Results 241 to 250 of about 437,526 (285)
Some of the next articles are maybe not open access.
2015
With rising numbers of cores and increasing processor speed in computers nowadays, it is crucial for applications to be able to use this computational power. Let’s compare a processor to yourself at work. Imagine you get stuck with a task, and only your experienced teammate can help you with it. But he’s at lunch.
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With rising numbers of cores and increasing processor speed in computers nowadays, it is crucial for applications to be able to use this computational power. Let’s compare a processor to yourself at work. Imagine you get stuck with a task, and only your experienced teammate can help you with it. But he’s at lunch.
openaire +1 more source
1988
Depending on the granularity of the different parts of a program we have low and high level spreading for fine and coarse grain program modules respectively. Most instances of the spreading problem are NP-Complete [GaJo79]. In this chapter we discuss optimal solutions for some instances of high level spreading, and efficient heuristics for the ...
openaire +1 more source
Depending on the granularity of the different parts of a program we have low and high level spreading for fine and coarse grain program modules respectively. Most instances of the spreading problem are NP-Complete [GaJo79]. In this chapter we discuss optimal solutions for some instances of high level spreading, and efficient heuristics for the ...
openaire +1 more source
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in SAGIN
IEEE Transactions on Wireless Communications, 2021Conghao Zhou, Wen Wu, Hongli He
exaly

