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Computer Science > Hardware Architecture

arXiv:2012.11473 (cs)
[Submitted on 21 Dec 2020]

Title:From micro-OPs to abstract resources: constructing a simpler
CPU performance model through microbenchmarking

Authors:Nicolas Derumigny, Fabian Gruber, Theophile Bastian,
Christophe Guillon, Louis-Noel Pouchet, Fabrice Rastello
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    Abstract: This paper describes PALMED, a tool that automatically
    builds a resource mapping, a performance model for pipelined,
    super-scalar, out-of-order CPU architectures. Resource mappings
    describe the execution of a program by assigning instructions in
    the program to abstract resources. They can be used to predict
    the throughput of basic blocks or as a machine model for the
    backend of an optimizing compiler.
    PALMED does not require hardware performance counters, and relies
    solely on runtime measurements to construct resource mappings.
    This allows it to model not only execution port usage, but also
    other limiting resources, such as the frontend or the reorder
    buffer. Also, thanks to a dual representation of resource
    mappings, our algorithm for constructing mappings scales to large
    instruction sets, like that of x86.
    We evaluate the algorithmic contribution of the paper in two
    ways. First by showing that our approach can reverse engineering
    an accurate resource mapping from an idealistic performance model
    produced by an existing port-mapping. We also evaluate the
    pertinence of our dual representation, as opposed to the standard
    port-mapping, for throughput modeling by extracting a
    representative set of basic-blocks from the compiled binaries of
    the Spec CPU 2017 benchmarks and comparing the throughput
    predicted by existing machine models to that produced by PALMED.

Subjects: Hardware Architecture (cs.AR); Performance (cs.PF)
Cite as:  arXiv:2012.11473 [cs.AR]
          (or arXiv:2012.11473v1 [cs.AR] for this version)

Submission history

From: Nicolas Derumigny [view email]
[v1] Mon, 21 Dec 2020 16:42:50 UTC (1,543 KB)
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