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Kumar et al., 2024 - Google Patents

Utilizing machine learning techniques for worst-case execution time estimation on GPU architectures

Kumar et al., 2024

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Document ID
735008506674924789
Author
Kumar V
Ranjbar B
Kumar A
Publication year
Publication venue
IEEE Access

External Links

Snippet

The massive parallelism provided by Graphics Processing Units (GPUs) to accelerate compute-intensive tasks makes it preferable for Real-Time Systems such as autonomous vehicles. Such systems require the execution of heavy Machine Learning (ML) and …
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Classifications

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    • G06F9/48Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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