research-article

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StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory

Authors:

Myeongjae Jeon,

Gennady Pekhimenko,

Kathryn S. McKinley,

Felix Xiaozhu LinAuthors Info & Claims

ASPLOS '19: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

Pages 167 - 181

https://doi.org/10.1145/3297858.3304031

Published: 04 April 2019 Publication History

Abstract

Stream analytics has an insatiable demand for memory and performance. Emerging hybrid memories combine commodity DDR4 DRAM with 3D-stacked High Bandwidth Memory (HBM) DRAM to meet such demands. However, achieving this promise is challenging because (1) HBM is capacity-limited and (2) HBM boosts performance best for sequential access and high parallelism workloads. At first glance, stream analytics appears a particularly poor match for HBM because they have high capacity demands and data grouping operations, their most demanding computations, use random access. This paper presents the design and implementation of StreamBox-HBM, a stream analytics engine that exploits hybrid memories to achieve scalable high performance. StreamBox-HBM performs data grouping with sequential access sorting algorithms in HBM, in contrast to random access hashing algorithms commonly used in DRAM. StreamBox-HBM solely uses HBM to store Key Pointer Array (KPA) data structures that contain only partial records (keys and pointers to full records) for grouping operations. It dynamically creates and manages prodigious data and pipeline parallelism, choosing when to allocate KPAs in HBM. It dynamically optimizes for both the high bandwidth and limited capacity of HBM, and the limited bandwidth and high capacity of standard DRAM. StreamBox-HBM achieves 110 million records per second and 238 GB/s memory bandwidth while effectively utilizing all 64 cores of Intel's Knights Landing, a commercial server with hybrid memory. It outperforms stream engines with sequential access algorithms without KPAs by 7x and stream engines with random access algorithms by an order of magnitude in throughput. To the best of our knowledge, StreamBox-HBM is the first stream engine optimized for hybrid memories.

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Index Terms

StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Heterogeneous (hybrid) systems
    2. Parallel architectures
      1. Multicore architectures
2. Information systems
  1. Data management systems
    1. Database management system engines
      1. DBMS engine architectures

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ASPLOS '19: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

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DOI:10.1145/3297858

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Liu RZhang XWang XMin FLuo ZChen XHan YTang M(2024)MemSort: In-Memory Sorting Architecture2024 IEEE 42nd International Conference on Computer Design (ICCD)10.1109/ICCD63220.2024.00016(28-35)Online publication date: 18-Nov-2024
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