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Design and implementation of a cloud computing service for finite element analysis
(Elsevier, 2013-06)
This paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance ...
Towards automatic selection of direct vs. iterative solvers for cloud-based finite element analysis
(Civil-Comp, 2015)
The new trend in engineering is to solve complex computational problems in the cloud using high performance computing (HPC) services provided by different vendors. In this paper, we compare performances of direct vs. ...
Smart job scheduling for high-performance cloud computing services
(Civil-comp, 2011-01)
In this paper, we describe the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific ...
Seyrek matris-vektör çarpımı için koşut zamanda özelleşmi̇ş kod üreti̇mi̇ ve deneysel opti̇mi̇zasyon
(IEEE, 2012)
Bu çalışmada seyrek matris-vektor çarpımı için matris içeriğine göre özelleşmiş, yüksek hızlı program üretimi yapan bir kütüphane tasarımı anlatılmaktadır. Kütüphane sinyal işleme uygulamaları, bilimsel hesaplamalar, sonlu ...
Democratization of HPC cloud services with automated parallel solvers and application containers
(Wiley, 2018-11-10)
In this paper, we investigate several design choices for HPC services at different layers of the cloud computing architecture to simplify and broaden its use cases. We start with the platform-as-a-service (PaaS) layer and ...
MaLeFICE: Machine learning support for continuous performance improvement in computational engineering
(Wiley, 2022-04-25)
Computer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings ...
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