Results 281 to 290 of about 7,752,729 (310)
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ACM SIGAda Ada Letters, 2013
The new many-core platforms make it difficult for the programmer to provide efficient mapping of Ada programs onto the underlying non-uniform hardware. This paper discusses how existing Ada concepts such as Dispatching Domains and the Distributed Systems Annex can be extended or changed to better support the hierarchical and heterogeneous nature of ...
Luis Miguel Pinho +2 more
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The new many-core platforms make it difficult for the programmer to provide efficient mapping of Ada programs onto the underlying non-uniform hardware. This paper discusses how existing Ada concepts such as Dispatching Domains and the Distributed Systems Annex can be extended or changed to better support the hierarchical and heterogeneous nature of ...
Luis Miguel Pinho +2 more
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A latency simulator for many-core systems
2011In this paper we present MCoreSim, an open-source simulation framework for massively parallel and many-core com- puting systems based on OMNeT++. The simulator supports tile-based architectures with distributed memory and mesh-based interconnects.
Sunil Kumar +2 more
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Resource-Agnostic Programming for Many-Core Microgrids
2011Many-core architectures are a commercial reality, but programming them efficiently is still a challenge, especially if the mix is heterogeneous. Here granularity must be addressed, i.e. when to make use of concurrency resources and when not to. We have designed a data-driven, fine-grained concurrent execution model (SVP) that captures concurrency in a ...
Thomas A. M. Bernard +4 more
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1Teaching many-core programming
10th European Workshop on Microelectronics Education (EWME), 2014Leonidas Tsiopoulos +4 more
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2015
The previous chapters presented a number of novel Machine Learning algorithms and high-performance implementations of existing ones with data scalability in mind. The rationale is to increase their practical applicability to largescale ML problems. The common underlying thread has been the recent progress in usability, cost effectiveness and diversity ...
Noel Lopes, Bernardete Ribeiro
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The previous chapters presented a number of novel Machine Learning algorithms and high-performance implementations of existing ones with data scalability in mind. The rationale is to increase their practical applicability to largescale ML problems. The common underlying thread has been the recent progress in usability, cost effectiveness and diversity ...
Noel Lopes, Bernardete Ribeiro
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Many-Core Graph Workload Analysis
SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, 2018Stijn Eyerman +4 more
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Modelling many-core architectures
2019Architectural modelling has two primary objectives: (1) navigating the design space exploration, i.e. guiding the architects to arrival at better design choices, and (2) facilitating dynamic management, i.e. providing the functional relationships between workloads'characteristics and architectural configurations to enable appropriate runtime hardware ...
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Practical Many-Core Programming
2011In the previous chapters we introduced the foundations for programming many-core chips: current and expected hardware architectures; operating system designs; foundations of parallel programming; the basic programming models that we believe are the most promising ones in the context of many-core chips.
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