COMPUSAPIEN SIGNED
Computing Server Architecture with Joint Power and Cooling Integration at the Nanoscale
Total Cost €
0EC-Contrib. €
0Partnership
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0COMPUSAPIEN project word cloud
Explore the words cloud of the COMPUSAPIEN project. It provides you a very rough idea of what is the project "COMPUSAPIEN" about.
Project "COMPUSAPIEN" data sheet
The following table provides information about the project.
| Coordinator |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address contact info |
| Coordinator Country | Switzerland [CH] |
| Total cost | 1˙999˙281 € |
| EC max contribution | 1˙999˙281 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2016-COG |
| Funding Scheme | ERC-COG |
| Starting year | 2017 |
| Duration (year-month-day) | from 2017-06-01 to 2022-05-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | CH (LAUSANNE) | coordinator | 1˙999˙281.00 |
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Project objective
The soaring demand for computing power in the last years has grown faster than semiconductor technology evolution can sustain, and has produced as collateral undesirable effect a surge in power consumption and heat density in computing servers. Although computing servers are the foundations of the digital revolution, their current designs require 30-40% of the energy supplied to be dissipated in cooling. The remaining energy is used for computation, but their complex many-core designs produce very high operating temperatures. Thus, operating all the cores continuously at maximum performance levels results in system overheating and failures. This situation is limiting the benefits of technology scaling.
The COMPUSAPIEN proposal aims to completely revise the current computing server architecture. In particular, inspired by the mammalian brain, this proposal targets to design a disruptive three-dimensional (3D) computing server architecture that overcomes the prevailing worst-case power and cooling provisioning paradigm for servers. This new 3D server design champions a heterogeneous many-core architecture template with an integrated on-chip microfluidic fuel cell network for joint cooling delivery and power supply. Also, it will include a novel predictive controller based on holistic power-temperature models, which exploit the server software stack to achieve energy-scalable computing capabilities. Because of its integrated electronic-electrochemical architecture design, COMPUSAPIEN is clearly a high-risk high-reward proposal that will bring drastic energy savings with respect to current server design approaches, and will guarantee energy scalability in future server architectures. To realize this vision, COMPUSAPIEN will develop and integrate breakthrough innovations in heterogeneous computing architectures, cooling-power subsystem design, combined microfluidic power delivery and temperature management in computers.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Benoit W. Denkinger, Flavio Ponzina, Soumya S. Basu, Andrea Bonetti, Szabolcs Balasi, Martino Ruggiero, Miguel Peon-Quiros, Davide Rossi, Andreas Burg, David Atienza Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices published pages: 1-1, ISSN: 2168-2356, DOI: 10.1109/mdat.2019.2947282 |
IEEE Design & Test August 2019 | 2020-02-06 |
| 2019 |
Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers published pages: 1-1, ISSN: 1939-1374, DOI: 10.1109/tsc.2019.2919555 |
IEEE Transactions on Services Computing 31 May 2019 | 2020-02-06 |
| 2018 |
Artem Aleksandrovich Andreev, Arvind Sridhar, Mohamed M. Sabry, Marina Zapater, Patrick Ruch, Bruno Michel, David Atienza PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays published pages: 73-85, ISSN: 0018-9340, DOI: 10.1109/tc.2017.2695179 |
IEEE Transactions on Computers 67/1 | 2019-02-26 |
| 2018 |
Ali Pahlevan, Xiaoyu Qu, Marina Zapater, David Atienza Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers published pages: 1667-1680, ISSN: 0278-0070, DOI: 10.1109/tcad.2017.2760517 |
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37/8 | 2019-02-26 |
| 2018 |
Arman Iranfar, Marina Zapater, David Atienza Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers published pages: 2268-2281, ISSN: 1045-9219, DOI: 10.1109/tpds.2018.2827381 |
IEEE Transactions on Parallel and Distributed Systems 29/10 | 2019-03-01 |
| 2018 |
Arman Iranfar, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, David Atienza TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip published pages: 1532-1545, ISSN: 0278-0070, DOI: 10.1109/tcad.2017.2768417 |
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37/8 | 2019-02-26 |
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