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检索条件"主题词=Parallel File System"

共 121 条记录，以下是101-110 订阅

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Catwalk-ROMIO: A Cost-Effective MPI-IO

Catwalk-ROMIO: A Cost-Effective MPI-IO

引用

17th IEEE International Conference on parallel and Distributed systems (ICPADS)

作者： Hori, Atsushi Yamamoto, Keiji Ishikawa, Yutaka RIKEN Adv Inst Fore Computat Sci Chuo Ku Kobe Hyogo 6500047 Japan

ISBN: (纸本)9780769545769

The nature of highly parallelized parallel file access which often consists of lots of fine grain, non-contiguous I/O requests, can degrade the I/O performance severely. To tackle this problem, a novel technique to maximize the bandwidth of the MPI-IO is proposed. This proposed technique is utilize a ring communication topology. This technique is implemented as an ADIO device of ROMIO, named Catwalk-ROMIO, and evaluated. The evaluation shows that Catwalk-ROMIO utilizing only one disk can exhibit comparable performance with parallel files systems, PVFS2 and Lustre, utilizing several file servers and disks. The evaluation also shows that Catwalk-ROMIO performance is almost independent from file access patterns, in contrast to the performance of parallel file systems performing only well with collective I/O. Catwalk-ROMIO only requires TCP/IP network for the ring communication topology and one file server which are common in HPC clusters without any additional cost. Thus, Catwalk-ROMIO is considered to be a very cost-effective MPI-IO implementation.

关键词： COTS MPI-IO parallel file system

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On-Demand file Staging system for Linux Clusters

On-Demand File Staging System for Linux Clusters

引用

IEEE International Conference on Cluster Computing (Cluster 2009)

作者： Hori, Atsushi Kamoshida, Yoshikazu Matsuba, Hiroya Ohta, Kazuki Yasui, Takashi Sumimoto, Shinji Ishikawa, Yutaka Univ Tokyo Ctr Informat Technol Bunkyo Ku 2-11-16 Yayoi Tokyo 1138658 Japan Univ Tokyo Grad Sch Informat Sci & Technol Bunkyo Ku Tokyo 1138654 Japan Hitachi Ltd Tokyo 1858601 Japan Fujitsu Labs Ltd Nakahara Ku Kawasaki Kanagawa 2118588 Japan

ISBN: (纸本)9781424450114

An on-demand file staging system, Catwalk, is proposed. Catwalk is designed so that it can run on any Linux clusters without any special or additional hardware. By having hook functions on the system calls of file operations, a file staging system can be transparent from the view of users, and users can be free from having wrong file staging scripts. In Catwalk, the file copying is done via normal TCP protocol so that Catwalk can run over ordinary, widely-used Ethernet. The stage-in file copy is pipelined to maximize the bandwidth from single file server. The performance of Catwalk is evaluated and compared with NFS using synthetic but realistic workloads. The evaluations show the stage-in performance with the pipeline technique is much better than the performance of NFS. The stage-out performance is comparable with the NFS performance despite the extra copying of files, and the file server is lightly loaded with the Catwalk stageout while NFS entails much heavier server loads. The biggest problems of NFS are its centralized design and lack of scheduling for the parallel workloads. The performance of Catwalk shows that remote file access performance can be improved much better if file accesses are scheduled in a proper way. Thus the proposed file staging system can be a strong complement to NFS, especially for small clusters often having no dedicated parallel file system.

关键词： file staging cluster file system network file system parallel file system

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Monitoring Sensor Measurement Anomalies of Streaming Environmental Data Using a Local Correlation Score

Monitoring Sensor Measurement Anomalies of Streaming Environ...

引用

4th International Conference on Computing for Geospatial Research and Application (COM.Geo)

作者： Taylor, Ian Sharp, Julia L. White, David L. Hallstrom, Jason O. Eidson, Gene von Oehsen, J. Barr Duffy, Edward B. Privette, Charles V., III Cook, Charles T. Sampath, Aravindh Radhakrishnan, Gyanas Clemson Univ Clemson SC 29631 USA

ISBN: (纸本)9780769550121

Real-time quality control (QC) of streaming natural resource data is needed to support the delivery of high quality data to system users. QC processes need to enable the identification of aberrations, as well as trends that may indicate degradation or component failures. These QC processes form a framework to support the goal of verified data delivered in a timely manner. In this paper, we investigate a method of computing Local Correlation Score (LCS) to detect anomalous patterns among sensor platforms in a concurrent manner. We use the R programming language and OpenMPI. Using empirical tests, we determine the benefits of computing the LCS in parallel, and on various sizes of clusters. We also analyze its use for realtime mapping of Intelligent River data. Our results show that the LCS computed concurrently is an effective means for prompt quality assurance of natural resource data.

关键词： real-time data Local Correlation Score quality control R OpenMPI parallel file system clusters

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Analyzing the parallel I/O Severity of MPI Applications 17

Analyzing the Parallel I/O Severity of MPI Applications

引用

17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

作者： Mendez, Sandra Rexachs, Dolores Luque, Emilio Leibniz Supercomp Ctr LRZ High Performance Syst Div Garching Germany Univ Autonoma Barcelona Comp Architecture & Operating Syst Dept Barcelona Spain

ISBN: (纸本)9781509066117

Performance evaluation of parallel applications plays an important role in High Performance Computing (HPC). This is also applied to parallel I/O performance evaluation, which requires understanding the I/O pattern of the application and having knowledge about the performance capacity of the HPC I/O system. In this paper, we present a methodology to evaluate the I/O performance of parallel applications based on the I/O severity degree. We define the I/O severity concept taking into account the I/O requirements of a parallel application, the mapping of I/O processes and the configuration of the I/O subsystem. Requirements are expressed in units denominated I/O phases, which are defined using the temporal and spatial pattern of different files of the application. Our approach is applied to the I/O kernels of scientific applications such as S3DIO, FLASH-IO and BT-IO on the SuperMUC supercomputer. Experimental results show that our methodology allows us to identify if a parallel application is limited by the I/O subsystem and identifying possible root causes of the I/O problems.

关键词： HPC systems parallel I/O parallel file system I/O Severity I/O system

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Towards End-to-End Compression in Lustre 23

Towards End-to-End Compression in Lustre

引用

23rd International Symposium on parallel and Distributed Computing (ISPDC)

作者： Fuchs, Anna Squar, Jannek Kuhn, Michael Univ Hamburg Hamburg Germany Otto von Guericke Univ Magdeburg Germany

ISBN: (纸本)9798350369205;9798350369199

Scientific applications generate massive amounts of data, posing storage limitations and network traffic challenges. While scientists struggle with the usage of application-side compression and parallel I/O, we design a transparent feature. Our Lustre-based prototype automatically applies lossless compression, offering flexibility in compression-related decisions to minimize computational costs and optimize application performance. We outline the challenges posed by our prototype and illustrate through a comprehensive assessment how integrating Lustre and ZFS as backend solutions provides the essential elements for performance and scalability: specifically, asynchronous operations and parallel processing of compression. In our evaluation, we illustrate the interaction of different buffer levels within a distributed system. Additionally, we showcase how the I/O pattern, hardware setup, and various system software optimizations can impact overall performance and influence the choice of compression strategy.

关键词： Compression Lustre parallel file system Access Patterns I/O

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I/O-Aware Flushing for HPC Caching filesystem 25

I/O-Aware Flushing for HPC Caching Filesystem

引用

25th IEEE International Conference on Cluster Computing (CLUSTER)

作者： Tatebe, Osamu Hiraga, Kohei Ohtsuji, Hiroki Univ Tsukuba Tsukuba Ibaraki Japan Fujitsu Ltd Kawasaki Kanagawa Japan

ISBN: (纸本)9798350370621

The increasing difference in performance between computing and storage has caused significant problems for HPC systems. To reduce the difference in performance, intermediate storage layers have been introduced;however, the flushing strategy is a significant issue in these layers. Dirty data must be flushed to efficiently utilize the intermediate storage layers although this may degrade I/O performance and cause instability because data access and flushing interfere with each other. In this study, an I/O-aware mechanism that does not interfere with I/O activity is proposed for data flushing, using HPC-specific workloads. Evaluations based on HPC application benchmarks in MPI-IO and NetCDF demonstrated the performance advantages of the proposed I/O-aware flushing, with the I/O performance of the intermediate storage layers displaying minimum degradation and remaining stable during flushing.

关键词： caching file system I/O-aware flushing intermediate storage layers burst buffer parallel file system

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Discovering Structure in Unstructured I/O

Discovering Structure in Unstructured I/O

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

作者： He, Jun Bent, John Torres, Aaron Grider, Gary Gibson, Garth Maltzahn, Carlos Sun, Xian-He

ISBN: (纸本)9780769549569;9781467362184

Checkpointing is the predominant storage driver in today's petascale supercomputers and is expected to remain as such in tomorrow's exascale supercomputers. Users typically prefer to checkpoint into a shared file yet parallel file systems often perform poorly for shared file writing. A powerful technique to address this problem is to transparently transform shared file writing into many exclusively written as is done in ADIOS and PLFS. Unfortunately, the metadata to reconstruct the fragments into the original file grows with the number of writers. As such, the current approach cannot scale to exaflop supercomputers due to the large overhead of creating and reassembling the metadata. In this paper, we develop and evaluate algorithms by which patterns in the PLFS metadata can be discovered and then used to replace the current metadata. Our evaluation shows that these patterns reduce the size of the metadata by several orders of magnitude, increase the performance of writes by up to 40 percent, and the performance of reads by up to 480 percent. This contribution therefore can allow current checkpointing models to survive the transition from peta- to exascale.

关键词： I/O PLFS metadata parallel file system pattern structure

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AdapCK: Optimizing I/O for Checkpointing on Large-Scale High Performance Computing systems 30th

AdapCK: Optimizing I/O for Checkpointing on Large-Scale High...

引用

30th European Conference on parallel and Distributed Processing (Euro-Par)

作者： Jia, Jie Liu, Yi Liu, Yanke Chen, Yifan Lin, Fang Beihang Univ Sino German Joint Software Inst Beijing 100191 Peoples R China

ISBN: (纸本)9783031695827;9783031695834

With the scaling-up of high-performance computing (HPC) systems, the resilience has become an important challenge. As a widely used resilience technique for HPC systems, checkpointing saves checkpoints of the system during the execution of parallel programs, and in case of failure, recovers the execution of the program from the most recent checkpoint. However, large-scale parallel programs often produce thousands of processes, and result in large-volume simultaneous data-writings on each checkpoint, which impacts the storage as well as the parallel file systems of HPC. To tackle this problem, this paper proposes AdapCK, an I/O-optimization scheme for checkpointing on large-scale HPC systems. AdapCK consists of two main parts: a load-balancing mechanism used for balancing workloads across low-level storage volumes on checkpointing, and a throughput-aware checkpoint-data writing mechanism used for reducing I/O contentions and increasing utilization of I/O-bandwidth. Experiment results show that the AdapCK can reduce the checkpoint time by more than 30%, up to 54.5%.

关键词： Checkpoint Fault tolerance High-Performance Computing parallel file system DMTCP

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HPC Data Storage at a Glance: The Santos Dumont Experience 33

HPC Data Storage at a Glance: The Santos Dumont Experience

引用

33rd IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： Carneiro, Andre Ramos Bez, Jean Luca Osthoff, Carla Schnorr, Lucas Mello Navaux, Philippe O. A. Fed Univ Rio Grande do Sul UFRGS Inst Informat Porto Alegre RS Brazil Natl Lab Sci Comp LNCC Petropolis RJ Brazil

ISBN: (纸本)9781665443012

High-Performance Computing (HPC) platforms are used to solve the most diverse scientific problems in research areas, such as biology, chemistry, physics, and health sciences. Researchers use a multitude of scientific software, which have different requirements. These requirements include input and output operations, which directly impact performance due to the existing difference in processing and data access speeds. Thus, supercomputers must efficiently handle a mixed workload scenario when storing data from the applications. Knowledge of the application set and its performance running in a supercomputer is needed to understand the storage system's usage, pinpoint possible bottlenecks, and guide optimization techniques. This research proposes a methodology and visualization tool to evaluate a supercomputer's data storage infrastructure's performance, taking into account the diverse workload and demands of the system over a long period of operation. As a study case, we focus on the Santos Dumont supercomputer, where we were able to identify inefficient usage and problematic factors of performance.

关键词： Lustre parallel file system High-Performance Storage I/O Workload I/O Characterization Visualization

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Understanding and Predicting Cross-Application I/O Interference in HPC Storage systems

Understanding and Predicting Cross-Application I/O Interfere...

引用

2024 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Egersdoerfer, Chris Rashid, Md. Hasanur Dai, Dong Fang, Bo Nathan, Tallent University of Delaware Department of Computer and Information Sciences United States Pacific Northwest National Laboratory United States

ISBN: (纸本)9798350355543

On High Performance Computing (HPC) systems, where multiple concurrent workloads may read and write vast amounts of data stored through a shared network on storage servers, competition for I/O resources between workloads is inevitable. Previous work has thoroughly recognized the impact of such competition-introduced resource contention, highlighting its potential to impact the performance of individual applications significantly. However, no prior work on such an issue has investigated the quantitative impact of inter-application I/O contention on individual applications, impeding a more efficient resource provision strategy. In this work, we first exemplify the dynamics of I/O interference towards I/O patterns and system status. We then propose a framework for collecting fine-grained I/O traces from applications and concurrent server-side metrics and train a machine learning model to accurately predict the existence of I/O interference and its quantitative impacts. Our results show that it is feasible to learn the complex factors and relationships which cause applications to underperform in the presence of I/O interference. Additionally, we show that a trained model can accurately predict the impact of I/O interference on HPC applications with F1 scores exceeding 90% for both synthetic benchmarks and real-world applications. © 2024 IEEE.

关键词： HPC Storage Io Interference parallel file system

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