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Valero-Lara et al., 2013 - Google Patents

Analysis in performance and new model for multiple kernels executions on many-core architectures

Valero-Lara et al., 2013

Document ID
3887923853775635062
Author
Valero-Lara P
Pelayo F
Publication year
Publication venue
2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing

External Links

Snippet

Nowadays, due to massively parallel characteristics of current many-core architectures, these devices are not only being used in order to exploit data-parallelism and to minimize the execution time in a single problem, but, they are beginning to be used in order both to …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • 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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    • 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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    • G06F9/5044—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 hardware capabilities
    • G—PHYSICS
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    • G06F9/46—Multiprogramming arrangements
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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
    • G—PHYSICS
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