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Next-Gen Storage for High-Performance Data Analytics

High-Performance Computing (HPC) is already being extensively used in areas such as oil and gas exploration, weather forecasting, and Computer-Aided Engineering (CAE) simulations. Today, as it converges with big data, traditional HPC is evolving towards High-Performance Data Analytics (HPDA). As such, heterogeneous computing power and data is experiencing explosive growth, and the need for multi-protocol data access is becoming ever more crucial.

Huawei is dedicated to meeting these challenges head-on, by building the next generation of storage for HPDA, to help organizations like yours fully unleash the potential of data, with hybrid workloads-oriented capabilities, a high-density design, and multi-protocol interworking.


HPC Storage Solution Application Scenarios

  • Oil & Gas Exploration
    • One-time construction and any-time capacity expansion: Optimize investment with a fully symmetric architecture, small-scale initial deployment, and linear expansion to thousands of nodes in response to data growth.
    • One storage device with automatic tiering based on data access frequency: Automatic tiering of hot, and cold data, with no impact on services and reduced Total Cost of Ownership (TCO) throughout the lifecycle.
    • N sets to one set, migration-free, and easy maintenance: The same architecture supports seismic data processing, interpretation, and reservoir simulation, eliminating the need for data migration, improving exploration efficiency, and reducing data copies.
    Genome Sequencing
    • Automatic tiering of hot, and cold data: Free mobility of hot, and cold data between storage media without affecting ongoing services greatly lowers the TCO.
    • Migration-free, with one data copy throughout the process: The same data copy is accessed over different protocols in sequencing, alignment, analysis, and display phases.
    • Analytics performance improves with all-flash + private clients: NVMe all-flash storage with 160 GB/s bandwidth per chassis and more than 3 GB/s single-thread bandwidth for the Distributed Parallel Client (DPC).
    Weather Forecasting
    • Multiple phases in one storage system: Collection, preprocessing, mode calculation, post-processing, and data display are served by one storage system, eliminating the need for data migration.
    • Data tiering and archiving without affecting ongoing services: Automatic tiering of hot, and cold data, with no impact on services; reduced TCO throughout the lifecycle.
    • Parallel analysis of mass data: Support for Message Passing Interface-Input/Output (MPI-IO), enabling multiple compute nodes to access the same file and greatly improving the efficiency of analysis.
    Supercomputing
    • Adaptation to complex workload models: One storage system supports high bandwidth and IOPS, while DPCs support MPI-IO, providing high single-thread and single-client performance.
    • Flexible data access by multiple applications: Interworking between file, HDFS, and object protocols makes HPDA data access more efficient, and eliminates the need for data migration.
    • Data and load isolation between tenants: Multi-tenant and Quality of Service (QoS) capabilities isolate service resources and performance.
Related Products

OceanStor Pacific 9950

High-density, high-performance; 1.3x performance density

• 5U, 8 nodes
• 80 x NVMe SSDs
• 160 GB/s bandwidth, 2 million IOPS

OceanStor Pacific 9550

High-density, large-capacity; 2.67x capacity density

• 5U, 120 x 3.5-inch SATA HDD disks
• 1.68 PB raw capacity
• Elastic Erasure Code (EC)

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    Product Insights

    OceanStor Pacific Series Next-Gen Storage for High-Performance Data Analytics (HPDA)

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