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ORCIDSai Narasimhamurthy
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2020 – today
- 2024
[j5]Patrick Raaf
, André Brinkmann, Eric Borba, Hossein Asadi, Sai Narasimhamurthy, John Bent, Mohamad El-Batal, Reza Salkhordeh:
From SSDs Back to HDDs: Optimizing VDO to Support Inline Deduplication and Compression for HDDs as Primary Storage Media. ACM Trans. Storage 20(4): 24:1-24:28 (2024)- [c19]Daniel Medeiros, Eric B. Gregory, Philippe Couvée, James Nicholas Hawkes, Sebastien Gougeaud, Maike Gilliot, Olivier Bressand, Yoann Valeri, Julien Jaeger, Damien Chapon, Frédéric Bournaud, Loïc Strafella, Daniel Caviedes-Voullième, Ghazal Tashakor, Jolanta Zjupa, Max Holicki, Tom Ridley, Yannik Müller, Filipe Souza Mendes Guimarães, Wolfgang Frings, Jan-Oliver Mirus, Ilya Zhukov, Eric Rodrigues Borba, Nafiseh Moti, Reza Salkhordeh, Nadia Derbey, Salim Mimouni, Simon Derr, Buket Benek Gursoy, James A. Grogan, Radek Furmánek, Martin Golasowski, Katerina Slaninová, Jan Martinovic, Jan Faltýnek, Jenny Wong, Metin Cakircali, Tiago Quintino, Simon D. Smart, Olivier Iffrig, Sai Narasimhamurthy, Sonja Happ, Michael Rauh, Stephan Krempel, Mark Wiggins, Jirí Novácek, André Brinkmann, Stefano Markidis, Philippe Deniel:
IO-SEA: Storage I/O and Data Management for Exascale Architectures. CF (Companion) 2024 - 2023
- [j4]Edward Chuah, Arshad Jhumka, Sai Narasimhamurthy:
An empirical study of major page faults for failure diagnosis in cluster systems. J. Supercomput. 79(16): 18445-18479 (2023) - 2022
- [c18]Sai Narasimhamurthy, Glenn K. Lockwood:
EMOSS '22: Workshop on Emerging Open Storage Systems and Solutions for Data Intensive Computing. HPDC 2022: 292-293 - [c17]Steven Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Andrzej Herman, Ganesan Umanesan, Sai Narasimhamurthy, Stefano Markidis:
NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage. PDP 2022: 172-176 - [e1]Sai Narasimhamurthy, Glenn K. Lockwood:
EMOSS@HPDC 2022: Proceedings of the 2022 Workshop on Emerging Open Storage Systems and Solutions for Data Intensive Computing, Minneapolis, MN, USA, 1 July 2022. ACM 2022, ISBN 978-1-4503-9312-6 [contents]
2010 – 2019
- 2019
- [j3]Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Stefano Markidis, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Dirk Pleiter, Shaun De Witt:
SAGE: Percipient Storage for Exascale Data Centric Computing. Parallel Comput. 83: 22-33 (2019) - [c16]Sergio Rivas-Gomez, Alessandro Fanfarillo, Sébastien Valat, Christophe Laferriere, Philippe Couvée, Sai Narasimhamurthy, Stefano Markidis:
uMMAP-IO: User-Level Memory-Mapped I/O for HPC. HiPC 2019: 363-372 - [c15]Sergio Rivas-Gomez, Alessandro Fanfarillo, Sai Narasimhamurthy, Stefano Markidis:
Persistent coarrays: integrating MPI storage windows in coarray fortran. EuroMPI 2019: 3:1-3:8 - 2018
- [j2]Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis:
MPI windows on storage for HPC applications. Parallel Comput. 77: 38-56 (2018) - [c14]Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Shaun De Witt, Dirk Pleiter, Stefano Markidis:
The SAGE project: a storage centric approach for exascale computing: invited paper. CF 2018: 287-292 - [c13]Sergio Rivas-Gomez, Stefano Markidis, Erwin Laure, Keeran Brabazon, Oliver Perks, Sai Narasimhamurthy:
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. HPCC/SmartCity/DSS 2018: 921-927 - [c12]Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure:
Characterizing Deep-Learning I/O Workloads in TensorFlow. PDSW-DISCS@SC 2018: 54-63 - [c11]Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. ISC Workshops 2018: 117-130 - [i6]Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Stefano Markidis, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Dirk Pleiter, Shaun De Witt:
SAGE: Percipient Storage for Exascale Data Centric Computing. CoRR abs/1805.00556 (2018) - [i5]Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. CoRR abs/1807.02562 (2018) - [i4]Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Shaun De Witt, Dirk Pleiter, Stefano Markidis:
The SAGE Project: a Storage Centric Approach for Exascale Computing. CoRR abs/1807.03632 (2018) - [i3]Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure:
Characterizing Deep-Learning I/O Workloads in TensorFlow. CoRR abs/1810.03035 (2018) - [i2]Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis:
MPI Windows on Storage for HPC Applications. CoRR abs/1810.04110 (2018) - [i1]Sergio Rivas-Gomez, Sai Narasimhamurthy, Keeran Brabazon, Oliver Perks, Erwin Laure, Stefano Markidis:
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks. CoRR abs/1810.04146 (2018) - 2017
- [c10]Sai Narasimhamurthy:
On a Storage System Software Stack for Extreme Scale Data Centric Computing. ICPP Workshops 2017: 228-230 - [c9]Sergio Rivas-Gomez, Roberto Gioiosa, Ivy Bo Peng, Gokcen Kestor, Sai Narasimhamurthy, Erwin Laure, Stefano Markidis:
MPI windows on storage for HPC applications. EuroMPI/USA 2017: 15:1-15:11 - 2016
- [c8]Giuseppe Congiu, Sai Narasimhamurthy, Tim Süß, André Brinkmann:
Improving Collective I/O Performance Using Non-volatile Memory Devices. CLUSTER 2016: 120-129 - [c7]Edward Chuah, Arshad Jhumka, James C. Browne, Nentawe Gurumdimma, Sai Narasimhamurthy, Bill Barth:
Using Message Logs and Resource Use Data for Cluster Failure Diagnosis. HiPC 2016: 232-241 - 2015
- [c6]Weiping He, David H. C. Du, Sai B. Narasimhamurthy:
PIONEER: A Solution to Parallel I/O Workload Characterization and Generation. CCGRID 2015: 111-120 - [c5]Edward Chuah, Arshad Jhumka, James C. Browne, Bill Barth, Sai Narasimhamurthy:
Insights into the Diagnosis of System Failures from Cluster Message Logs. EDCC 2015: 225-232 - 2013
- [c4]Edward Chuah, Arshad Jhumka, Sai Narasimhamurthy, John L. Hammond, James C. Browne, Bill Barth:
Linking Resource Usage Anomalies with System Failures from Cluster Log Data. SRDS 2013: 111-120 - 2012
- [c3]Giuseppe Congiu, Matthias Grawinkel, Sai Narasimhamurthy, André Brinkmann:
One Phase Commit: A Low Overhead Atomic Commitment Protocol for Scalable Metadata Services. CLUSTER Workshops 2012: 16-24 - [p1]Sai Narasimhamurthy, Malcolm Muggeridge, Stefan Waldschmidt, Fabio Checconi, Tommaso Cucinotta:
Data Storage in Cloud Based Real-Time Environments. Achieving Real-Time in Distributed Computing 2012: 236-258
2000 – 2009
- 2006
- [c2]Sai B. Narasimhamurthy, Joseph Y. Hui:
Coding schemes for integrated transport and storage reliability. IPCCC 2006 - 2005
- [j1]Sai B. Narasimhamurthy, Prabhanjan C. Gurumohan, S. Sreenivasamurthy, Joseph Y. Hui:
Quanta data storage: an information processing and transportation architecture for storage area networks. IEEE J. Sel. Areas Commun. 23(10): 2032-2040 (2005) - 2004
- [c1]Prabhanjan C. Gurumohan, Sai B. Narasimhamurthy, Joseph Y. Hui:
Quanta Data Storage: A Cross Layer Architecture for the Storage Networks. MSST 2004: 215-221
Coauthor Index
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