Precise event sampling‐based data locality tools for AMD multicore architectures

Author:

Sasongko Muhammad Aditya1ORCID,Chabbi Milind2,Kelly Paul H. J.3,Unat Didem1

Affiliation:

1. Computer Engineering Koç University Istanbul Turkey

2. Scalable Machines Research Los Angeles California USA

3. Department of Computing Imperial College London UK

Abstract

SummaryWe propose ComDetective, an inter‐thread communication analyzer, and ReuseTracker, a reuse distance analyzer, that leverage the hardware features in AMD processors to support low‐overhead profiling. Both tools employ the instruction‐based sampling (IBS) facility and debug registers in AMD processors to detect inter‐thread communication and data reuse. Different from prior arts, ComDetective differentiates the communication into true and false sharing, and ReuseTracker measures reuse distance in private and shared caches by also considering cache line invalidation with low overhead. Both tools can attribute the communications and reuses to source code lines. To our knowledge these tools are two of the few profiling tools designed specifically for AMD x86 architectures using IBS. Our tools are timely and relevant considering the rise in numbers of AMD processor based data centers and HPC systems. We perform experiments to evaluate the accuracy and overheads of the proposed tools on an AMD machine with two‐socket EPYC 7352 processors. ComDetective exhibits high accuracy while introducing 5.14 runtime and 1.4 memory overheads. ReuseTracker also displays high accuracy, which is 95%, with 11.76 runtime and 1.46 memory overheads. These overheads are much lower than the overheads of existing simulators and code instrumentation‐based tools. Lastly, we demonstrate the usage of the tools by having ComDetective and ReuseTracker facilitate the code refactoring of two data mining benchmarks to improve their performance by up to 29%.

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference41 articles.

1. Continuous profiling

2. Advanced Micro Devices I.AMD uProf.2021.

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1. Special issue on High‐Performance Computing Conference (BASARIM 2022);Concurrency and Computation: Practice and Experience;2023-10-16

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