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Related papers: Application-Level Resilience Modeling for HPC Faul…

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The central topic of this book is application-level fault-tolerance, that is the methods, architectures, and tools that allow to express a fault-tolerant system in the application software of our computers. Application-level fault-tolerance…

Software Engineering · Computer Science 2016-11-09 Vincenzo De Florio

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 space remains fragmented. There are no formal methods and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 Saurabh Hukerikar , Christian Engelmann

With the increasing size of HPC computations, faults are becoming more and more relevant in the HPC field. The MPI standard does not define the application behaviour after a fault, leaving the burden of fault management to the user, who…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-14 Roberto Rocco , Elisabetta Boella , Daniele Gregori , Gianluca Palermo

The structures for the expression of fault-tolerance provisions into the application software are the central topic of this paper. Structuring techniques answer the questions "How to incorporate fault-tolerance in the application layer of a…

Software Engineering · Computer Science 2015-04-14 Vincenzo De Florio , Chris Blondia

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 repeatable solution to a commonly occurring problem. We identify…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-30 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 performance of the order of quadrillion floating-point…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 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-based approach to constructing resilience solutions that…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-23 Rizwan A. Ashraf , Saurabh Hukerikar , Christian Engelmann

Soft error of exascale application is a challenge problem in modern HPC. In order to quantify an application's resilience and vulnerability, the application-level fault injection method is widely adopted by HPC users. However, it is not…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-06 Kai Wu , Qiang Guan , Nathan DeBardeleben , Dong Li

Understanding application resilience (or error tolerance) in the presence of hardware transient faults on data objects is critical to ensure computing integrity and enable efficient application-level fault tolerance mechanisms. However, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-16 Luanzheng Guo , Dong Li

With the growing scale and complexity of high-performance computing (HPC) systems, resilience solutions that ensure continuity of service despite frequent errors and component failures must be methodically designed to balance the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-10 Saurabh Hukerikar , Christian Engelmann

Microservice-based architectures enable different aspects of web applications to be created and updated independently, even after deployment. Associated technologies such as service mesh provide application-level fault resilience through…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-02 Fanfei Meng , Lalita Jagadeesan , Marina Thottan

Exceptions and errors occurring within mission critical applications due to hardware failures have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware failures will likely increase. Therefore, designing our…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-22 Nikunj Gupta , Jackson R. Mayo , Adrian S. Lemoine , Hartmut Kaiser

Extreme-scale scientific applications can be more vulnerable to soft errors (transient faults) as high-performance computing systems increase in scale. The common practice to evaluate the resilience to faults of an application is random…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-10 Luanzheng Guo , Dong Li , Ignacio Laguna

Safety-critical designs need to ensure reliable operations under hostile conditions with a certain degree of confidence. The continuously higher complexity of these designs makes them more susceptible to the risk of failure. ISO26262…

Software Engineering · Computer Science 2022-04-29 Endri Kaja , Nicolas Gerlin , Luis Rivas , Monideep Bora , Keerthikumara Devarajegowda , Wolfgang Ecker

As high-performance computing systems scale in size and computational power, the danger of silent errors, i.e., errors that can bypass hardware detection mechanisms and impact application state, grows dramatically. Consequently,…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-06 Luanzheng Guo , Dong Li , Ignacio Laguna , Martin Schulz

It is commonly agreed that highly parallel software on Exascale computers will suffer from many more runtime failures due to the decreasing trend in the mean time to failures (MTTF). Therefore, it is not surprising that a lot of research is…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-19 Faisal Shahzad , Moritz Kreutzer , Thomas Zeiser , Rui Machado , Andreas Pieper , Georg Hager , Gerhard Wellein

Fault tolerance overhead of high performance computing (HPC) applications is becoming critical to the efficient utilization of HPC systems at large scale. HPC applications typically tolerate fail-stop failures by checkpointing. Another…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-22 Erlin Yao , Mingyu Chen , Rui Wang , Wenli Zhang , Guangming Tan

The rise of transient faults in modern hardware requires system designers to consider errors occurring at runtime. Both hardware- and software-based error handling must be deployed to meet application reliability requirements. The level of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-23 Björn Bönninghoff , Horst Schirmeier

Due to the increasing size of HPC machines, the fault presence is becoming an eventuality that applications must face. Natively, MPI provides no support for the execution past the detection of a fault, and this is becoming more and more…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-22 Roberto Rocco , Davide Gadioli , Gianluca Palermo

The shift towards high-bandwidth networks driven by AI workloads in data centers and HPC clusters has unintentionally aggravated network latency, adversely affecting the performance of communication-intensive HPC applications. As…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-23 Siyuan Shen , Langwen Huang , Marcin Chrapek , Timo Schneider , Jai Dayal , Manisha Gajbe , Robert Wisniewski , Torsten Hoefler
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