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...

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Bibliographic Details
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
Language:English
Subjects:
Distributed databases
Electronic mail
Lattices
Measurement
Radio frequency
Resource management
Topology
Online Access:Request full text
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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