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SAVE: Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures

Overview

Key Facts

Grant Number:
610996
Project duration:
09/2013 - 08/2016
Funded by:
EU
Websites:
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Completed research projects of the High-Performance IT Systems group
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Principal Investigators

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Prof. Dr. Christian Plessl

High-Performance Computing

About the person

Project Team

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Dr. Heinrich Riebler

High-Performance Computing

About the person
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Prof. Dr. Christian Plessl

High-Performance Computing

About the person

Cooperating Institutions

Polytechnikum Mailand

Cooperating Institution

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STMicroelectronics

Cooperating Institution

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Virtual Open Systems

Cooperating Institution

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Technological Educational Institute of Crete

Cooperating Institution

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ARM Limited

Cooperating Institution

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Maxeler Technologies Limited

Cooperating Institution

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Publications

Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs
H. Riebler, M. Lass, R. Mittendorf, T. L?cke, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (2017) 24:1-24:23.
Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems
H. Riebler, G.F. Vaz, C. Plessl, E.M.G. Trainiti, G.C. Durelli, C. Bolchini, in: Proc. HiPEAC 365体育_足球比分网¥投注直播官网 on Reonfigurable Computing (WRC), 2016.
Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems
H. Riebler, G.F. Vaz, C. Plessl, E.M.G. Trainiti, G.C. Durelli, E. Del Sozzo, M.D. Santambrogio, C. Bolchini, in: Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), IEEE, 2016, pp. 1–5.
Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code
G.F. Vaz, H. Riebler, T. Kenter, C. Plessl, Computers and Electrical Engineering 55 (2016) 91–111.
Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract)
T. Kenter, G.F. Vaz, H. Riebler, C. Plessl, in: 365体育_足球比分网¥投注直播官网 on Reconfigurable Computing (WRC), 2016.
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