Collecting Remote Data in Irregular Problems with Hierarchical Representation of the Domain

نویسندگان

  • Fabrizio Baiardi
  • Paolo Mori
  • Laura Ricci
چکیده

Irregular problems require the computation of some properties of a set of elements irregularly distributed in a domain. These problems satisfy a locality property because the properties of an element e depend upon those of its neighbors according to a problem dependent stencil. This paper proposes two strategies, fault prevention and informed fault prevention, to collect properties of elements mapped onto remote processing nodes that minimize the corresponding overhead. We describe an MPI implementation of informed fault prevention and the experimental results in the case of the adaptive multigrid method.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

خوشه‌بندی اسناد مبتنی بر آنتولوژی و رویکرد فازی

Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...

متن کامل

Modeling of the Capacitated Single Allocation Hub Location Problem with a Hierarchical Approch (TECHNICAL NOTE)

The hierarchical hub covering facility location problems are applied to distribution systems, transportation, waste disposal, treatment services, emergency services and remote communication. The problems attempt to determine the location of service providers' facilities at different levels and specify their linking directions in order to reduce costs and to establish an appropriate condition in...

متن کامل

Deep Unsupervised Domain Adaptation for Image Classification via Low Rank Representation Learning

Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...

متن کامل

Palarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm

Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...

متن کامل

Sample-oriented Domain Adaptation for Image Classification

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001