Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)

FTXS is broadly interested in research on characterizing and mitigating the impart of faults on HPC systems. We are particularly interested in papers that address issues related to the following developments in extreme-scale systems:

Storage Devices: The storage hierarchy on HPC systems continues to increase in depth and complexity. SSDs and NVMe add high-speed node-local (or rack-local) persistent storage that can be used to improve the performance of checkpoint/restart or otherwise facilitate application resilience. Continuing to efficiently exploit these devices remains critical for extreme-scale HPC systems. Moreover, the recent availability of Non-Volatile Memory Modules (NVMMs) has begun to blur the line between memory and storage. The implications of this blurring for fault tolerance on extreme-scale systems are still being explored.

System Heterogeneity: Modern HPC systems increasingly include GPUs, FPGAs, and other types of accelerators. New networking devices like Data Processing Units (DPUs) and SmartNICs are also starting to be deployed. However, there are many resilience and fault tolerance issues associated with these devices that still need to be resolved. Papers at prominent recent conferences (including SC20, ICS 2019, and IEEE Cluster 2018) demonstrate that understanding the fault tolerance implications of heterogeneous compute devices is an important and active area of research.

Computing Paradigms: Novel non-von Neumann computing paradigms, including quantum and neuromorphic computing, have attracted significant research interest. Recent publications demonstrate that understanding the fault tolerance implications of these computing paradigms is also an area of active research.

Machine Learning: Algorithms that rely on elements of machine learning are becoming more and more prevalent on HPC systems. Understanding how these algorithms react and respond to the frequency and variety of faults that occur on HPC systems is critical to ensuring that they continue to provide accurate and timely answers.

Additional topics of interest include, but are not limited to:

Algorithmic-Based Fault Tolerance (ABFT) techniques to address undetected (silent) errors

Silent data corruption (SDC) detection / correction techniques

Novel fault-tolerance techniques and implementations

Failure data analysis and field studies

Power, performance, resilience (PPR) assessments / tradeoffs

Emerging hardware and software technology for resilience

Advances in reliability monitoring, analysis, and control of highly complex systems

Failure prediction, error preemption, and recovery techniques

Fault-tolerant programming models

Models for software and hardware reliability

Metrics and standards for measuring, improving, and enforcing effective fault-tolerance

Scalable Byzantine fault-tolerance and security from single-fault and fail-silent violations

Atmospheric evaluations relevant to HPC systems (terrestrial neutrons, temperature, voltage, etc.)

Near-threshold-voltage implications and evaluations for reliability

Benchmarks and experimental environments including fault injection

Frameworks and APIs for fault-tolerance and fault management