Saurabh Hukerikar
Titolo
Citata da
Citata da
Anno
Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale
S Hukerikar, C Engelmann
Supercomputing Frontiers and Innovations 4 (3), 1-38, 2017
282017
Big data meets hpc log analytics: Scalable approach to understanding systems at extreme scale
BH Park, S Hukerikar, R Adamson, C Engelmann
2017 IEEE International Conference on Cluster Computing (CLUSTER), 758-765, 2017
242017
Opportunistic application-level fault detection through adaptive redundant multithreading
S Hukerikar, PC Diniz, RF Lucas, K Teranishi
2014 International Conference on High Performance Computing & Simulation …, 2014
222014
Shrink or substitute: Handling process failures in HPC systems using in-situ recovery
RA Ashraf, S Hukerikar, C Engelmann
2018 26th Euromicro International Conference on Parallel, Distributed and …, 2018
202018
Rolex: Resilience-oriented language extensions for extreme-scale systems
S Hukerikar, RF Lucas
The Journal of Supercomputing 72 (12), 4662-4695, 2016
162016
An evaluation of lazy fault detection based on adaptive redundant multithreading
S Hukerikar, K Teranishi, PC Diniz, RF Lucas
2014 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2014
162014
A programming model for resilience in extreme scale computing
S Hukerikar, PC Diniz, RF Lucas
IEEE/IFIP International Conference on Dependable Systems and Networks …, 2012
132012
Redthreads: An interface for application-level fault detection/correction through adaptive redundant multithreading
S Hukerikar, K Teranishi, PC Diniz, RF Lucas
International Journal of Parallel Programming, 1-27, 2016
122016
Resilience design patterns: A structured approach to resilience at extreme scale (version 1.2)
S Hukerikar, C Engelmann
Oak Ridge National Laboratory Technical Report, 2017
112017
Resilience Design Patterns - A Structured Approach to Resilience at Extreme Scale (version 1.0)
S Hukerikar, C Engelmann
https://ornlwiki.atlassian.net/wiki/download/attachments/72351753 …, 2016
112016
Resilience design patterns: A structured approach to resilience at extreme scale (version 1.1)
S Hukerikar, C Engelmann
Tech. Rep. ORNL/TM-2016/767, Oak Ridge National Laboratory, Oak Ridge, TN …, 0
11*
A pattern language for high-performance computing resilience
S Hukerikar, C Engelmann
Proceedings of the 22nd European Conference on Pattern Languages of Programs …, 2017
82017
A Case for Adaptive Redundancy for HPC Resilience
S Hukerikar, PC Diniz, RF Lucas
European Conference on Parallel Processing, 690-697, 2013
82013
Resiliency of automotive object detection networks on GPU architectures
A Lotfi, S Hukerikar, K Balasubramanian, P Racunas, N Saxena, ...
2019 IEEE International Test Conference (ITC), 1-9, 2019
62019
Programming model extensions for resilience in extreme scale computing
S Hukerikar, PC Diniz, RF Lucas
European Conference on Parallel Processing, 496-498, 2012
62012
Pattern-based Modeling of Multiresilience Solutions for High-Performance Computing
RA Ashraf, S Hukerikar, C Engelmann
Proceedings of the 2018 ACM/SPEC International Conference on Performance …, 2018
52018
Towards New Metrics for High-Performance Computing Resilience
S Hukerikar, RA Ashraf, C Engelmann
Proceedings of the 2017 Workshop on Fault-Tolerance for HPC at Extreme Scale …, 2017
52017
Robust graph traversal: Resiliency techniques for data intensive supercomputing
S Hukerikar, PC Diniz, RF Lucas
High Performance Extreme Computing Conference (HPEC), 2013 IEEE, 1-6, 2013
32013
Pattern-based Modeling of High-Performance Computing Resilience
S Hukerikar, C Engelmann
European Conference on Parallel Processing, 557-568, 2017
22017
Exploring Use-cases for Non-Volatile Memories in support of HPC Resilience
O Patil, S Hukerikar, F Mueller, C Engelmann
22017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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