8 citations · 28 across the 12 of their papers we have counts for
14 papers
The Anatomy of Silent Data Corruption: GPU Error Pattern Study and Modeling Guidance
Chung-Hsuan Tung, Yanxiang Huang, Nirmal Saxena +5
Silent data corruption (SDC) threatens the reliability of large-scale GPU clusters used for training large language models, yet its rarity and lack of explicit error signals make a…
LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training
Abhishek Tyagi, Saurabh Hukerikar, Nirmal Saxena +4
Large-scale LLM training is increasingly susceptible to hardware defects stemming from manufacturing escapes and silicon aging. These defects manifest as Silent Data Corruption (SD…
Optimal Checkpoint Interval with Availability as an Objective Function
Nirmal Raj Saxena, Saurabh Hukerikar, Mikolaj Blaz +1
We present a simplified derivation of the optimal checkpoint interval in Young_1974 [1]. The optimal checkpoint interval derivation in [1] is based on minimizing the total lost tim…
Pattern-based Modeling of Multiresilience Solutions for High-Performance Computing
Rizwan A. Ashraf, Saurabh Hukerikar, Christian Engelmann
Resiliency is the ability of large-scale high-performance computing (HPC) applications to gracefully handle errors, and recover from failures. In this paper, we propose a pattern-b…
Shrink or Substitute: Handling Process Failures in HPC Systems using In-situ Recovery
Rizwan A. Ashraf, Saurabh Hukerikar, Christian Engelmann
Efficient utilization of today's high-performance computing (HPC) systems with complex hardware and software components requires that the HPC applications are designed to tolerate…
A Pattern Language for High-Performance Computing Resilience
Saurabh Hukerikar, Christian Engelmann
High-performance computing systems (HPC) provide powerful capabilities for modeling, simulation, and data analytics for a broad class of computational problems. They enable extreme…
Pattern-based Modeling of High-Performance Computing Resilience
Saurabh Hukerikar, Christian Engelmann
With the growing scale and complexity of high-performance computing (HPC) systems, resilience solutions that ensure continuity of service despite frequent errors and component fail…
Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale
Saurabh Hukerikar, Christian Engelmann
Reliability is a serious concern for future extreme-scale high-performance computing (HPC) systems. While the HPC community has developed various resilience solutions, the solution…
Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale
Byung H. Park, Saurabh Hukerikar, Ryan Adamson +1
Today's high-performance computing (HPC) systems are heavily instrumented, generating logs containing information about abnormal events, such as critical conditions, faults, errors…
Resilience Design Patterns - A Structured Approach to Resilience at Extreme Scale (version 1.0)
Saurabh Hukerikar, Christian Engelmann
In this document, we develop a structured approach to the management of HPC resilience based on the concept of resilience-based design patterns. A design pattern is a general repea…
Language Support for Reliable Memory Regions
Saurabh Hukerikar, Christian Engelmann
The path to exascale computational capabilities in high-performance computing (HPC) systems is challenged by the inadequacy of present software technologies to adapt to the rapid e…
Havens: Explicit Reliable Memory Regions for HPC Applications
Saurabh Hukerikar, Christian Engelmann
Supporting error resilience in future exascale-class supercomputing systems is a critical challenge. Due to transistor scaling trends and increasing memory density, scientific simu…
RedThreads: An Interface for Application-level Fault Detection/Correction through Adaptive Redundant Multithreading
Saurabh Hukerikar, Keita Teranishi, Pedro C. Diniz +1
In the presence of accelerated fault rates, which are projected to be the norm on future exascale systems, it will become increasingly difficult for high-performance computing (HPC…
Rolex: Resilience-Oriented Language Extensions for Extreme-Scale Systems
Saurabh Hukerikar, Robert F. Lucas
Future exascale high-performance computing (HPC) systems will be constructed from VLSI devices that will be less reliable than those used today, and faults will become the norm, no…