Ignore:
Timestamp:
Sep 6, 2022, 4:05:00 PM (2 years ago)
Author:
Thierry Delisle <tdelisle@…>
Branches:
ADT, ast-experimental, master, pthread-emulation
Children:
a44514e
Parents:
9f99799
Message:

Merged peter's last changes and filled in most of the TODOs

File:
1 edited

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  • doc/theses/thierry_delisle_PhD/thesis/text/conclusion.tex

    r9f99799 r7a0f798b  
    1313A MQMS scheduler, with its \proc-specific ready-queues, has poor load-balancing but perfect affinity often resulting in significantly reduced communication.
    1414However, implementing fairness for an MQMS scheduler is difficult, since fairness requires \procs to be aware of each other's ready-queue progress, \ie communicated knowledge.
    15 % This challenge is made harder when comparing against MQMS schedulers (see Section\ref{sched}) which have very little inter-\proc communication.
    16 For balanced workloads with little or no data sharing (embarrassingly parallel), an MQMS scheduler is near optimal, \eg state-of-the-art work-stealing schedulers.
     15For balanced workloads with little or no data sharing (embarrassingly parallel), an MQMS scheduler, \eg a state-of-the-art work-stealing scheduler, is near optimal.
    1716For these kinds of fair workloads, adding fairness must be low-cost to hide the communication costs needed for global ready-queue progress or performance suffers.
     17While I was aware of these realities, I underestimated how little performance margin there is for communication.
     18Several of my attempts at building a fair scheduler compared poorly to work-stealing schedulers because of how thin the margin is.
    1819
    1920Second, the kernel locking, threading, and I/O in the Linux operating system offers very little flexibility, and are not designed to facilitate user-level threading.
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