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检索条件"主题词=Parallel File System"

共 121 条记录，以下是81-90 订阅

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Using Balanced Data Placement to Address I/O Contention in Production Environments 28

Using Balanced Data Placement to Address I/O Contention in P...

引用

28th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： Neuwirth, Sarah Wang, Feiyi Oral, Sarp Vazhkudai, Sudharshan Rogers, James H. Bruening, Ulrich Heidelberg Univ Inst Comp Engn D-69115 Heidelberg Germany Oak Ridge Natl Lab Natl Ctr Computat Sci Oak Ridge TN USA

ISBN: (纸本)9781509061082

Designed for capacity and capability, HPC I/O systems are inherently complex and shared among multiple, concurrent jobs competing for resources. Lack of centralized coordination and control often render the end-to-end I/O paths vulnerable to load imbalance and contention. With the emergence of data-intensive HPC applications, storage systems are further contended for performance and scalability. This paper proposes to unify two key approaches to tackle the imbalanced use of I/O resources and to achieve an end-to-end I/O performance improvement in the most transparent way. First, it utilizes a topology-aware, Balanced Placement I/O method (BPIO) for mitigating resource contention. Second, it takes advantage of the platform-neutral ADIOS middle-ware, which provides a flexible I/O mechanism for scientific applications. By integrating BPIO with ADIOS, referred to as Aequilibro, we obtain an end-to-end and per job I/O performance improvement for ADIOS-enabled HPC applications without requiring any code changes. Aequilibro can be applied to almost any HPC platform and is mostly suitable for systems that lack a centralized file system resource manager. We demonstrate the effectiveness of our integration on the Titan system at the Oak Ridge National Laboratory. Our experiments with a synthetic benchmark and real-world HPC workload show that, even in a noisy production environment, Aequilibro can improve large-scale application performance significantly.

关键词： parallel file system High Performance Computing Load Balancing Performance Evaluation

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TRIO: Burst Buffer Based I/O Orchestration

TRIO: Burst Buffer Based I/O Orchestration

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IEEE International Conference on Cluster Computing (CLUSTER)

作者： Wang, Teng Oral, Sarp Pritchard, Michael Wang, Bin Yu, Weikuan Florida State Univ Tallahassee FL 32306 USA Oak Ridge Natl Lab Oak Ridge TN USA Auburn Univ Auburn AL 36849 USA

ISBN: (纸本)9781467365987

The growing computing power on leadership HPC systems is often accompanied by ever-escalating failure rates. Checkpointing is a common defensive mechanism used by scientific applications for failure recovery. However, directly writing the large and bursty checkpointing dataset to parallel file systems can incur significant I/O contention on storage servers. Such contention in turn degrades bandwidth utilization of storage servers and prolongs the average job I/O time of concurrent applications. Recently burst buffers have been proposed as an intermediate layer to absorb the bursty I/O traffic from compute nodes to storage backend. But an I/O orchestration mechanism is still desirable to efficiently move checkpointing data from burst buffers to storage backend. In this paper, we propose a burst buffer based I/O orchestration framework, named TRIO, to intercept and reshape the bursty writes for better sequential write traffic to storage servers. Meanwhile, TRIO coordinates the flushing orders among concurrent burst buffers to alleviate the contention on storage server. Our experimental results demonstrated that TRIO could efficiently utilize storage bandwidth and reduce the average job I/O time by 37% on average for data intensive applications in typical checkpointing scenarios.

关键词： Burst buffer Checkpointing Lustre parallel file system Scientific applications

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Luster A Scalable Architecture file system: A Research Implementation on Active Storage Array Framework with Luster file system.

Luster A Scalable Architecture File System: A Research Imple...

引用

International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

作者： Salunkhe, Rushikesh Kadam, Aniket D. Jayakumar, Naveenkumar Joshi, Shashank Bharati Vidyapeeth Coll Engn Dept Comp Engn Pune Maharashtra India Bharati Vidyapeeth Coll Engn Dept Informat Technol Pune Maharashtra India

ISBN: (纸本)9781467399395

file system is Data-Structure with Logic (method) to handle efficiently a group of information on disk. file systems come are classified according to their structure method of operation, speed of operation, scalability and flexibility size and security. A file system framework is an intends to sort out data anticipated that would be retained after a program terminates by giving methodology to store, retrieve and update information, and also deal with the accessible space on the device(s) which contain it. A file system framework sorts out information in a proficient way and is tuned to the particular attributes of the device. Individual device partitions can be setup utilizing one of the wide ranges of file systems. Each has its own particular features, impediments, and unique characteristics. This paper concentrates on the components of versatile and adaptable parallel file system framework named Lustre. A null hypothesis work has been presented on Luster file system which is a step in HPC(high performance computing). The hypothesis accepts research scope from survey of articles from various portals and presents in better approach developed by our team in research domain of file system to handle issues and built a better scalable file system like luster. A sequential survey analysis has been done on file system for articles from last three decades in file system research. the research scope unwrapped by scholars is been highlighted in this article and implementation work of innovative scalable file system is been presents which solves many research Questions and space in file system research domain. Performance evaluation helps in assisting file system in current scenario. A systematic literature survey has been incorporated in manuscript for finding research directions. Twenty research articles have ben breakdown in abstract methodology and research scope to find in challenges and subsequent methods to overcome those challenges.

关键词： file system adaptive partitioning distributed storage parallel file system scalable file system(FS)

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Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC systems 17

Dynamic Management of In-memory Storage for Efficiently Inte...

引用

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

作者： Xuan, Pengfei Luo, Feng Ge, Rong Srimani, Pradip K. Clemson Univ Sch Comp Clemson SC 29634 USA

ISBN: (纸本)9781509066117

In order to boost the performance of data-intensive computing on HPC systems, in-memory computing frameworks, such as Apache Spark and Flink, use local DRAM for data storage. Optimizing the memory allocation to data storage is critical to delivering performance to traditional HPC compute jobs and throughput to data-intensive applications sharing the HPC resources. Current practices that statically configure in-memory storage may leave inadequate space for compute jobs or miss the opportunity to utilize available space for data-intensive applications. In this paper, we explore techniques to dynamically adjust in-memory storage allocation and provide optimum memory to compute jobs. We have developed a dynamic in-memory storage controller, DynIMS, which monitors memory demands of compute tasks in real time and employs a feedback-based control mechanism to adapt the allocation of in-memory storage. We test DynIMS using HPCC and Spark workloads on a HPC cluster. Experimental results show that DynIMS can achieve up to 5X performance improvement compared to systems with static memory allocations.

关键词： component in-memory storage parallel file system dynamic control HPC

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Attributed Consistent Hashing for Heterogeneous Storage systems 27

Attributed Consistent Hashing for Heterogeneous Storage Syst...

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27th IEEE/ACM/IFIP International Conference on parallel Architectures and Compilation Techniques (PACT)

作者： Zhou, Jiang Chen, Yong Wang, Weiping Texas Tech Univ Lubbock TX 79409 USA Chinese Acad Sci Inst Informat Engn Beijing Peoples R China

ISBN: (纸本)9781450359863

Storage systems are critical building blocks of high-end computing systems and data centers. They demand the flexibility to distribute data effectively and provide high I/O performance. The consistent hashing algorithm is widely used in parallel/distributed file systems due to its decentralized design, scalability, and adaptability to node changes. However, it lacks efficiency in a heterogeneous environment where different storage devices, e.g. hard disk drives and solid state drives, co-exist. In this study, we propose an attributed consistent hashing (attributedCH), to overcome this deficiency. AttributedCH manages heterogeneous nodes on a consistent hashing ring and maintains attributes for each node to characterize distinct node features. It divides the hash ring into sectors and selects nodes from the sector with a comprehensive selection strategy. By considering different attributes, attributedCH achieves adaptive and efficient data placement for heterogeneous storage systems. We have carried out extensive evaluations and the evaluation results confirm that the attributedCH overcomes the deficiency of existing consistent hashing algorithms well and is particularly suitable for heterogeneous storage systems.

关键词： parallel file system data distribution heterogeneous storage system consistent hashing

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Agent Based Simulation as an Efficient Way for HPC I/O system Tuning 24th

Agent Based Simulation as an Efficient Way for HPC I/O Syste...

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24th International Conference on Computational Science (ICCS)

作者： Encinas, Diego Naiouf, Marcelo De Giusti, Armando Bond, Roman Mendez, Sandra Rexachs, Dolores Luque, Emilio Natl Univ La Plata Informat Res Inst LIDI Associated Res Ctr CIC RA-1900 La Plata Argentina Univ Nacl Arturo Jauretche SimHPC TICAPPS RA-1888 Florencio Varela Argentina Univ Autonoma Barcelona Comp Architecture & Operating Syst Dept Escola Engn Edifici Q Campus UAB Bellaterra 08193 Spain

ISBN: (纸本)9783031637582;9783031637599

Generally, evaluating the performance offered by an HPC I/O system with different configurations and the same application allows selecting the best settings. This paper proposes to use agent-based modeling and simulation (ABMS) to evaluate the performance of the I/O software stack to allow researchers to choose the best possible configuration without testing the real system. Testing configurations in a simulated environment minimizes the risk of disrupting real systems. In particular, this paper analyzes the communication layer of an HPC I/O system, more specifically the communication layer of the parallel file system (PVFS2). ABMS has been selected because it enables a rapid change in the level of analysis for modeling and implementing a simulator. It can focus on both macro- and micro-levels (how the aggregate behavior of system agents is born and analyzing their individual behavior).

关键词： Agent-Based Modeling and Simulation (ABMS) HPC I/O system parallel file system

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The role of storage target allocation in applications' I/O performance with BeeGFS

The role of storage target allocation in applications' I/O p...

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IEEE International Conference on Cluster Computing (CLUSTER)

作者： Boito, Francieli Pallez, Guillaume Teylo, Luan Univ Bordeaux CNRS Bordeaux INP InriaLaBRIUMR 5800 F-33400 Talence France

ISBN: (数字)9781665498562

ISBN: (纸本)9781665498562

parallel file systems are at the core of HPC I/O infrastructures. Those systems minimize the I/O time of applications by separating files into fixed-size chunks and distributing them across multiple storage targets. Therefore, the I/O performance experienced with a PFS is directly linked to the capacity to retrieve these chunks in parallel. In this work, we conduct an in-depth evaluation of the impact of the stripe count (the number of targets used for striping) on the write performance of BeeGFS, one of the most popular parallel file systems today. We consider different network configurations and show the fundamental role played by this parameter, in addition to the number of compute nodes, processes and storage targets. Through a rigorous experimental evaluation, we directly contradict conclusions from related work. Notably, we show that sharing I/O targets does not lead to performance degradation and that applications should use as many storage targets as possible. Our recommendations have the potential to significantly improve the overall write performance of BeeGFS deployments and also provide valuable information for future work on storage target allocation and stripe count tuning.

关键词： parallel file system parallel I/O BeeGFS I/O performance performance evaluation stripe count

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Self-Assessing Processes in HPC Applications: Alternate approach to Master/Slave Processes

Self-Assessing Processes in HPC Applications: Alternate appr...

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IEEE International Conference on Innovative Mechanisms for Industry Applications (ICIMIA

作者： Shukla, Sankalp Rajput, Dheeraj Singh Ahirwar, Maniram Indira Gandhi Engn Coll Sagar MP India

ISBN: (纸本)9781509059607

This paper proposes the use of a new approach, i.e., 'Self Assessing Processes' approach in high performance computing (HPC) applications in which all processes identify the section of data to be computed using them. After the successful completion of these computations, each process employs a Message Passing Interface (MPI) I/O to write the results to a file in parallel. This eliminates idle time of processes, making efficient use of modern parallel file architecture systems. Contemporary high performance applications employ Master/Slave model to make use of modern multi-core architectures. The disadvantage of Master/Slave model is that master processes create communication overheads while distributing and gathering information. Also, master and slave processes remain idle for a considerable amount of time waiting for communication. The master-slave model application involves file I/O, consuming excessive amount of time due to sequential reading and writing by the master process. The performance of the proposed approach is verified by using Intel Trace Analyzer and Collector (ITAC).

关键词： HPC Master/Slave model Multi-Core file I/O parallel file system Message Passing Interface I/O Intel Trace Analyzer and Collector (ITAC)

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Peer-to-peer lessons for cluster file systems

Peer-to-peer lessons for cluster file systems

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International Conference on parallel and Distributed Processing Techniques and Applications

作者： Mache, J Garg, S Lewis and Clark College Portland OR 97219 United States Intel Corp. Beaverton OR 97006 United States

ISBN: (纸本)1892512459

parallel file systems provide high-performance disk access by transparently striping data across multiple disks and I/O nodes. Similar to peer-to-peer systems (e.g. Freenet, Oceanstore, Chord/ CFS, Past), parallel file systems for clusters are employed on networked computers whose nodes are not guaranteed to be always available, due to node failures or network failure. However, different from peer-to-peer systems, cluster file systems like PVFS do not handle these failures very well. In this work, we explore how cluster file system can utilize certain peer-to-peer techniques that can handle failing nodes and thus allow for high data availability.

关键词： Availability Cluster computing parallel file system Peer-to-peer Performance

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file system Semantics Requirements of HPC Applications 21

File System Semantics Requirements of HPC Applications

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30th International Symposium on High-Performance parallel and Distributed Computing (HPDC)

作者： Wang, Chen Mohror, Kathryn Snir, Marc Univ Illinois Champaign IL 61820 USA Lawrence Livermore Natl Lab Livermore CA 94550 USA

ISBN: (纸本)9781450382175

Most widely-deployed parallel file systems (PFSs) implement POSIX semantics, which implies sequential consistency for reads and writes. Strict adherence to POSIX semantics is known to impede performance and thus several new PFSs with relaxed consistency semantics and better performance have been introduced. Such PFSs are useful provided that applications can run correctly on a PFS with weaker semantics. While it is widely assumed that HPC applications do not require strict POSIX semantics, to our knowledge there has not been systematic work to support this assumption. In this paper, we address this gap with a categorization of the consistency semantics guarantees of PFSs and develop an algorithm to determine the consistency semantics requirements of a variety of HPC applications. We captured the I/O activity of 17 representative HPC applications and benchmarks as they performed I/O through POSIX or I/O libraries and examined the metadata operations used and their file access patterns. From this analysis, we find that 16 of the 17 applications can utilize PFSs with weaker semantics.

关键词： consistency semantics parallel file system scientific applications

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