HPC is a widely used term, often referred to the applications, architectures and programming models and tools targeting highly parallel machines such as those of the *** lists. Recent advances in computing hardware re...
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ISBN:
(数字)9798331524937
ISBN:
(纸本)9798331524944
HPC is a widely used term, often referred to the applications, architectures and programming models and tools targeting highly parallel machines such as those of the *** lists. Recent advances in computing hardware resources require application of HPC techniques when using much smaller machines. Indeed, proper parallel programming tools and applications are needed also to exploit parallel hardware resources in personal computers (laptops, desktops, servers). This paper outlines key challenges in designing master’s degree programs in HPC and shares lessons learned from various experiences in developing and implementing such programs in Italy and Europe.
A totally asynchronous gradient algorithm, with fixed step size is proposedfor federated learning. A mathematical model is presented and a convergence result is established. The convergence result is based on the conc...
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ISBN:
(纸本)9798350364613;9798350364606
A totally asynchronous gradient algorithm, with fixed step size is proposedfor federated learning. A mathematical model is presented and a convergence result is established. The convergence result is based on the concept of macro iterations sequence. The interest of the contribution is to show that the asynchronous federated learning method converges when gradients of loss functions are updated by workers without order nor synchronization and with possible unbounded delays.
This paper presents the impact of distributed generation (DG) integration on the voltage profile of the radial distribution network. The impact with the integration of the DG is analyzed using a modified power flow te...
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ISBN:
(纸本)9781665411202
This paper presents the impact of distributed generation (DG) integration on the voltage profile of the radial distribution network. The impact with the integration of the DG is analyzed using a modified power flow technique. The power flow analysis of the passive distribution network is done using the backward-forward sweep method. A novel constant power voltage (PV) DG integration technique is used to simulate reallife power by controlled DGs. This technique is added in the backward-forward sweep method and a modified power flow technique is proposed to reflect the DG integration impact. Simulation is carried out on, 15-bus and 85-bus systems to demonstrate the impact of DGs integration. The voltage profiles are obtained with and without DG integration and results are presented in graphical form.
This study explores the application of thermal imaging in breast cancer diagnostics, presenting a novel methodology that integrates pre-processing techniques and Convolutional Neural Networks (CNN) for the classificat...
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In this paper, we focus on the distributedparallel computation of tall-skinny QR factorization. Among various numerical algorithms, we evaluate the performance of four typical algorithms that have different character...
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The recent computational systems include multicomputer formations. Multiple computers allow many tasks to be processed faster and concurrently and the possibility of implementing the same functions on various processo...
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Scheduling problems are naturally formulated in terms of Constraint Programming (CP), yet the application of CP-based approaches for job scheduling on High-Performance computing (HPC) clusters remains underexplored. T...
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ISBN:
(纸本)9798400704437
Scheduling problems are naturally formulated in terms of Constraint Programming (CP), yet the application of CP-based approaches for job scheduling on High-Performance computing (HPC) clusters remains underexplored. This study aims to bridge this gap by analyzing the scheduling of diverse real workload traces using IBM ILOG CP Optimizer. The analysis considers not just the basic metrics Average Bounded Slowdown and Average Response Time, but also Area-Weighted Average Response Time and Level-2 Priority-Weighted Specific Time, which measure packing efficiency and fairness. For each workload trace and metric combination, schedules produced through optimizing the metric with CP Optimizer are compared against schedules generated by the variants of the list scheduling with backfilling that are most suitable for the metric. The CP-based scheduling improves scheduling quality in most of the examined cases. The analysis of the metrics that represent different scheduling goals uncovers several non-trivial insights. Presently, CP Optimizer still encounters scalability issues with large wait queues and non-linear objective functions. Nonetheless, it often demonstrates improvements in packing efficiency, which make CP techniques attractive, particularly in scenarios where high-maintenance clusters run a moderate number of large, rigid, well-characterized jobs.
As individuals have become overloaded with information, Recommender Systems (RS) were created to provide machine generated recommendations. Significant advancements in RS have been made thanks to Machine Learning meth...
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The large increase in information in the world can be attributed to the increase in the utilization of the internet platform. This steady and monumental increase in the amount, velocity and the variety of the data. Th...
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With in the trend of intelligence, task cooperation has been emerging as one main feature for Multiple Robot Systems (MRS) and applications, typically Multi-UAV (MUAV) system. For such swarm cooperative systems, how t...
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