Ignore:
Timestamp:
Aug 1, 2022, 4:10:39 PM (19 months ago)
Author:
Thierry Delisle <tdelisle@…>
Branches:
ADT, ast-experimental, master, pthread-emulation
Children:
80d16f8
Parents:
4e21942
Message:

Tiny merge of peter's changes

File:
1 edited

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

    r4e21942 r3fe4acd  
    125125User-Level threading (M:N) is gaining popularity over kernel-level threading (1:1) in many programming languages.
    126126The user threading approach is often a better mechanism to express complex concurrent applications by efficiently running 10,000+ threads on multi-core systems.
    127 Indeed, over-partitioning into small work-units with user threading significantly eases load bal\-ancing, while simultaneously providing advanced synchronization and mutual exclusion mechanisms.
     127Indeed, over-partitioning into small work-units with user threading significantly eases load bal\-ancing, while simultaneously providing advanced synchronization and mutual exclusion capabilities.
    128128To manage these high levels of concurrency, the underlying runtime must efficiently schedule many user threads across a few kernel threads;
    129129which begs of the question of how many kernel threads are needed and should the number be dynamically reevaluated.
    130130Furthermore, scheduling must prevent kernel threads from blocking, otherwise user-thread parallelism drops.
    131 When user-threading parallelism does drop, how and when should idle kernel-threads be to sleep to avoid wasted CPU resources.
     131When user-threading parallelism does drop, how and when should idle kernel-threads be put to sleep to avoid wasted CPU resources.
    132132Finally, the scheduling system must provide fairness to prevent a user thread from monopolizing a kernel thread;
    133133otherwise other user threads can experience short/long term starvation or kernel threads can deadlock waiting for events to occur on busy kernel threads.
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