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Showing 1 to 4 of 4 for “"heterogenous computing"”.
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Distributed dataflow machine controllers
… Digital Fabrication require coordination across heterogenous computing systems, from the design tools used to describe component geometries to the embedded control systems used to interact with the physical world in order to produce those components. In the state of the art, workflows are …
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Functional Programming and Metamodeling frameworks for System Design
… through a number of examples how to model heterogenous computing systems using SML-Sys. Our framework provides for formal reasoning due to its formal semantic underpinning inherited from SML's precise denotational semantics. To handle the second problem and apply refinement strategies at a …
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An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources
Cloud computing setups are a huge investment of resources and personnel to maintain. As<br />the workload on a system is a major contributing factor to both the performance of the<br />system and a representation of the needs of system users, a clear understanding of the<br />workload is critical …
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Scalability Analysis of Synchronous Data-Parallel Artificial Neural Network (ANN) Learners
Artificial Neural Networks (ANNs) have been established as one of the most important algorithmic tools in the Machine Learning (ML) toolbox over the past few decades. ANNs' recent rise to widespread acceptance can be attributed to two developments: (1) the availability of large-scale training and …