Results 241 to 250 of about 434,244 (289)
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2001
This chapter presents a task-scheduling algorithm for a heterogeneous computing environment with a bounded number of processors. We first present the Heterogeneous Earliest Finish Time (HEFT) Algorithm [53] proposed by Haluk Rahmi Topcuoglu, and we then present the Dynamic Heterogeneous Prediction-Based (DHPB) Schedeuling Algorithm, and analyze its ...
Dongmin Kim, Salim Hariri
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This chapter presents a task-scheduling algorithm for a heterogeneous computing environment with a bounded number of processors. We first present the Heterogeneous Earliest Finish Time (HEFT) Algorithm [53] proposed by Haluk Rahmi Topcuoglu, and we then present the Dynamic Heterogeneous Prediction-Based (DHPB) Schedeuling Algorithm, and analyze its ...
Dongmin Kim, Salim Hariri
openaire +1 more source
Scheduling UET multiprocessor tasks
1994Summary: Classical scheduling theory assumed that a task for its processing may require only one processor at a time. This assumption is not so obvious in the context of new parallel computer systems and parallel algorithms. In this work we consider deterministic scheduling of unit execution time (UET) tasks, each of which requires more than one ...
BIANCO L. +3 more
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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

