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The MPI Forum's User Level Failure Mitigation proposal has introduced an operation, MPI Comm shrink, to synchronize the alive processes on the list of failed processes, so that applications can continue to execute even in the presence of failures by adopting algorithm-based fault tolerance techniques.

This MPI Comm shrink operation requires a failure detection and consensus algorithm.

Bib citations

This paper presents three novel failure detection and consensus algorithms using Gossiping. The proposed algorithms were implemented and tested using the Extreme-scale Simulator.

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The results show that in all algorithms the number of Gossip cycles to achieve global consensus scales logarithmically with system size.

The second algorithm also shows better scalability in terms of memory and network bandwidth usage and a perfect synchronization in achieving global consensus. The third approach is a three-phase distributed failure detection and consensus algorithm and provides consistency guarantees even in very large and extreme-scale systems while at the same time being memory and bandwidth efficient.

Bib citations

Projections based on the current generation of HPC systems and technology roadmaps suggest the prevalence of very high fault rates in future systems. The errors resulting from these faults will propagate and generate various kinds of failures, which may result in outcomes ranging from result corruptions to catastrophic application crashes.

Therefore, the resilience challenge for extreme-scale HPC systems requires management of various hardware and software technologies that are capable of handling a broad set of fault models at accelerated fault rates.

Also, due to practical limits on power consumption in HPC systems future systems are likely to embrace innovative architectures, increasing the levels of hardware and software complexities.

As a result, the techniques that seek to improve resilience must navigate the complex trade-off space between resilience and the overheads to power consumption and performance. While the HPC community has developed various resilience solutions, application-level techniques as well as system-based solutions, the solution space of HPC resilience techniques remains fragmented.

Additionally, few of the current approaches are portable to newer architectures and software environments that will be deployed on future systems. In this paper, we develop a structured approach to the management of HPC resilience using the concept of resilience-based design patterns.

A design pattern is a general repeatable solution to a commonly occurring problem. We identify the commonly occurring problems and solutions used to deal with faults, errors and failures in HPC systems. Each established solution is described in the form of a pattern that addresses concrete problems in the design of resilient systems.

The complete catalog of resilience design patterns provides designers with reusable design elements. We also define a framework that enhances a designer's understanding of the important constraints and opportunities for the design patterns to be implemented and deployed at various layers of the system stack.

This design framework may be used to establish mechanisms and interfaces to coordinate flexible fault management across hardware and software components. The framework also supports optimization of the cost-benefit trade-offs among performance, resilience, and power consumption.

The overall goal of this work is to enable a systematic methodology for the design and evaluation of resilience technologies in extreme-scale HPC systems that keep scientific applications running to a correct solution in a timely and cost-efficient manner despite frequent faults, errors, and failures of various types.

The Extreme-scale Simulator xSim is a simulation toolkit for investigating the performance of parallel applications at scale.

The xSim toolkit strives to limit simulation overheads in order to maintain performance and productivity criteria.

Christian Engelmann, Ph.D. » BibTeX Citations

This paper documents two improvements to xSim: These enhancements resulted in significant performance improvements. Additionally, the improvements were beneficial for reducing overheads in the highly accurate simulation mode of xSim, which is useful for resilience investigation studies for tracking intentional MPI process failures.

Wisniewski and Jacob A. Abraham and Sarita V. Chien and Paul Coteus and Nathan A. The charter of this workshop was to establish a common taxonomy about resilience across all the levels in a computing system, discuss existing knowledge on resilience across the various hardware and software layers of an exascale system, and build on those results, examining potential solutions from both a hardware and software perspective and focusing on a combined approach.

The workshop brought together participants with expertise in applications, system software, and hardware; they came from industry, government, and academia, and their interests ranged from theory to implementation. The combination allowed broad and comprehensive discussions and led to this document, which summarizes and builds on those discussions.

The presented Extreme-scale Simulator xSim permits running an HPC application in a controlled environment with millions of concurrent execution threads while observing its performance in a simulated extreme-scale HPC system using architectural models and virtual timing.

This work complements reactive with proactive FT at the process level. Through health monitoring, a subset of node failures can be anticipated when one's health deteriorates. A novel process-level live migration mechanism supports continued execution of applications during much of process migration.

This scheme is integrated into an MPI execution environment to transparently sustain health-inflicted node failures, which eradicates the need to restart and requeue MPI jobs. Experiments indicate that The work also provides a novel back migration approach to eliminate load imbalance or bottlenecks caused by migrated tasks.

Experiments indicate the larger the amount of outstanding execution, the higher the benefit due to back migration. Scott and Geoffroy R. One reason for this resurgence is that the simple workstation has grown in capability to rival that of anything available in the past.

However, industry is only concentrating on the benefits of using virtualization for server consolidation enterprise computing whereas our interest is in leveraging virtualization to advance high-performance computing HPC.Oct 21,  · @article{hukerikar17resilience, author = "Saurabh Hukerikar and Christian Engelmann", title = "Resilience Design Patterns: A Structured Approach to Resilience at.

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