REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems

Leistungen

RECIPE Global Resource Manager Prototype

The global resource manager developed in T2.2, at prototype stage.

RECIPE Local Resource Manager Prototype

The local resource manager developed in T2.1, at prototype stage.

Prototype Deployments update

Updated version of D42 to reflect the Jetson board addition

RECIPE Application Programming Interface

The application programming interface developed in T2.3, at prototype stage.

RECIPE Timing Analysis Tools

Tools developed in T32

Website & Dissemination materials

The project website, flyer, social media accounts and other dissemination materials. The accompanying report will be updated at M9, M18 and M36, while the website and social media will be continuously updated.

RECIPE Integrated Software Stack

RECIPE integrated software stack

RECIPE Thermal Simulation Tools

Tools developed in T33

Runtime Resource Management Policies

RTRM policies for each application based on the characterization done in T34 Outcome of T35

RECIPE Fault Prediction Tools

Tools developed in T31

Prototype Deployments

This deliverable will describe the prototype implemented for the project. All the components will be described and justified from a technical point of view. This deliverable will include all the activities performed in T.4.2.

State of the Art on Predictive Reliability Techniques

Report on the state of the art of predictive reliability techniques, outcome of T3.1 with contributions from T3.2 and T3.3.

Technology Assessment Report

This report provides an assessment of the RECIPE technologies on the target applications as outcome of T14 and T15

Lessons Learnt

Final report available to the public providing hindsight on project choices management and technical experience and future directions including observations from the advisory board

Report on Reconfigurable Accelerator Infrastructure Deployment

This report describes the adaptations and modifications performed to the original MANGO infrastructure cluster to enable its efficient use in the RECIPE project. This report will include all the activities performed in Task 4.1.

Fault-tolerance and QoS support

This report will provide all the provisions performed in the project related to fault-tolerance and QoS. The report will include activities of task 4.4.

Dissemination Plan 1

Initial dissemination plan, including specification of the data management policy.

Report on Predictive Reliability Techniques

Report on the activities of WP3 at M18, providing an overview of the work done in the first reporting period.

Dissemination Plan 2

Intermediate dissemination plan with identification of the open data sets generated by the project

Dissemination Plan 3

Final dissemination plan with final open data sets generated by the project

Veröffentlichungen

Back to the future - resource management in post-cloud solutions

Autoren: Michele Zanella, Giuseppe Massari, Andrea Galimberti, William Fornaciari
Veröffentlicht in: Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018, Seite(n) 33-38, ISBN 9781450365987
Herausgeber: ACM
DOI: 10.1145/3285017.3285028

A Game Theory Approach to Heterogeneous Resource Management: Work-in-Progress

Autoren: Lara Premi; Federico Reghenzani; Giuseppe Massari; William Fornaciari
Veröffentlicht in: 2020 International Conference on Embedded Software (EMSOFT), 2020, ISBN 978-1-7281-9195-9
Herausgeber: IEEE
DOI: 10.1109/emsoft51651.2020.9244046

Evaluating the Trade-offs in the Hardware Design of the LEDAcrypt Encryption Functions

Autoren: Alessandro Barenghi, William Fornaciari, Andrea Galimberti, Gerardo Pelosi, Davide Zoni
Veröffentlicht in: 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2019, Seite(n) 739-742, ISBN 978-1-7281-0996-1
Herausgeber: IEEE
DOI: 10.1109/icecs46596.2019.8964882

From a FPGA Prototyping Platform to a Computing Platform: The MANGO Experience

Autoren: J. Flich, R. Tornero, D. Rodriguez, D. Russo, J.M. Martinez, C. Hernandez
Veröffentlicht in: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Ausgabe year, 2021, Seite(n) 7-12, ISBN 978-3-9819263-5-4
Herausgeber: IEEE
DOI: 10.23919/date51398.2021.9474051

Predictive Resource Management in Energy-constrained Embedded Systems

Autoren: Simone Crippa, Giuseppe Massari, Federico Reghenzani, Michele Zanella, William Fornaciari
Veröffentlicht in: 2020 23rd Euromicro Conference on Digital System Design (DSD), 2020, Seite(n) 159-166, ISBN 978-1-7281-9535-3
Herausgeber: IEEE
DOI: 10.1109/dsd51259.2020.00035

Why statistical power matters for probabilistic real-time - work-in-progress

Autoren: Federico Reghenzani, Luca Santinelli, William Fornaciari
Veröffentlicht in: Proceedings of the International Conference on Embedded Software Companion - EMSOFT '19, 2019, Seite(n) 1-2, ISBN 9781450369244
Herausgeber: ACM Press
DOI: 10.1145/3349568.3351555

Analysis and countermeasures to side-channel attacks: a hardware design perspective

Autoren: Davide Zoni
Veröffentlicht in: 2019 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2019, Seite(n) 1-4, ISBN 978-1-7281-4770-3
Herausgeber: IEEE
DOI: 10.1109/recosoc48741.2019.9034935

A Probabilistic Approach to Energy-Constrained Mixed-Criticality Systems

Autoren: Federico Reghenzani, Giuseppe Massari, William Fornaciari
Veröffentlicht in: 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019, Seite(n) 1-6, ISBN 978-1-7281-2954-9
Herausgeber: IEEE
DOI: 10.1109/islped.2019.8824991

Run-Time Managed Mobile Application Execution

Autoren: Michele Zanella, Giuseppe Massari, William Fornaciari
Veröffentlicht in: 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC), 2019, Seite(n) 74-77, ISBN 978-1-7281-1796-6
Herausgeber: IEEE
DOI: 10.1109/fmec.2019.8795323

Challenges in Deeply Heterogeneous High Performance Systems

Autoren: Giovanni Agosta, Rafael Tornero Gavila, Marina Zapater Sancho, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, Jose Flich, Carles Hernandez Luz, Michal Kulczewski, Giuseppe Massari
Veröffentlicht in: 2019 22nd Euromicro Conference on Digital System Design (DSD), 2019, Seite(n) 428-435, ISBN 978-1-7281-2862-7
Herausgeber: IEEE
DOI: 10.1109/dsd.2019.00068

Prediction-based partitions evaluation algorithm for resource allocation

Autoren: Pupykina, A.; Agosta, G.
Veröffentlicht in: Advances in Parallel Computing, Ausgabe Volume 36: Parallel Computing: Technology Trends, 2020, Seite(n) 364 - 375
Herausgeber: IOS Press
DOI: 10.3233/apc200061

Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems

Autoren: William Fornaciari, Carles Hernandez, Michal Kulchewski, Simone Libutti, José Maria Martínez, Giuseppe Massari, Ariel Oleksiak, Anna Pupykina, Federico Reghenzani, Rafael Tornero, Michele Zanella, Giovanni Agosta, Marina Zapater, Davide Zoni, David Atienza, Carlo Brandolese, Leila Cammoun, Luca Cremona, Alessandro Cilardo, Albert Farres, José Flich
Veröffentlicht in: Proceedings of the 18th International Conference on Embedded Computer Systems Architectures, Modeling, and Simulation - SAMOS '18, Ausgabe year, 2018, Seite(n) 187-194, ISBN 9781-450364942
Herausgeber: ACM Press
DOI: 10.1145/3229631.3239368

A constrained extremum-seeking control for CPU thermal management

Autoren: Federico Reghenzani, Simone Formentin, Giuseppe Massari, William Fornaciari
Veröffentlicht in: Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18, Ausgabe year, 2018, Seite(n) 320-325, ISBN 9781-450357616
Herausgeber: ACM Press
DOI: 10.1145/3203217.3204464

DCFNoC - A Delayed Conflict-Free Time Division Multiplexing Network on Chip

Autoren: Tomás Picornell, José Flich, Carles Hernández, José Duato
Veröffentlicht in: Proceedings of the 56th Annual Design Automation Conference 2019 on - DAC '19, 2019, Seite(n) 1-6, ISBN 9781-450367257
Herausgeber: ACM Press
DOI: 10.1145/3316781.3317794

Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning

Autoren: Arman Iranfar, Federico Terraneo, Gabor Csordas, Marina Zapater, William Fornaciari, David Atienza
Veröffentlicht in: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020, Seite(n) 418-423, ISBN 978-3-9819263-4-7
Herausgeber: IEEE
DOI: 10.23919/date48585.2020.9116510

BLADE - A BitLine Accelerator for Devices on the Edge

Autoren: William Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza
Veröffentlicht in: Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019, Seite(n) 207-212, ISBN 9781450362528
Herausgeber: ACM
DOI: 10.1145/3299874.3317979

Probabilistic-WCET Reliability - On the experimental validation of EVT hypotheses

Autoren: Federico Reghenzani, Giuseppe Massari, William Fornaciari, Andrea Galimberti
Veröffentlicht in: Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019, Seite(n) 229-234, ISBN 9781450366403
Herausgeber: ACM
DOI: 10.1145/3312614.3312660

Design of side-channel resistant power monitors

Autoren: Davide Zoni, Luca Cremona, William Fornaciari
Veröffentlicht in: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021, Seite(n) 1-1, ISSN 0278-0070
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcad.2021.3088781

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets

Autoren: Ali Pahlevan, Marina Zapater, Ayse K. Coskun, David Atienza
Veröffentlicht in: IEEE Transactions on Sustainable Computing, Ausgabe 6/2, 2021, Seite(n) 289-305, ISSN 2377-3782
Herausgeber: IEEE
DOI: 10.1109/tsusc.2020.2983571

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

Autoren: Ashikahmed Bhuiyan, Federico Reghenzani, William Fornaciari, Zhishan Guo
Veröffentlicht in: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Ausgabe 39/11, 2020, Seite(n) 3906-3917, ISSN 0278-0070
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcad.2020.3012231

Dealing with Uncertainty in pWCET Estimations

Autoren: Federico Reghenzani, Luca Santinelli, William Fornaciari
Veröffentlicht in: ACM Transactions on Embedded Computing Systems, Ausgabe 19/5, 2020, Seite(n) 1-23, ISSN 1539-9087
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3396234

An FPU design template to optimize the accuracy-efficiency-area trade-off

Autoren: Davide Zoni; Andrea Galimberti; William Fornaciari
Veröffentlicht in: Sustainable Computing: Informatics and Systems, Ausgabe 29, A, 2021, ISSN 2210-5379
Herausgeber: Elsevier USA
DOI: 10.1016/j.suscom.2020.100450

Efficient and Scalable FPGA-Oriented Design of QC-LDPC Bit-Flipping Decoders for Post-Quantum Cryptography

Autoren: Davide Zoni, Andrea Galimberti, William Fornaciari
Veröffentlicht in: IEEE Access, Ausgabe 8, 2020, Seite(n) 163419-163433, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3020262

A Fresh View on the Microarchitectural Design of FPGA-Based RISC CPUs in the IoT Era

Autoren: Giovanni Scotti, Davide Zoni
Veröffentlicht in: Journal of Low Power Electronics and Applications, Ausgabe 9/1, 2019, Seite(n) 9, ISSN 2079-9268
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jlpea9010009

Interpreting deep learning models for epileptic seizure detection on EEG signals

Autoren: Valentin Gabeff, Tomas Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza
Veröffentlicht in: Artificial Intelligence in Medicine, Ausgabe 117, 2021, Seite(n) 102084, ISSN 0933-3657
Herausgeber: Elsevier BV
DOI: 10.1016/j.artmed.2021.102084

The Real-Time Linux Kernel: A Survey on PREEMPT_RT

Autoren: Reghenzani, Federico; Massari, Giuseppe; Fornaciari, William
Veröffentlicht in: ACM Computing Surveys, Ausgabe 52, 1, 2019, Seite(n) 1-36, ISSN 0360-0300
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3297714

Flexible and Scalable FPGA-Oriented Design of Multipliers for Large Binary Polynomials

Autoren: Davide Zoni, Andrea Galimberti, William Fornaciari
Veröffentlicht in: IEEE Access, Ausgabe 8, 2020, Seite(n) 75809-75821, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2989423

Evaluation of HPC Acceleration and Interconnect Technologies for High-Throughput Data Acquisition

Autoren: Alessandro Cilardo
Veröffentlicht in: Sensors, 2021, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21227759

Automatic identification and hardware implementation of a resource-constrained power model for embedded systems

Autoren: Luca Cremona, William Fornaciari, Davide Zoni
Veröffentlicht in: Sustainable Computing: Informatics and Systems, Ausgabe 29, 2021, Seite(n) 100467, ISSN 2210-5379
Herausgeber: Elsevier USA
DOI: 10.1016/j.suscom.2020.100467

Statistical power estimation dataset for external validation GoF tests on EVT distribution

Autoren: Federico Reghenzani, Giuseppe Massari, Luca Santinelli, William Fornaciari
Veröffentlicht in: Data in Brief, Ausgabe 25, 2019, Seite(n) 104071, ISSN 2352-3409
Herausgeber: Elsevier BV
DOI: 10.1016/j.dib.2019.104071

On the Use of Probabilistic Worst-Case Execution Time Estimation for Parallel Applications in High Performance Systems

Autoren: Matteo Fusi, Fabio Mazzocchetti, Albert Farres, Leonidas Kosmidis, Ramon Canal, Francisco J. Cazorla, Jaume Abella
Veröffentlicht in: Mathematics, Ausgabe 8/3, 2020, Seite(n) 314, ISSN 2227-7390
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/math8030314

Enforcing Predictability of Many-Cores With DCFNoC

Autoren: Tomas Picornell, Jose Flich, Carles Hernandez, Jose Duato
Veröffentlicht in: IEEE Transactions on Computers, Ausgabe 70/2, 2021, Seite(n) 270-283, ISSN 0018-9340
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2020.2987797

A Flexible Framework for Exploring, Evaluating, and Comparing SHA-2 Designs

Autoren: Raffaele Martino, Alessandro Cilardo
Veröffentlicht in: IEEE Access, Ausgabe 7, 2019, Seite(n) 72443-72456, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2920089

3D-ICE 3.0: efficient nonlinear MPSoC thermal simulation with pluggable heat sink models

Autoren: Federico Terraneo, Alberto Leva, William Fornaciari, Marina Zapater, David Atienza
Veröffentlicht in: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020, Seite(n) 1-1, ISSN 0278-0070
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcad.2021.3074613

Predictive Reliability and Fault Management in Exascale Systems

Autoren: Ramon Canal, Carles Hernandez, Rafa Tornero, Alessandro Cilardo, Giuseppe Massari, Federico Reghenzani, William Fornaciari, Marina Zapater, David Atienza, Ariel Oleksiak, Wojciech PiĄtek, Jaume Abella
Veröffentlicht in: ACM Computing Surveys, Ausgabe 53/5, 2020, Seite(n) 1-32, ISSN 0360-0300
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3403956

The Misconception of Exponential Tail Upper-Bounding in Probabilistic Real-Time

Autoren: Federico Reghenzani, Giuseppe Massari, William Fornaciari
Veröffentlicht in: IEEE Embedded Systems Letters, 2019, Seite(n) 1-1, ISSN 1943-0663
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/les.2018.2889114

Gem5-X

Autoren: Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza
Veröffentlicht in: ACM Transactions on Architecture and Code Optimization, Ausgabe 18/4, 2021, Seite(n) 1-27, ISSN 1544-3566
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3461662

Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning

Autoren: Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
Veröffentlicht in: IEEE Transactions on Parallel and Distributed Systems, Ausgabe 31/12, 2020, Seite(n) 2834-2850, ISSN 1045-9219
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2020.3004735

All-Digital Energy-Constrained Controller for General-Purpose Accelerators and CPUs

Autoren: Davide Zoni, Luca Cremona, William Fornaciari
Veröffentlicht in: IEEE Embedded Systems Letters, Ausgabe 12/1, 2020, Seite(n) 17-20, ISSN 1943-0663
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/les.2019.2914136

Scramble Suit: A Profile Differentiation Countermeasure to Prevent Template Attacks

Autoren: Alessandro Barenghi; William Fornaciari; Gerardo Pelosi; Davide Zoni
Veröffentlicht in: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, Ausgabe 39/9, 2020, Seite(n) 1778-1791, ISSN 0278-0070
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcad.2019.2926389

All-Digital Control-Theoretic Scheme to Optimize Energy Budget and Allocation in Multi-Cores

Autoren: Davide Zoni, Luca Cremona, William Fornaciari
Veröffentlicht in: IEEE Transactions on Computers, Ausgabe 69/5, 2020, Seite(n) 706-721, ISSN 0018-9340
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2019.2963859

Timing Predictability in High-Performance Computing With Probabilistic Real-Time

Autoren: Federico Reghenzani, Giuseppe Massari, William Fornaciari
Veröffentlicht in: IEEE Access, Ausgabe 8, 2020, Seite(n) 208566-208582, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3038559

The RECIPE approach to challenges in deeply heterogeneous high performance systems

Autoren: Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernandez Luz, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater
Veröffentlicht in: Microprocessors and Microsystems, Ausgabe 77, 2020, Seite(n) 103185, ISSN 0141-9331
Herausgeber: Elsevier BV
DOI: 10.1016/j.micpro.2020.103185

Probabilistic-WCET reliability: Statistical testing of EVT hypotheses

Autoren: Federico Reghenzani, Giuseppe Massari, William Fornaciari
Veröffentlicht in: Microprocessors and Microsystems, Ausgabe 77, 2020, Seite(n) 103135, ISSN 0141-9331
Herausgeber: Elsevier BV
DOI: 10.1016/j.micpro.2020.103135

Survey of Memory Management Techniques for HPC and Cloud Computing

Autoren: Anna Pupykina, Giovanni Agosta
Veröffentlicht in: IEEE Access, Ausgabe 7, 2019, Seite(n) 167351-167373, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2954169

Towards Resilient EU HPC Systems: A Blueprint

Autoren: Radojkovic, Petar; Marazakis, Manolis; Carpenter, Paul; Jeyapaul, Reiley; Gizopoulos, Dimitris; Schulz, Martin; Armejach, Adria; Ayguade, Eduard,; Bodin, François; Canal, Ramon; Cappello, Franck; Chaix, Fabien; Colin De Verdiere, Guillaume; Derradji, Said; Di Carlo, Stefano; Engelmann, Christian; Laguna, Ignacio; Moreto, Miquel; Mutlu, Onur; Papadopoulos, Lazaros; Perks, Olly; Ploumidis, Manolis;
Veröffentlicht in: Research Report - European HPC resilience initiative, Ausgabe 4, 2020
Herausgeber: HAL

An Open-Hardware Platform for MPSoC Thermal Modeling

Autoren: Federico Terraneo, Alberto Leva, William Fornaciari
Veröffentlicht in: Embedded Computer Systems: Architectures, Modeling, and Simulation - 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019, Proceedings, Ausgabe 11733, 2019, Seite(n) 184-196, ISBN 978-3-030-27561-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-27562-4_13

VGM-Bench: FPU Benchmark Suite for Computer Vision, Computer Graphics and Machine Learning Applications

Autoren: Luca Cremona, William Fornaciari, Andrea Galimberti, Andrea Romanoni, Davide Zoni
Veröffentlicht in: Embedded Computer Systems: Architectures, Modeling, and Simulation - 20th International Conference, SAMOS 2020, Samos, Greece, July 5–9, 2020, Proceedings, Ausgabe 12471, 2020, Seite(n) 323-335, ISBN 978-3-030-60938-2
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-60939-9_23

Predictive Resource Management for Next-Generation High-Performance Computing Heterogeneous Platforms

Autoren: Giuseppe Massari, Anna Pupykina, Giovanni Agosta, William Fornaciari
Veröffentlicht in: Embedded Computer Systems: Architectures, Modeling, and Simulation - 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019, Proceedings, Ausgabe 11733, 2019, Seite(n) 470-483, ISBN 978-3-030-27561-7
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-27562-4_34

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