Saurabh Hukerikar

Orcid: 0000-0002-2612-2001

According to our database1, Saurabh Hukerikar authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimizing Large-Scale Fault Injection Experiments through Martingale Hypothesis: A Systematic Approach for Reliability Assessment of Safety-Critical Systems.
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2022
Characterizing and Mitigating Soft Errors in GPU DRAM.
IEEE Micro, 2022

Runtime Fault Diagnostics for GPU Tensor Cores.
Proceedings of the IEEE International Test Conference, 2022

2020
PLEXUS: A Pattern-Oriented Runtime System Architecture for Resilient Extreme-Scale High-Performance Computing Systems.
Proceedings of the 25th IEEE Pacific Rim International Symposium on Dependable Computing, 2020

2019
Resiliency of automotive object detection networks on GPU architectures.
Proceedings of the IEEE International Test Conference, 2019

2018
RedThreads: An Interface for Application-Level Fault Detection/Correction Through Adaptive Redundant Multithreading.
Int. J. Parallel Program., 2018

Pattern-based Modeling of Multiresilience Solutions for High-Performance Computing.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Shrink or Substitute: Handling Process Failures in HPC Systems Using In-Situ Recovery.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

2017
Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale.
Supercomput. Front. Innov., 2017

Towards New Metrics for High-Performance Computing Resilience.
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2017

A Pattern Language for High-Performance Computing Resilience.
Proceedings of the 22nd European Conference on Pattern Languages of Programs, 2017

Pattern-Based Modeling of High-Performance Computing Resilience.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Rolex: resilience-oriented language extensions for extreme-scale systems.
J. Supercomput., 2016

Language Support for Reliable Memory Regions.
Proceedings of the Languages and Compilers for Parallel Computing, 2016

Havens: Explicit reliable memory regions for HPC applications.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2015
Enabling application resilience through programming model based fault amelioration.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

2014
An evaluation of lazy fault detection based on Adaptive Redundant Multithreading.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Opportunistic application-level fault detection through adaptive redundant multithreading.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

2013
Robust graph traversal: Resiliency techniques for data intensive supercomputing.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2013

A Case for Adaptive Redundancy for HPC Resilience.
Proceedings of the Euro-Par 2013: Parallel Processing Workshops, 2013

2012
Poster: Programming Model Extensions for Resilience in Extreme Scale Computing.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Programming Model Extensions for Resilience in Extreme Scale Computing.
Proceedings of the Euro-Par 2012: Parallel Processing Workshops, 2012

A programming model for resilience in extreme scale computing.
Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2012


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