Architecture and Performance of Dynamic Offloader for Cluster Network
Keiichi Aoki,
University of Tsukuba –
Abstract:
Improved hardware technology for network hardware, a technique to migrate a
part of calculations performed by the host CPU into the network hardware is
focused by the researchers in the high performance network architecture
field, because the recent network hardware obtains high performance
processor(s) for controling network protocols. Several researches or
products for offloading communication protocol to network device have
succeeded in increasing communication performance. However, in these
techniques, the host processor still needs to access the network hardware
frequently since the unit of offloading is small. This presentation will
show a design of software environment to offload the user-defined software
modules to Maestro2 cluster network This mechanism is called Maestro Dynamic
Offloading mechanism (MDO). MDO allows an application program to offload its
major part of communication procedure of the application program to address
this problem. The experimental results of the performance evaluation of MDO
will be shown by offloading collective communication pertterns.
Date: 2006-Dec-07 Time: 16:00:00 Room: 336
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OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities

We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
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David Posada, University of Vigo (class)
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The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
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