Predicting the performance of parallel applications at scale is a challenging problem. We have developed a performance prediction model for structured grid-based scientific applications for High Performance Computing ...
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With the continuous expansion of data centers, their carbon emission becomes a serious issue. A number of studies are committing to reduce the carbon emission of data centers. Carbon trading is a promising emission re...
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The paper describes a smart model for palletising as main intra-logistics task for product-on-pallet distribution, and its development in Logistics 4.0 framework aligned to Industry 4.0. The model is developed in holo...
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The paper describes a smart model for palletising as main intra-logistics task for product-on-pallet distribution, and its development in Logistics 4.0 framework aligned to Industry 4.0. The model is developed in holonic paradigm as a 2-layer Holonic Logistics Execution System (HLES) in semi-heterarchical topology. Scheduling of logistics activities and allocation to resources are optimised for global efficiency on compact time periods. The logistics model virtualises physical entities: resources, pallets and orders as holons implemented with digital twin software, and categories of task workloads: resource health monitoring, dispatching and tracking pallet orders, re-assigning jobs at resource failure, which grants reality-awareness and robustness. Global workload optimisation uses Constraint Programming as decision making technology with ILOG optimiser engine as situation-specific solver tool in SaaS cloud model, and delegate multi-agent system (MAS) technology for intelligence distribution. The optimised objective function is a combination of palletising cost weighted by robot speed limits and pallet storage cost in payable stocks. The main constructs are exemplified and validated on a real-life structure with multiple palletising resources in which programmable logic controllers (PLC) coordinate locally the parallel execution of order holons according to their globally optimised sequence.
Machine-learning (ML) algorithms are finding wide adoption across a rich spectrum of application domains with diverse requirements in terms of performance, power, and cost. These diverse requirements are making it nec...
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ISBN:
(纸本)9798350364613;9798350364606
Machine-learning (ML) algorithms are finding wide adoption across a rich spectrum of application domains with diverse requirements in terms of performance, power, and cost. These diverse requirements are making it necessary to explore a large space of ML architectures and reexamine fundamental computational structures, a process of exploration that is very expensive. To get around the costly computations associated with large data sets and long training times, there have been increasing investments in specialized fixed-function hardware. However, this specialized hardware is expensive and hard to generalize to address the spectrum of applications. For our experiments, we focus on a novel, highly parallel, superset ML architecture, and use it to test the capabilities of new coarse-grained FPGAs containing hundreds and thousands of DSP slices with dedicated local storage. These new coarse-grained architectures allow us to achieve ASIC-like clock rate and reductions in power while exploring novel and common ML architectures.
To solve the Straggler problem which seriously affects computational efficiency in distributed gradient descent (DGD), we design a dynamic redundant gradient coding method(DRGC) based on Reed-Solomon coding with dynam...
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The end of Moore's law has placed a two-fold demand on hardware simulation. Firstly, efficient co-design requires fast simulation of hardware systems in order to vet proposed designs. Secondly, modern simulator pl...
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In modern local warfare, targets are often hybrid and grouped, so it is of great significance to investigate the electromagnetic scattering characteristics of multiple hybrid targets. In this paper, the hybrid dielect...
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Integration, high reliability and high power density have become the research hotspot of modern high-frequency power converter equipment. More and more research on planar transformers in order to improve the power den...
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In today's interconnected world, as the scale of data sharing across diverse systems and organizations continues to grow, the secure and verifiable access to these data is of escalating importance. Nonetheless, ex...
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It is popular to parallel SiC MOSFETs for high-current applications. Compared with the single SiC MOSFET chip, the cross-turn-ON issues of paralleled SiC MOSFETs (PSMs) will be more complicated because of various mism...
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