When scheduling a directed acyclic graph (DAG) of tasks with communication costs on computational platforms, a good trade-off between load balance and data locality is necessary. List-based scheduling techniques are commonly-used greedy approaches for this problem. The downside of list-scheduling heuristics is that they are incapable of making shor...
When scheduling a directed acyclic graph (DAG) of tasks with communication costs on computational platforms, a good trade-off between load balance and data locality is necessary. List-based scheduling techniques are commonly-used greedy approaches for this problem. The downside of list-scheduling heuristics is that they are incapable of making shor...
When scheduling a directed acyclic graph (DAG) of tasks with communication costs on computational platforms, a good trade-off between load balance and data locality is necessary. List-based scheduling techniques are commonly-used greedy approaches for this problem. The downside of list-scheduling heuristics is that they are incapable of making shor...
When scheduling a directed acyclic graph (DAG) of tasks with communication costs on computational platforms, a good trade-off between load balance and data locality is necessary. List-based scheduling techniques are commonly-used greedy approaches for this problem. The downside of list-scheduling heuristics is that they are incapable of making shor...
Due to the Internet of Things (IoT), a giant leap towards a quantified self is made, i.e., more and more aspects of our lives are being captured, processed, and analyzed. This has many positive implications, e.g., Smart Health services help to relieve patients as well as physicians and reduce treatment costs. However, the price for such services is...
Due to the Internet of Things (IoT), a giant leap towards a quantified self is made, i.e., more and more aspects of our lives are being captured, processed, and analyzed. This has many positive implications, e.g., Smart Health services help to relieve patients as well as physicians and reduce treatment costs. However, the price for such services is...
Due to the Internet of Things (IoT), a giant leap towards a quantified self is made, i.e., more and more aspects of our lives are being captured, processed, and analyzed. This has many positive implications, e.g., Smart Health services help to relieve patients as well as physicians and reduce treatment costs. However, the price for such services is...
Due to the Internet of Things (IoT), a giant leap towards a quantified self is made, i.e., more and more aspects of our lives are being captured, processed, and analyzed. This has many positive implications, e.g., Smart Health services help to relieve patients as well as physicians and reduce treatment costs. However, the price for such services is...
and advances in computational techniques such as machine learning (ML) could be a boon for urban accessibility studies, yet their application in this field remains limited. In this study, we provided detailed predictions of healthcare accessibility across a rapidly growing city and related them to socio-economic factors using a combination of class...
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