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Computing Server Architecture with Joint Power and Cooling Integration at the Nanoscale

Total Cost €


EC-Contrib. €






 COMPUSAPIEN 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.

microfluidic    faster    computing    software    combined    vision    performance    electronic    overheating    server    collateral    paradigm    stack    subsystem    electrochemical    failures    energy    remaining    breakthrough    risk    reward    demand    champions    worst    limiting    consumption    supplied    power    semiconductor    computers    3d    fuel    core    designs    heterogeneous    undesirable    grown    mammalian    joint    overcomes    models    drastic    foundations    template    controller    maximum    realize    last    chip    completely    temperatures    architecture    integrate    temperature    respect    40    brain    inspired    predictive    effect    heat    soaring    cores    disruptive    evolution    scalable    revolution    compusapien    supply    revise    dissipated    innovations    density    network    surge    digital    cooling    guarantee    benefits    cell    situation    holistic    sustain    computation    scaling    architectures    dimensional    scalability    servers    provisioning    levels    prevailing    savings   

Project "COMPUSAPIEN" data sheet

The following table provides information about the project.


Organization address
address: BATIMENT CE 3316 STATION 1
postcode: 1015

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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.


year authors and title journal last update
List of publications.
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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