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Programming Environment for European Exascale Systems

With the successful completion of DEEP-EST and the prototype up and running at the Jülich Supercomputing Centre, DEEP Projects face a new challenge: How should programming environments be designed that can support future exascale systems with a broad variety of different workloads?

 

Enter DEEP-SEA (DEEP – Software for Exascale Architectures). DEEP-SEA startet on April 1, 2021 with a term of 3 years. The project will deliver the programming environment for future European exascale systems, adapting all levels of the software stack to support highly heterogeneous compute and memory configurations. It will also allow code optimisation across existing and future architectures and systems. The software stack includes low-level drivers, computation and communication libraries, resource management, and programming abstractions with associated runtime systems and tools.

 

Our web site is right now being updated.

 

DEEP-SEA 

 

 

DEEP-EST Early Access Programme Call for Proposals

The DEEP-EST Early Access Programme (EAP) Call for proposals for Type1 Access and Type2 Access has opened on 2 January 2020. The call for Type2 - Any Application Access closed on 28 February 2020. The call for Type1 – Selected Application Access closed on 15 September 2020. But computing time in the DEEP-EST prototype is still available to COVID-19 researchers through the Early Access Programme.

The Early Access Programme (EAP) within the EU-funded DEEP-EST project provides academic and industrial users with the opportunities to access and use the DEEP-EST prototype platform. Experienced HPC and data analytic/machine learning users are invited to port/benchmark applications and evaluate the DEEP-EST hardware and software architectures deployed on the DEEP-EST prototype platform through an application for Type1 – Selected Application Access or Type2 – Any Application Access. After the completion of each project a lightweight final report is required to provide feedback.

 

Introduction on DEEP-EST Prototype Platform

Hardware
DEEP-EST’s innovative Modular Supercomputer Architecture creates a unique HPC system by coupling various compute modules according to the building-block principle. Each module is tailored to the needs of a specific group of applications, and all modules together behave as a single machine. This is guaranteed by connecting them through a high-speed network and, most importantly, operating them with a uniform system software and programming environment. This is how one application can be distributed over several modules, running each part of its code on the best suited hardware.

 

Three modules are available on the DEEP-EST Prototype Platform for EAP access, including Cluster Module (CM), Data Analytics Module (DAM) and Extreme Scale Booster (ESB). Please check the DEEP-EST prototype user guide for the latest update for the available hardware.

* Note the DEEP-EST prototype user guide will be frequently updated.

 

Software and Module Environment
A number of compilers, libraries, and tools are installed on the DEEP-EST prototype platform. For further detailed information check the DEEP-EST prototype user guide.

* Note the DEEP-EST prototype user guide will be frequently updated.

 

DEEP-EST EAP Access

There are two types of EAP access that users can apply for.

 

Type1 – Selected Application Access

A number of applications have been ported to the DEEP-EST prototype platform within the DEEP-EST project:

* Please note the application list will be frequently updated. ** CM = Cluster Module; DAM = Data Analytics Module; ESB = Extreme Scale Booster

 

Organisations Scientific Areas Applications Installation on the DEEP-EST prototype Module(s)
CM ESB DAM
NMBU Neuroscience NEST X    
Arbor   X  
NCSA Molecular Dynamics GROMACS X X X
ASTRON Radio Astronomy Imager     X
CERN High Energy Physics CMS reconstruction   X X
UoI Data analytics in Earth Science NextDBSCAN X (CM+ESB) X (CM+ESB) X (CM+DAM)
KU Leuven Space Weather xPic X (CM+ESB)  X CM
(ESB)
 
GMM  X   X
DLMOS  X   X

Table1: Applications that qualify for Type 1- Selected Application Access proposals and modules they have been ported to on the DEEP-EST prototype.

 

Applicants interested in using the applications listed in Table1 qualify for Type1 – Selected Application Access. The call closed on 15 September 2020, but computing time in the DEEP-EST prototype will be still available for COVID-19 research. Please contact: access@deep-est.eu. 

 

Please note, despite various start dates for this access, the latest possible start date is 1 October 2020. All projects must be completed by 1 November 2020. Final reports should be completed using the provided final report template and should be submitted by 1 December 2020.

 

Call opening date January 2020
Call closing date Closing at 16:00 (CEST) on 15 September 2020 - still open for COVID-19 research!
Review period Within 2-3 weeks after proposal received
Decision acknowledgement Within 4 weeks after proposal received
Project start date Open, depending on the proposed start date, subject to the completion of legal documents; the latest possible start date is 1 October 2020.
Project end date 1 November 2020
Final report due 1 December 2020

 

Type2 – Any Application Access

Users for applications not included in Table1 qualify for Type2 – Any Application Access. It will provide experienced academic and industrial users the opportunity to port their own codes to the DEEP-EST prototype platform, evaluate the usability, user-friendlines, and explore different modular configurations for porting their codes to the novel hardware. The call closed on 28 February 2020, but computing time in the DEEP-EST prototype will be still available for COVID-19 research. Please contact: access@deep-est.eu.

 

All projects must be completed by 1 November 2020. Final reports should be completed using the provided final report template and are to be submitted by 1 December 2020.

 

Call opening date January 2020
Call closing date Closed on 28 February 2020 - still open for COVID-19 research!
Review period Within 2-3 weeks after closure of the call
Decision acknowledgement Within 4 weeks after closure of the call
Project start date March 2020, subject to completion of legal documents
Project end date 1 November 2020
Final report due 1 December 2020

Tutorials for EAP Users

Tutorials will be organised to provide assistance to EAP users to carry out their projects. The first online tutorial took place in March 2020 to introduce the DEEP-EST prototype platform and how to access and use the system. An additional tutorial was planned for June 2020, which will focus on application performance analysis and tuning for all projects.

Computing Resources

Computing resources will be awarded to each EAP project based on individual project’s requirement, subject to further discussion and approval. Please provide appropriate justification if large amounts of resources will be required.

 

Review Processes and Decision Acknowledgement

All received EAP proposals were reviewed by the DEEP-EST team under a lightweight review process. The review period was 2-3 weeks after the proposal was received (Type1) or closure of the call (Type2). Applicants were then be contacted for the decision acknowledgement. Applicants with successful proposals were provided with the legal documents to sign and further guidance on how to start the awarded access.

Final reports

All EAP projects must be completed by 1 November 2020. Every project needs to complete a lightweight final report. The final reports are expected to provide a summary on the technical work done, as well as feedback on the DEEP-EST prototype platform based on users’ experiences.

Please use the appropriate templates to complete the final reports:

  • Type1 – Selected Application Access final report template.
  • Type2 – Any Application Access final report template.

Final reports should be submitted to access@deep-est.eu no later than 1 December 2020.

Acknowledge DEEP-EST

DEEP-EST EAP users should acknowledge DEEP-EST in all publications that describe results obtained using DEEP-EST resources. EAP users shall use the following wording in such acknowledgement in all such papers and other publications:
“We acknowledge DEEP-EST for awarding us access to the DEEP-EST Prototype under the Early Access Programme. It is part of Horizon 2020 (H2020) funding framework under grant agreement no. H2020-FETHPC-754304 (DEEP-EST).”

Contact

If there are any questions or support needed regarding the DEEP-EST EAP, please contact our team by email: access@deep-est.eu.

Useful Links

DEEP-EST prototype user guide.

Every technological development in the DEEP projects is tested with the co-design applications.

We want to make knowledge accessible!


This section gives an overview on all keynotes, talks, posters and workshops related to the DEEP projects. And we strive to make the respective materials available and link them.  

 

Riedel, M.
High Performance Computing - Advanced Scientific Computing
Lecture for students at Forschungszentrum Jülich, 26.08.2019, Jülich, Germany
Slides
 

 

Riedel, M.
Neural Architecture Search with Reinforcement Learning
5th International Summer School on Big Data and Machine Learning, Technical University of Dresden, 23.08.2019, Dresden, Germany
Slides

 

Riedel, M. and Cavallaro, G.
Introduction to Deep Learning Models
Training course (Course no. 1142019 in the training programme 2019 of Forschungszentrum Jülich), 21. - 23.03.2019, Jülich, Germany
Material

 

Suarez, E.
Modular Supercomputing
Presentation at the Earth System Models Workshop, 06.02.2019, Jülich, Germany
Material

 

Riedel, M.
Parallel Machine Learning and Deep Learning driven by HPC
at fourth international summer school on Big Data and Machine Learning, 03.07.2018, in Leipzig, Germany, by ScaDS Dresden/Leipzig Competence Center for Scalable Data Services and Solutions and BBDC Berlin Big Data Center

 

Riedel, M.
Supercomputing and Big Data
Tutorial at NextGen@Helmholtz in Potsdam, Germany

 

 

Riedel, M.
Parallel Machine Learning and Deep Learning driven by HPC
Fourth international summer school on Big Data and Machine Learning in Leipzig, Germany, by ScaDS Dresden/Leipzig Competence Center for Scalable Data Services and Solutions and BBDC Berlin Big Data Center

 

 

Erlingsson, E.
Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images
Talk and short paper at IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-27 2018, Valencia, Spain

 

 

Cavallaro, G. and Erlingson, E.
High Performance and Cloud Computing for Remote Sensing Data
Tutorial at 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-27 2018, Valencia, Spain

 

 

Cavallaro, G.
The influence of sampling methods on pixel-wise hyperspectral image classificat ion with 3D convolutional
Talk and short paper at IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-27 2018, Valencia, Spain

 

 

Riedel, M.
Tutorial on machine learning and data analytics
International Supercomputing Conference (ISC) 2018 in Frankfurt, Germany
Slides

 

 

Khristenko, V.
"Physics Analysis with Apache Spark in the CERN Hadoop Service and DEEP-EST Environment"
Talk at CERN IT Technical Forum

 

 

Plesser, H. E.
NEST Hackathon, 26-29 June 2018, Ås, Norway

 

 

Plesser, H. E. and Kunkel, S.
NEST Conference 2018 (www.nest-initiative.org/conference) in collaboration with FZ Jülich (INM-6) and the NEST Initiative; NMBU, Ås, 25-26 June 2018

 

 

Neukirchen, H. and Riedel, M.
Training Course "Nordic High Performance Computing & Applications Workshop"
13-15 June 2018 at University of Iceland, Reykjavík
Material

 

 

Riedel, M. and Cavallaro, G.
Training course “Introduction to Deep Learning Models”, 6-7 June 2018 at JSC, Jülich, Germany
Material

 

 

Suarez, E.
Application performance on a Cluster-Booster system
Talk at Heterogeneity in Computing Workshop (HCW) at IPDPS 2018, Vancouver (Canada)

 

 

Riedel, M.
Modular Supercomputing Design supporting Machine Learning Applications
Talk and full paper at the 41st International
Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018), May 21-25, 2018, Opatija/Abbazia, Croatia

 

 

Erlingsson, E.
Enhancing Deep Learning towards Exascale with the DEEP-EST Modular Supercomputer Architecture
Poster and lightning talk at the 5th Exascale Applications and Software Conference (EASC 2018), 17-19 April, 2018, Edinburgh, Scotland

 

 

Erlingsson, E.
Scaling DBSCAN towards exascale computing for clustering of big data sets
European Geosciences Union (EGU) General Assembly 2018, April 8-13, 2018, Vienna, Austria

 

 

Giménez, J. and Mercadal, L.
Training course “Paraver tracing tools suite with hands-on exercises” at VI-HPS Tuning Workshop @LRZ, 23-27 April 2018 at LRZ, Garching, Germany

 

 

Riedel, M.
Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications
Invited Talk International Conference on Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing at University of Bonn, Germany

 

Plesser, H. E.
Introduction to Spiking Neural Network Simulation
Lecture at HBP Curriculum Workshop "Cognitive systems for non-specialists", 13-15 March 2018 at TU Munich, Germany

 

 

Riedel, M. and Cavallaro, G. and Erlingsson, E.
Training course "Parallel and Scalable Machine Learning“, 6-8 March 2018 at JSC, Jülich, Germany
Material

 

Plesser, H. E.
NEST Hackathon, 05-09 March 2018, Ås, Norway

 

Lippert, Th.

Talk at NIC Symposium 2018, 22-23 February 2018 at JSC, Jülich, Germany

 

Khristenko, V.
HEP Data Processing with Apache Spark
Presentation at the CERN Hadoop User Forum

 

Suarez, E.
The DEEP/-ER architecture: a modular approach to extreme-scale computing
Presentation at E-CAM Workshop, Barcelona, Spain

 

Suarez, E.
Modular Supercomputing: An overview of computing architecture evolution at JSC
Presentation at the 9th Bethe Center Workshop, October 2017, Bonn, Germany

 

Romein, J. 
Can FPGAs compete with GPUs?
Talk at GTC conference, March 2018, San Jose

 

Suarez, E.
DEEP & DEEP-ER: From Ideal to Production
Talk at the Intel Community Hub at ISC2017, June 19, 2017, Frankfurt, Germany

 

Lapenta, G.
Exactly energy conserving semi-implicit particle in cell formulation 
Peer-reviewed publicatin in 'Journal of Computational Physics' Volume 334, 1 April 2017, Pages 349–366

 

Suarez, E.
Modular Supercomputing: the DEEP approach to hardware heterogeneity
Keynote presentation at ISUM 2017, March 2, 2017, Guadalajara, Mexico

 

Amaya, J.
Global fully kinetic models of planetary magnetospheres with iPic3D 
Presentation at the AGU Fall Meeting, December 15, 2016, San Francisco, USA

 

Frings, W.
HPC-Tools JUBE, LLview and SIONlib at JSC 
Presentation at the JLESC Workshop, December 1, 2016, Kobe, Japan

 

Frings, W.
The DEEP-ER take on exascale I/O
Presentation at the Exascale I/O Workshop by NextGenIO project at SC16, November 18, 2016, Salt Lake City (UT), USA

 

Eicker, N.
Modular Supercomputing 
Presentation at the Intel Community Hub at SC16 conference, November 17, 2016, Salt Lake City (UT), USA

 

Schmidt, J.
Doctoral Showcase: Network Attached Memory 
Doctoral Showcase (presentation + poster) at the SC16 conference, November 14-18, 2016, Salt Lake City (UT), USA
The poster is accessible here

 

Eicker, N.
ParaStation MPI at MPICH: A High-Performance Open-Source MPI Implementation BoF 
Presentation at the SC16 conference, November 15, 2016, Salt Lake City (UT), USA

 

Schmidt, J.
Exploring Time and Energy for Complex Accesses to a Hybrid Memory Cube 
Paper presentation at the Memsys 2016 conference, October 03-06, 2016, Washington D.C., USA
The full paper is accessible here

 

Congiu, G.
Improving Collective I/O Performance Using NVM Devices 
Paper presentation at the IEEE Cluster 2016 conference, September 13-15, 2016, Teipei, Teiwan
The full paper is accessible here

 

Eicker, N.
Taming Heterogeneity in HPC
Keynote Presentation at SAI Computing Conference, July 13, 2016, London England

 

Eicker, N.
Hardware Prototyping in DEEP and DEEP-ER
Presentation at Workshop ‘Developing Next-Gen HPC Architectures’ at ISC’16, June 23, 2016, Frankfurt, Germany

 

Léger, R.
A feedback on approaching the DEEP-ER platform with a DGTD-based simulation software for Bioelectromagnetics applications
Presentation at Workshop ‘Form Follows Function’ at ISC’16, June 23, 2016, Frankfurt, Germany

 

Suarez, E.
The DEEP-ER Project
Presentation at the Intel Collaboration Hub (booth #930) at ISC’16, June 21, 2016, Frankfurt, Germany

 

Labarta, J.
The OmpSs Programming Model Vision
Presentation at BoF 11 ‘Programming Models for Exascale: Slow Transition or Complete Disruption’ at ISC’16, June 21, 2016, Frankfurt, Germany

 

Zacharov, I.
Aurora Tigon v4 with KNL, a system from research for research
Presentation at the Intel Collaboration Hub (booth #930) at ISC’16, June 20, 2016, Frankfurt, Germany

 

Schmidt, J.
Network Attached Memory
Presentation at the PhD Forum at ISC’16, June 20, 2016, Frankfurt, Germany

 

Suarez, E.
Technology Emerging from the DEEP and DEEP-ER Projects
Keynote Presentation at the EMiT Conference, June 2 - 3, 2016, Barcelona, Spain
Slides are available here

 

Suarez, E.
The DEEP and DEEP-ER Projects
Presentation at the EXDCI Workshp during European HPC Summit Week, May 10, 2016, Prague, Czech Republic
Slides are available here

 

Manzano, C.
BeeGFS in the DEEP-ER Project
Presentation at BeeGFS User Meeting, May 18 to 19, 2016, Kaiserslautern, Germany

 

Kautz, F.
BeeGFS User APIs
Presentation at BeeGFS User Meeting, May 18 to 19, 2016, Kaiserslautern, Germany

 

Amaya, J.
Towards exascale simulations of space plasmas using the DEEP-ER architecture  
Presentation at the EASC 2016 Conference, April 28, 2016, Stockholm, Sweden
Slides are available here

 

Amaya, J.
Innovative HPC Architectures for the Study of Planetary Plasma Environments 
Poster presentation at the EGU conference, April 17-22, 2016, Vienna, Austria

 

Clauss, C. & Moschny, Th.
Error handling in MPI Programs
Presentation (in German) at parallel 2016 conference, April 7, 2016, Heidelberg, Germany

 

Suarez, E.
Implementing a new computer architecture paradigm
Presentation at the HPC-Leap: School on HPC architectures and large-scale numerical computation, January 15, 2016, Jülich, Germany

 

Amaya, J.
First-principle modeling of planetary magnetospheres: Mecury and the Earth
Presentation at the AGU Fall Meeting, December 14, 2015, San Francisco, USA

 

Amaya, J.
Fully Kinetic 3D Simulations of the Interaction of the Solar Wind with Mercury
Presentation at the AGU Fall Meeting, December 14, 2015, San Francisco, USA

 

Schmidt, J.
openHMC - A configurable open-source Hybrid Memory Cube controller
Presentation at the International Conference on RECONFIGurable Computing and FPGAs, December 7, 2015, Cancun, Mexico

 

Beltran, V.
Task-based resiliency in OmpSs
Presentation at the JLESC workshop, December 12, 2015, Bonn, Germany

 

Eicker, N.
Taming Heterogeneity by Segregation – The DEEP and DEEP-ER take on Heterogeneous Cluster Architectures
Presentation at the LENS2015 International Workshop, Oct 29 - 30, Akihabara, Japan
Slides are available here

 

Attig, N. 
Impacts of Current Hardware and Software Developments on Simulation Sciences
Presentation held at , CSP 2015, 8 September 2015, Moscow, Russia

 

Eicker, N.
Taming Heterogeneity by Segregation – The DEEP View on Exascale
Presentation at the 596. WE-Heraeus Seminar “Science Applications for Exascale Computing - Exploring New Avenues towards Scalability and Fault-Tolerance”, Sept 7 – 9, Bad Honnef, Germany

 

Leger, R.
Assessing the DEEP-ER Cluster/Booster Architecture with a Finite-Element Type Solver for Bioelectromagnetics
Presentation at ParCo 2015, 1-4 Sept 2015, Edinburgh, UK

 

Leger, R.
Assessing the DEEP-ER Cluster/Booster Architecture with a Finite-Element Type Solver for Bioelectromagnetics
Proceedings of the ParCo Conference, September 2015, Edinburgh, Scotland
http://www.parco.org/proceedings.html

 

Beltran, V. 
Enabling Complex Applications on Heterogeneous Clusters with OmpSs MPI Offloading
Presentation held at the 13th US National Conference on Computational Mechanics, 30 July 2015, San Diego, US

 

Alvarez Mallon, D. 
DEEP and DEEP-ER: From A Concept to Application Reality
Presentation shown at the European Exascale Project Booth at ISC'14, 13 - 15 July 2015, Frankfurt, Germany

 

Suarez, E. 
Architecture Innovation with Xeon Phi
Presentation shown at the Intel Booth at ISC'14, 13 July 2015, Frankfurt, Germany

 

Amaya, J.
Fully kinetic simulations of the Solar-Wind-Magnetosphere-Interaction
Presentation held at the 12th International School/Symposium for Space Simulations (ISSS-12), 3-10 July 2015, Prague, Czech Republic

 

Alvarez Mallon, D.
DEEP & DEEP-ER: European Hardware and Software Innovations on the Way to Exascale
Presentation held at the Nesus Working Group Meeting, 2 July 2015, Leuven, Belgium

 

Suarez, E.
The DEEP-ER way towards exascale I/O and resilience
Presentation held at the NorduGrid 2015 Conference, 02 - 05 June 2015, Bern, Switzerland

 

Suarez, E.; Staffelbach, G.; Tchiboudjian, M.
DEEP & DEEP-ER: Innovative Exascale Architectures in the Light of User Requirements
Presentation held at the PRACEdays15 – European Exascale Projects Satellite Event “Enabling Exascale in Europe for Industry”, 26 May 2015, Dublin, Ireland
Innovative Exascale Architectures

 

Mohr, B.
Juelich on the Way to Exascale
Presentation held at the 2nd International HPC Forum, 20 May 2015,Tianjin, China

 

Narasimhamurthy, S.
Collective I/O for Exascale I/O Intensive Applications
Presentation held at the LUG 2014, 9 April 2014, Miami, Florida / USA

 

Eicker, N.
The European Supercomputer Projects DEEP & DEEP-ER
Presentation at SUMA: Supermassive Computations in Theor. Physics Workshop, 11-13 February 2015, Trento, Italy

 

Suarez, E.
The DEEP and DEEP-ER Project
Presentation at the Big Data & Extreme Scale Computing Conference (BDEC), 29-30 January 2015, Barcelona, Spain
DEEP/-ER Project

 

Eicker, N.
The DEEP and DEEP-ER Projects
Presentation at the European Exascale Projects BoF at ISC'14, 24 June 2014, Leipzip Germany

 

Leger, S.
A parallel Discontinuous Galerkin Time-Domain solver of Maxwell’s equations
Presentation held at the 4th Brazil –France Workshop on High Performance Computing and Scientific Data Management, 15 - 18 Sept. 2014, Gramado, Brasil

 

Suarez, E..
DEEP-ER - A Project Overview
Presentation at the CEA-JSC Workshop, 28-29 April 2014, Jülich, Germany

 

Jakobs, A.
DEEP-ER: Extended reach for Exascale. The Cluster-Booster-Architecture with extended resiliency features
Poster presented at the Exascale Applications & Software Conference EASC, 2-3 April 2014, Stockholm, Sweden

 

Suarez, E..
The DEEP and DEEP-ER Projects
Presentation at the European Exascale Projects Workshp, 18 March 2014, Edinburgh, UK

 

Eicker, N.
Global MPI and the DEEP Programming Model
Presentation at the European Exascale Projects Workshp, 18 March 2014, Edinburgh, UK

 

Labarta, J.
OmpSs in DEEP and DEEP-ER
Presentation at the European Exascale Projects Workshp, 18 March 2014, Edinburgh, UK

 

Mohr, B.
Scalasca in DEEP and DEEP-ER
Presentation at the European Exascale Projects Workshp, 18 March 2014, Edinburgh, UK

 

Hoppe, H.-Ch.; Suarez, E.
DEEP and DEEP-ER – Innovative Cluster Architectures for Intel® Xeon Phi(TM)
Presentation held at SC13, Intel booth, 18-21 November 2013, Denver, USA

 

Eicker, N.
DEEP and DEEP-ER: Innovative Cluster architecture for Intel Xeon Phi
Presentation held at SC13, Intel Theatre presentation at the Intel booth, 18 November 2013, Denver, USA

 

Eicker, N.
DEEP-ER: Extending the Reach of the Cluster-Booster-Architecture
Presentation held at the European Research & Innovation Conference 2013" (ERIC 2103), 23 October 2013, Nice, France

The system software developments with respect to the DEEP-ER I/O stack are a prime example of how the project’s co-design approach connects everything with everything. The I/O team for instance collaborated closely for instance with:

  • Collaboration with the architecture design team:
    • Evaluation of the NVMe devices

 

  • Integration of continuous benchmarking into the monitoring Collaboration with the resiliency team:
    • Request to add CRC checksum calculation during flush/prefetch to the BeeGFS cache API
    • Addition of functions to check status of asynchronous operations

 

  • Design and development of SCR extensions and buddy checkpointing in SIONlib
    • Collaboration with the application developers
    • Support for implementation of I/O layers in different applications
    • Documentation of the different I/O layers for the application developers

 

  • Collaboration the I/O, the resiliency and the application developers  
    • Modification of the JUBE-integrated application GERShWIN to support SCR