O(10) PFLOPS, and number of cores is O(10 6 ).  ...  Automatic tuning (AT) technology enables automatic generation of optimized libraries and applications under various types of environments.  ... 
doi:10.1007/978-4-431-55420-2_2 fatcat:wle55ztoibgy3e3ggotfqqxnwa

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
While the HPC community is working towards the development of the first Exaflop computer (expected around 2020), after reaching the Petaflop milestone in 2008 still only few HPC applications are able to  ...  We identify challenges that need to be addressed and recommend solutions in key areas of interest, including formal modeling, static analysis and optimization, runtime analysis and optimization, and autonomic  ...  Therein, both performance analysis and tuning are performed automatically during a single run of the application.  ... 
arXiv:1503.06974v2 fatcat:ehins3rgmred5itigap3xohooy

Bridging Performance Analysis Tools and Analytic Performance Modeling for HPC [chapter]

Torsten Hoefler
2011 Lecture Notes in Computer Science  
Application performance is critical in high-performance computing (HPC), however, it is not considered in a systematic way in the HPC software development process.  ...  We find that existing analysis tools could be extended to support analytic performance modeling and performance models could be used to improve the understanding of real application performance artifacts  ...  Acknowledgments The author thanks William Gropp, Bill Kramer, and Marc Snir for many helpful discussions and ideas regarding concepts of analytic modeling.  ... 
doi:10.1007/978-3-642-21878-1_60 fatcat:avyimxply5fefh4bhmio32gpj4

ACIC

Mingliang Liu, Ye Jin, Jidong Zhai, Yan Zhai, Qianqian Shi, Xiaosong Ma, Wenguang Chen
2013 Proceedings of the 22nd international symposium on High-performance parallel and distributed computing - HPDC '13  
The top ACIC-recommended configuration improves the applications' performance by a factor of up to 10.5 (3.0 on average), and cost saving of up to 89% (53% on average), compared with a commonly used baseline  ...  To tackle the highlighted I/O bottleneck problem in cloud, we propose ACIC, a system which automatically searches for optimized I/O system configurations from many candidates for each individual application  ...  Considering the number of model parameters and their value range, the training space is so huge that tuning both the benchmark input size and I/O system configurations to cover all kinds of HPC applications  ... 
doi:10.1145/2493123.2462923 fatcat:hvx4sdnqrrek7gyu75wezomiua

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  
While the HPC community is working towards the development of the first Exaflop computer (expected around 2020), after reaching the Petaflop milestone in 2008 still only few HPC applications are able to  ...  We identify challenges that need to be addressed and recommend solutions in key areas of interest, including formal modeling, static analysis and optimization, runtime analysis and optimization, and autonomic  ...  Therein, both performance analysis and tuning are performed automatically during a single run of the application.  ... 
doi:10.1109/nbis.2015.61 dblp:conf/nbis/AbrahamBBGJKPS15 fatcat:vrptx6acgzgblogcmezc5aqrsi

Building an AI-Powered Assistant for Computational Scientists [article]

Swathi Vallabhajosyula, Bryan Carstens, Jian Chen, Rajiv Ramnath, Matthew Wolf
2022 Zenodo  
The availability of high-performance computing (HPC) cyberinfrastructures (CI) like Ohio Supercomputer (OSC)[1] or Titan[2] enables scientists to perform computationally intensive experiments (reaching  ...  We also describe and show the use of an automatable pipeline for generating the necessary training data and building the model.  ...  Introduction The availability of high-performance computing (HPC) cyberinfrastructures (CI) like Ohio Supercomputer (OSC) [1] or Titan [2] enables scientists to perform computationally intensive experiments  ... 
doi:10.5281/zenodo.6856744 fatcat:7orbypni3faznjz3lozf2fiphq

AAP4All: An Adaptive Auto Parallelization of Serial Code for HPC Systems

M. Usman Ashraf, Fathy Alburaei Eassa, Leon J. Osterweil, Aiiad Ahmad Albeshri, Abdullah Algarni, Iqra Ilyas
2021 Intelligent Automation and Soft Computing  
High Performance Computing (HPC) technologies are emphasizing to increase the system performance across many disciplines.  ...  A key advantage of proposed tool is an auto recognition of computer system architecture, then translate automatically the input serial C++ code into parallel programming code for that particular detected  ...  The frequent usage of HPC systems in these applications, demanding a tremendous increase in performance day by day.  ... 
doi:10.32604/iasc.2021.019044 fatcat:quu46dwokbf2fkq24jrtp7uo7i

HPC Cloud Pills: On-Demand Deployment and Execution of HPC Application in Cloud Environments

Pietro Ruiu, Olivier Terzo, Giuseppe Carlino, Rossella Prandi, Alberto Falzone, Paolo Maggi, Livia Torterolo, Enrico Usai, Gianpaolo Perego
2014 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing  
In this paper the general architecture of HPC CloudPills will be described and some tests performed on the system with SPRAY (an HPC application).  ...  High Performance Computing (HPC) is a valuable instrument in many areas of scientific research and industrial production.  ...  from Pill application, in automatic way.  ... 
doi:10.1109/3pgcic.2014.39 dblp:conf/3pgcic/RuiuTCPFMTUP14 fatcat:wgm7nar6sjgr7logcb33qohgh4

PROPER 2010: Third Workshop on Productivity and Performance – Tools for HPC Application Development [chapter]

Andreas Knüpfer, Jens Doleschal, Matthias Müller, Felix Wolf
2011 Lecture Notes in Computer Science  
Productivity is an important objective during the development phase of HPC applications and their later production phase.  ...  Stas Negara et.al. present the challenges of automatic transformation of MPI codes to adaptive MPI. Stefano Masini et.al. discuss the use of Python for HPC.  ...  Productivity is an important objective during the development phase of HPC applications and their later production phase.  ... 
doi:10.1007/978-3-642-21878-1_59 fatcat:x2l25rogl5hb7gs3srtmtf67ye

Editorial for the special issue on HPC algorithms and applications

Haohuan Fu, Wei Xue, Guangming Tan, Xiaowen Xu
2020 CCF Transactions on High Performance Computing  
Nan Ding et al. demonstrates an efficient tool to achieve automatic hardware counterbased performance modeling for parallel applications.  ...  The second part of the special issue, consisting of three research papers, focuses on the tool support for HPC applications.  ...  Peng Zheng et al. pre- an efficient tool to achieve automatic hardware counter- based performance modeling for parallel applications.  ... 
doi:10.1007/s42514-020-00036-7 fatcat:smnmpagdvnd3xonj34dojoijne

Characterizing Applications from Power Consumption: A Case Study for HPC Benchmarks [chapter]

Georges Da Costa, Jean-Marc Pierson
2011 Lecture Notes in Computer Science  
Without access to application source code, it can be quite difficult to have a precise vision of the type of application.  ...  By having good insight on application running on their infrastructure, providers can save up to 30% of their energy consumption while not impacting too much applications.  ...  NPB runs on this testbed were done with the help of Damien Borgetto.  ... 
doi:10.1007/978-3-642-23447-7_2 fatcat:sdcfmoks6bhblm7fesjpnno444
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