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Titel: Christian Engelmann, Ph.D.
Beschreibung: Engelmann, and S.
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Seite charset ist UTF-8.Insgesamt sind 1428Schlüsselwörter. Anzahl der Links 140, 39 von eingehenden Links und 101 der ausgehenden Links. Unsere Seite Analysator hat gezeigt, dass www.christian-engelmann.de ist wie folgt:

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Christian Engelmann, Ph.D.

https://www.christian-engelmann.info/

Home

https://www.christian-engelmann.info/

Solutions

https://www.christian-engelmann.info/?page_id=1800

xSim – The Extreme-scale Simulator

https://www.christian-engelmann.info/?page_id=1804

redMPI – A Redundant MPI

https://www.christian-engelmann.info/?page_id=1873

Proactive Fault Tolerance Framework

https://www.christian-engelmann.info/?page_id=1912

Hybrid Full/Incremental System-level Checkpointing

https://www.christian-engelmann.info/?page_id=1939

Symmetric Active/Active High Availability for HPC System Services

https://www.christian-engelmann.info/?page_id=1955

Current Research

https://www.christian-engelmann.info/?page_id=148

2021-…: An Open Federated Architecture for the Laboratory of the Future

https://www.christian-engelmann.info/?page_id=3858

2015-…: Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale

https://www.christian-engelmann.info/?page_id=2416

Past Research

https://www.christian-engelmann.info/?page_id=2481

2018-2019: rOpenMP: A Resilient Parallel Programming Model for Heterogeneous Systems

https://www.christian-engelmann.info/?page_id=3213

2015-2019: Catalog: Characterizing Faults, Errors, and Failures in Extreme-Scale Systems

https://www.christian-engelmann.info/?page_id=2470

2013-16: Hobbes – OS and Runtime Support for Application Composition

https://www.christian-engelmann.info/?page_id=2099

2013-16: MCREX – Monte Carlo Resilient Exascale Solvers

https://www.christian-engelmann.info/?page_id=2047

2012-14: Hardware/Software Resilience Co-Design Tools for Extreme-scale High-Performance Computing

https://www.christian-engelmann.info/?page_id=1443

2011-12: Extreme-scale Algorithms and Software Institute

https://www.christian-engelmann.info/?page_id=1024

2009-11: Soft-Error Resilience for Future-Generation High-Performance Computing Systems

https://www.christian-engelmann.info/?page_id=909

2008-11: Reliability, Availability, and Serviceability (RAS) for Petascale High-End Computing and Beyond

https://www.christian-engelmann.info/?page_id=914

2008-11: Scalable Algorithms for Petascale Systems with Multicore Architectures

https://www.christian-engelmann.info/?page_id=916

2006-09: Harness Workbench: Unified and Adaptive Access to Diverse HPC Platforms

https://www.christian-engelmann.info/?page_id=918

2006-08: Virtualized System Environments for Petascale Computing and Beyond

https://www.christian-engelmann.info/?page_id=922

2004-07: MOLAR – Modular Linux and Adaptive Runtime Support for High-End Computing

https://www.christian-engelmann.info/?page_id=924

2004-06: Reliability, Availability, and Serviceability (RAS) for Terascale Computing

https://www.christian-engelmann.info/?page_id=926

2002-04: Super-Scalable Algorithms for Next-Generation High-Performance Cellular Architectures

https://www.christian-engelmann.info/?page_id=928

2000-05: Harness – Heterogeneous Distributed Computing

https://www.christian-engelmann.info/?page_id=930

Teaching

https://www.christian-engelmann.info/?page_id=835

Publications

https://www.christian-engelmann.info/?page_id=15

Peer-reviewed Journal Papers

https://www.christian-engelmann.info/?page_id=99

Peer-reviewed Conference Papers

https://www.christian-engelmann.info/?page_id=109

Peer-reviewed Workshop Papers

https://www.christian-engelmann.info/?page_id=1125

Peer-reviewed Conference Posters

https://www.christian-engelmann.info/?page_id=116

White Papers

https://www.christian-engelmann.info/?page_id=97

Technical Reports

https://www.christian-engelmann.info/?page_id=118

Talks and Lectures

https://www.christian-engelmann.info/?page_id=122

Co-advised Theses

https://www.christian-engelmann.info/?page_id=124

Theses

https://www.christian-engelmann.info/?page_id=127

BibTeX Citations

https://www.christian-engelmann.info/?page_id=26

Activities

https://www.christian-engelmann.info/?page_id=288

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About Me

https://www.christian-engelmann.info/?p=1

Senior Scientist

https://csmd.ornl.gov/profile/christian-engelmann

Intelligent Systems and Facilities Group

https://csmd.ornl.gov/group/intelligent-systems-and-facilities

Oak Ridge National Laboratory (ORNL)

http://www.ornl.gov

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engelmann.pdf

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mailto:[email protected]

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mailto:[email protected]

[email protected]

mailto:[email protected]

https://www.xing.com/profile/Christian_Engelmann7

http://www.linkedin.com/in/christianengelmann

https://scholar.google.com/citations?user=99-rbwsAAAAJ

https://dblp.org/pid/71/4514

orcid.org/0000-0003-4365-6416

https://orcid.org/0000-0003-4365-6416

18037364000

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113

?page_id=1125

4,434

https://scholar.google.com/citations?user=99-rbwsAAAAJ

?page_id=99

https://scholar.google.com/citations?user=99-rbwsAAAAJ

?page_id=124

?page_id=109

http://www.oakland.edu/enp

?page_id=1125

171

?page_id=288#committees

?page_id=122

?page_id=116

?page_id=288#reviews

2015 US Department of Energy Early Career Research Award

https://science.osti.gov/early-career

… more

?page_id=3858

… more

?page_id=2416

New Approach to Fault Tolerance Means More Efficient High-Performance Computers

https://www.energy.gov/science/ascr/articles/new-approach-fault-tolerance-means-more-efficient-high-performance-computers

What’s New in HPC Research: GPU Lifetimes, the Square Kilometre Array, Support Tickets & More

https://www.hpcwire.com/2021/01/04/whats-new-in-hpc-research-gpu-lifetimes-the-square-kilometre-array-support-tickets-more

What’s New in HPC Research: Thrill for Big Data, Scaling Resilience and More

https://www.hpcwire.com/2018/11/19/whats-new-in-hpc-research-thrill-for-big-data-scaling-resilience-and-more

Characterizing Faults, Errors and Failures in Extreme-Scale Computing Systems

https://insidehpc.com/2018/08/characterizing-faults-errors-failures-extreme-scale-computing-systems/

Mounting a charge. Early-career awardees attack exascale computing on two fronts: Power and resilience

https://ascr-discovery.org/2015/07/mounting-a-charge

Tackling Power and Resilience at Exascale

http://www.hpcwire.com/2015/07/21/tackling-power-and-resilience-at-exascale

Supercomputers face growing resilience problems

https://www.computerworld.com/article/2493336/supercomputers-face-growing-resilience-problems.html

21st ACM International Conference on Supercomputing (ICS) 2007

http://ics07.ac.upc.edu

10.1145/1274971.1274978

http://dx.doi.org/10.1145/1274971.1274978

javascript:showAbstract("Large-scale parallel computing is relying increasingly on clusters with thousands of processors. At such large counts of compute nodes, faults are becoming common place. Current techniques to tolerate faults focus on reactive schemes to recover from faults and generally rely on a checkpoint/restart mechanism. Yet, in today`s systems, node failures can often be anticipated by detecting a deteriorating health status. Instead of a reactive scheme for fault tolerance (FT), we are promoting a proactive one where processes automatically migrate from unhealthy nodes to healthy ones. Our approach relies on operating system virtualization techniques exemplified by but not limited to Xen. This paper contributes an automatic and transparent mechanism for proactive FT for arbitrary MPI applications. It leverages virtualization techniques combined with health monitoring and load-based migration. We exploit Xen`s live migration mechanism for a guest operating system (OS) to migrate an MPI task from a health-deteriorating node to a healthy one without stopping the MPI task during most of the migration. Our proactive FT daemon orchestrates the tasks of health monitoring, load determination and initiation of guest OS migration. Experimental results demonstrate that live migration hides migration costs and limits the overhead to only a few seconds making it an attractive approach to realize FT in HPC systems. Overall, our enhancements make proactive FT a valuable asset for long-running MPI application that is complementary to reactive FT using full checkpoint/restart schemes since checkpoint frequencies can be reduced as fewer unanticipated failures are encountered. In the context of OS virtualization, we believe that this is the first comprehensive study of proactive fault tolerance where live migration is actually triggered by health monitoring.");

http://www.christian-engelmann.info/publications/nagarajan07proactive.pdf

http://www.christian-engelmann.info/publications/nagarajan07proactive.ppt.pdf

?page_id=26#nagarajan07proactive

International Journal of High Performance Computing Applications (IJHPCA)

http://hpc.sagepub.com

10.1177/1094342014522573

http://dx.doi.org/10.1177/1094342014522573

javascript:showAbstract("We present here a report produced by a workshop on Addressing failures in exascale computing' held in Park City, Utah, 4-11 August 2012. 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.");

http://www.christian-engelmann.info/publications/snir14addressing.pdf

?page_id=26#snir14addressing

25th IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2012

http://sc12.supercomputing.org

10.1109/SC.2012.49

http://dx.doi.org/10.1109/SC.2012.49

javascript:showAbstract("Faults have become the norm rather than the exception for high-end computing on clusters with 10s/100s of thousands of cores. Exacerbating this situation, some of these faults remain undetected, manifesting themselves as silent errors that corrupt memory while applications continue to operate and report incorrect results. This paper studies the potential for redundancy to both detect and correct soft errors in MPI message-passing applications. Our study investigates the challenges inherent to detecting soft errors within MPI application while providing transparent MPI redundancy. By assuming a model wherein corruption in application data manifests itself by producing differing MPI message data between replicas, we study the best suited protocols for detecting and correcting MPI data that is the result of corruption. To experimentally validate our proposed detection and correction protocols, we introduce RedMPI, an MPI library which resides in the MPI profiling layer. RedMPI is capable of both online detection and correction of soft errors that occur in MPI applications without requiring any modifications to the application source by utilizing either double or triple redundancy. Our results indicate that our most efficient consistency protocol can successfully protect applications experiencing even high rates of silent data corruption with runtime overheads between 0% and 30% as compared to unprotected applications without redundancy. Using our fault injector within RedMPI, we observe that even a single soft error can have profound effects on running applications, causing a cascading pattern of corruption in most cases causes that spreads to all other processes. RedMPI's protection has been shown to successfully mitigate the effects of soft errors while allowing applications to complete with correct results even in the face of errors.");

http://www.christian-engelmann.info/publications/fiala12detection2.pdf

http://www.christian-engelmann.info/publications/fiala12detection2.ppt.pdf

?page_id=26#fiala12detection2

21st IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2008

http://sc08.supercomputing.org

10.1145/1413370.1413414

http://dx.doi.org/10.1145/1413370.1413414

javascript:showAbstract("As the number of nodes in high-performance computing environments keeps increasing, faults are becoming common place. Reactive fault tolerance (FT) often does not scale due to massive I/O requirements and relies on manual job resubmission. 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 processes 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 1-6.5 seconds of prior warning are required to successfully trigger live process migration while similar operating system virtualization mechanisms require 13-24 seconds. This self-healing approach complements reactive FT by nearly cutting the number of checkpoints in half when 70% of the faults are handled proactively.");

http://www.christian-engelmann.info/publications/wang08proactive.pdf

http://www.christian-engelmann.info/publications/wang08proactive.ppt.pdf

?page_id=26#wang08proactive

32nd International Conference on Distributed Computing Systems (ICDCS) 2012

http://icdcs-2012.org/

10.1109/ICDCS.2012.56

http://dx.doi.org/10.1109/ICDCS.2012.56

javascript:showAbstract("Today's largest High Performance Computing (HPC) systems exceed one Petaflops (10^15 floating point operations per second) and exascale systems are projected within seven years. But reliability is becoming one of the major challenges faced by exascale computing. With billion-core parallelism, the mean time to failure is projected to be in the range of minutes or hours instead of days. Failures are becoming the norm rather than the exception during execution of HPC applications. Current fault tolerance techniques in HPC focus on reactive ways to mitigate faults, namely via checkpoint and restart (C/R). Apart from storage overheads, C/R-based fault recovery comes at an additional cost in terms of application performance because normal execution is disrupted when checkpoints are taken. Studies have shown that applications running at a large scale spend more than 50% of their total time saving checkpoints, restarting and redoing lost work. Redundancy is another fault tolerance technique, which employs redundant processes performing the same task. If a process fails, a replica of it can take over its execution. Thus, redundant copies can decrease the overall failure rate. The downside of redundancy is that extra resources are required and there is an additional overhead on communication and synchronization. This work contributes a model and analyzes the benefit of C/R in coordination with redundancy at different degrees to minimize the total wallclock time and resources utilization of HPC applications. We further conduct experiments with an implementation of redundancy within the MPI layer on a cluster. Our experimental results confirm the benefit of dual and triple redundancy - but not for partial redundancy - and show a close fit to the model. At 80,000 processes, dual redundancy requires twice the number of processing resources for an application but allows two jobs of 128 hours wallclock time to finish within the time of just one job without redundancy. For narrow ranges of processor counts, partial redundancy results in the lowest time. Once the count exceeds 770, 000, triple redundancy has the lowest overall cost. Thus, redundancy allows one to trade-off additional resource requirements against wallclock time, which provides a tuning knob for users to adapt to resource availabilities.");

http://www.christian-engelmann.info/publications/elliott12combining.pdf

http://www.christian-engelmann.info/publications/elliott12combining.ppt.pdf

?page_id=26#elliott12combining

27th European Conference on Parallel and Distributed Computing (Euro-Par) 2021 Workshops

http://2021.euro-par.org

14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids

http://www.csm.ornl.gov/srt/conferences/Resilience/2021

javascript:showAbstract("Resilience to faults, errors, and failures in extreme-scale HPC systems is a critical challenge. Resilience design patterns offer a new, structured hardware and software design approach for improving resilience. While prior work focused on developing performance, reliability, and availability models for resilience design patterns, this paper extends it by providing a Resilience Design Patterns Modeling (RDPM) tool which allows (1) exploring performance, reliability, and availability of each resilience design pattern, (2) offering customization of parameters to optimize performance, reliability, and availability, and (3) allowing investigation of trade-off models for combining multiple patterns for practical resilience solutions.");

?page_id=26#kumar21rdpm

Journal of Parallel and Distributed Computing (JPDC)

http://www.elsevier.com/locate/jpdc

10.1016/j.jpdc.2021.03.001

http://dx.doi.org/10.1016/j.jpdc.2021.03.001

javascript:showAbstract("Today's High Performance Computing (HPC) systems contain thousand of nodes which work together to provide performance in the order of peta ops. The performance of these systems depends on various components like processors, memory, and interconnect. Among all, interconnect plays a major role as it glues together all the hardware components in an HPC system. A slow interconnect can impact a scientific application running on multiple processes severely as they rely on fast network messages to communicate and synchronize frequently. Unfortunately, the HPC community lacks a study that explores different interconnect errors, congestion events and applications characteristics on a large-scale HPC system. In our previous work, we process and analyze interconnect data of the Titan supercomputer to develop a thorough understanding of interconnects faults, errors, and congestion events. In this work, we first show how congestion events can impact application performance. We then investigate application characteristics interaction with interconnect errors and network congestion to predict applications encountering congestion with more than 90% accuracy");

http://www.christian-engelmann.info/publications/kumar21study.pdf

?page_id=26#kumar21study

25th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) 2020

http://prdc.dependability.org/PRDC2020

10.1109/PRDC50213.2020.00014

http://dx.doi.org/10.1109/PRDC50213.2020.00014

javascript:showAbstract("For high-performance computing (HPC) system designers and users, meeting the myriad challenges of next-generation exascale supercomputing systems requires rethinking their approach to application and system software design. Among these challenges, providing resiliency and stability to the scientific applications in the presence of high fault rates requires new approaches to software architecture and design. As HPC systems become increasingly complex, they require intricate solutions for detection and mitigation for various modes of faults and errors that occur in these large-scale systems, as well as solutions for failure recovery. These resiliency solutions often interact with and affect other system properties, including application scalability, power and energy efficiency. Therefore, resilience solutions for HPC systems must be thoughtfully engineered and deployed. In previous work, we developed the concept of resilience design patterns, which consist of templated solutions based on well-established techniques for detection, mitigation and recovery. In this paper, we use these patterns as the foundation to propose new approaches to designing runtime systems for HPC systems. The instantiation of these patterns within a runtime system enables flexible and adaptable end-to-end resiliency solutions for HPC environments. The paper describes the architecture of the runtime system, named Plexus, and the strategies for dynamically composing and adapting pattern instances under runtime control. This runtime-based approach enables actively balancing the cost-benefit trade-off between performance overhead and protection coverage of the resilience solutions. Based on a prototype implementation of PLEXUS, we demonstrate the resiliency and performance gains achieved by the pattern-based runtime system for a parallel linear solver application.");

http://www.christian-engelmann.info/publications/hukerikar20plexus.pdf

?page_id=26#hukerikar20plexus

33rd IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2020

http://sc20.supercomputing.org

10.1109/SC41405.2020.00045

http://dx.doi.org/10.1109/SC41405.2020.00045

javascript:showAbstract("The Cray XK7 Titan was the top supercomputer system in the world for a very long time and remained critically important throughout its nearly seven year life. It was also a very interesting machine from a reliability viewpoint as most of its power came from 18,688 GPUs whose operation was forced to execute three very significant rework cycles, two on the GPU mechanical assembly and one on the GPU circuitboards. We write about the last rework cycle and a reliability analysis of over 100,000 operation years in the GPU lifetimes, which correspond to Titan's 6 year long productive period after an initial break-in period. Using time between failures analysis and statistical survival analysis techniques, we find that GPU reliability is dependent on heat dissipation to an extent that strongly correlates with detailed nuances of the system cooling architecture and job scheduling. In addition to describing some of the system history, the data collection, data cleaning, and our analysis of the data, we provide reliability recommendations for designing future state of the art supercomputing systems and their operation. We make the data and our analysis codes publicly available.");

http://www.christian-engelmann.info/publications/ostrouchov20gpu.pdf

http://www.christian-engelmann.info/publications/ostrouchov20gpu.ppt.pdf

?page_id=26#ostrouchov20gpu

33rd International Conference on High Performance Computing, Networking, Storage and Analysis (SC) Workshops 2020

http://sc20.supercomputing.org

10th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS) 2020

http://sites.google.com/site/ftxsworkshop/home/ftxs-2020

10.1109/FTXS51974.2020.00008

http://dx.doi.org/10.1109/FTXS51974.2020.00008

javascript:showAbstract("Resilience plays an important role in supercomputers by providing correct and efficient operation in case of faults, errors, and failures. Resilience design patterns offer blueprints for effectively applying resilience technologies. Prior work focused on developing initial efficiency and performance models for resilience design patterns. This paper extends it by (1) describing performance, reliability, and availability models for all structural resilience design patterns, (2) providing more detailed models that include flowcharts and state diagrams, and (3) introducing the Resilience Design Pattern Modeling (RDPM) tool that calculates and plots the performance, reliability, and availability metrics of individual patterns and pattern combinations.");

http://www.christian-engelmann.info/publications/kumar20models.pdf

?page_id=26#kumar20models

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