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Percipient Storage for Exascale Data Centric Computing2

Deliverables

Sage2 ecosystem Design Document

This report (from multiple tasks) will describe the design for all the Sage2 ecosystem components. This will get its inputs from Tasks 3.1 to 3.4

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Publications

HPC systems in the next decade - what to expect, when, where

Author(s): Pleiter, Dirk
Published in: 24th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2019, Adelaide, Australia, 2019-11-04 - 2019-11-08, Issue 1, 2019
DOI: 10.5281/zenodo.3599755

Characterizing Deep-Learning I/O Workloads in TensorFlow

Author(s): Steven W. D. Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luis Santos, Pawel Herman, Sai Narasimhamurthy, Erwin Laure
Published in: 2018 IEEE/ACM 3rd International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS), 2018, Page(s) 54-63
DOI: 10.1109/PDSW-DISCS.2018.00011

Sage2 - Percipient StorAGe for Exascale Data Centric Computing

Author(s): Witt, Shaun de; Samaddar, Debby; Narasimhamurthy, Sai; Umanesan, Ganesan; Pleiter, Dirk; El Sayed Mohamed, Salem; Davis, Andrew
Published in: 24th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2019, Adelaide, Australia, 2019-11-04 - 2019-11-08, Issue 1, 2019

Persistent coarrays - integrating MPI storage windows in coarray fortran

Author(s): Sergio Rivas-Gomez, Alessandro Fanfarillo, Sai Narasimhamurthy, Stefano Markidis
Published in: Proceedings of the 26th European MPI Users' Group Meeting on - EuroMPI '19, 2019, Page(s) 1-8
DOI: 10.1145/3343211.3343214

uMMAP-IO: User-Level Memory-Mapped I/O for HPC

Author(s): Sergio Rivas-Gomez, Alessandro Fanfarillo, Sebastien Valat, Christophe Laferriere, Philippe Couvee, Sai Narasimhamurthy, Stefano Markidis
Published in: 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2019, Page(s) 363-372
DOI: 10.1109/hipc.2019.00051

Software Wear Management for Persistent Memories

Author(s): Vaibhav Gogte, University of Michigan; William Wang and Stephan Diestelhorst, ARM; Aasheesh Kolli, Pennsylvania State University and VMware Research; Peter M. Chen, Satish Narayanasamy, and Thomas F. Wenisch, University of Michigan
Published in: 17th USENIX Conference on File and Storage Technologies (FAST 19), 2019

Brief Announcement - Persistent Atomics for Implementing Durable Lock-Free Data Structures for Non-Volatile Memory

Author(s): William Wang, Stephan Diestelhorst
Published in: The 31st ACM on Symposium on Parallelism in Algorithms and Architectures - SPAA '19, 2019, Page(s) 309-311
DOI: 10.1145/3323165.3323166

Relaxed Persist Ordering Using Strand Persistency

Author(s): Vaibhav Gogte, William Wang, Stephan Diestelhorst, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch
Published in: ISCA '20: Proceedings of the 47th International Symposium on Computer Architecture, 2020

Predicting File Lifetimes with Machine Learning

Author(s): Thomas Leibovici, Florent Monjalet
Published in: ISC High Performance 2019 International Workshops, 2019

Language Support for Memory Persistency

Author(s): Aasheesh Kolli, Vaibhav Gogte, Ali Saidi, Stephan Diestelhorst, William Wang, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch
Published in: IEEE Micro, Issue 39/3, 2019, Page(s) 94-102, ISSN 0272-1732
DOI: 10.1109/mm.2019.2910821