Relation-oriented resource allocation for multi-accelerator systems

This paper presents a novel approach for allocating resources in systems with multiple accelerators. It has three main contributions. First, a new model based on Birkhoff's representation theory in capturing the ordering properties of resource allocation requests (RArs). Second, an effective te...

Full description

Saved in:
Bibliographic Details
Published in2016 IEEE 27th International Conference on Application-specific Systems, Architectures and Processors (ASAP) pp. 243 - 244
Main Authors Teng Yu, Bo Feng, Stillwell, Mark, Coutinho, Jose Gabriel F, Wenlai Zhao, Shuang Liang, Wayne Luk, Wolf, Alexander L., Yuchun Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Distributed databases
Electronic mail
Lattices
Measurement
Radio frequency
Resource management
Topology
Online AccessGet full text

Cover

More Information
Summary:This paper presents a novel approach for allocating resources in systems with multiple accelerators. It has three main contributions. First, a new model based on Birkhoff's representation theory in capturing the ordering properties of resource allocation requests (RArs). Second, an effective technique for resource allocation based on this model, targeting systems with multiple accelerators. Third, the evaluation of the proposed approach for Maxeler MPC-X multi-accelerator systems, demonstrating time-efficiency and 30%-50% failure-rate decrease (FRD) on random input dataset.
ISSN:2160-052X
DOI:10.1109/ASAP.2016.7760809