Accelerating XOR-Based Erasure Coding using Program Optimization Techniques

Erasure coding (EC) affords data redundancy for large-scale systems. XOR-based EC is an easy-to-implement method for optimizing EC. This paper addresses a significant performance gap between the state-of-the-art XOR-based EC approach (~4.9 GB/s coding through-put) and Intel's high-performance E...

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Veröffentlicht in:SC21: International Conference for High Performance Computing, Networking, Storage and Analysis S. 1 - 15
1. Verfasser: Uezato, Yuya
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: ACM 14.11.2021
Schlagworte:
Encoding
Games
High performance computing
Optimization methods
Program processors
Redundancy
Throughput
ISSN:2167-4337
Online-Zugang:Volltext
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Zusammenfassung:Erasure coding (EC) affords data redundancy for large-scale systems. XOR-based EC is an easy-to-implement method for optimizing EC. This paper addresses a significant performance gap between the state-of-the-art XOR-based EC approach (~4.9 GB/s coding through-put) and Intel's high-performance EC library based on another approach (~6.7 GB/s). We propose a novel approach based on our observation that XOR-based EC virtually generates programs of a Domain Specific Language for XORing byte arrays. We formalize such programs as straight-line programs (SLPs) of compiler construction and optimize SLPs using various program optimization techniques. Our optimization flow is three-fold: 1) reducing the number of XORs using grammar compression algorithms; 2) reducing memory accesses using deforestation, a functional program optimization method; and 3) reducing cache misses using the (red-blue) pebble game of program analysis. We provide an experimentallibrary, which outperforms Intel's library with an \sim 8.92 GB/s throughput.
ISSN:2167-4337
DOI:10.1145/3458817.3476204