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Arandi et al., 2018 - Google Patents

Data-driven thread execution on heterogeneous processors

Arandi et al., 2018

Document ID
11028156131710005387
Author
Arandi S
Matheou G
Kyriacou C
Evripidou P
Publication year
Publication venue
International Journal of Parallel Programming

External Links

Snippet

In this paper we report our experience in implementing and evaluating the Data-Driven Multithreading (DDM) model on a heterogeneous multi-core processor. DDM is a non- blocking multithreading model that decouples the synchronization from the computation …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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