MANGO
MANGO: exploring Manycore Architectures for Next-GeneratiOn HPC systems
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0MANGO project word cloud
Explore the words cloud of the MANGO project. It provides you a very rough idea of what is the project "MANGO" about.
Project "MANGO" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITAT POLITECNICA DE VALENCIA
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Project website | http://www.mango-project.eu |
| Total cost | 5˙801˙820 € |
| EC max contribution | 5˙801˙820 € (100%) |
| Programme |
1. H2020-EU.1.2.2. (FET Proactive) |
| Code Call | H2020-FETHPC-2014 |
| Funding Scheme | RIA |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-10-01 to 2019-03-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITAT POLITECNICA DE VALENCIA | ES (VALENCIA) | coordinator | 418˙875.00 |
| 2 | PRO DESIGN Electronic GmbH | DE (Bruckmuehl) | participant | 1˙860˙963.00 |
| 3 | POLITECNICO DI MILANO | IT (MILANO) | participant | 646˙875.00 |
| 4 | Centro Regionale Information Communication Technology scrl | IT (Benevento) | participant | 571˙250.00 |
| 5 | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | CH (LAUSANNE) | participant | 522˙083.00 |
| 6 | PHILIPS MEDICAL SYSTEMS NEDERLAND BV | NL (BEST) | participant | 495˙940.00 |
| 7 | THALES SIX GTS FRANCE SAS | FR (GENNEVILLIERS) | participant | 452˙207.00 |
| 8 | SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA | HR (ZAGREB) | participant | 436˙000.00 |
| 9 | EATON INDUSTRIES (FRANCE) SAS | FR (MONTBONNOT SAINT MARTIN) | participant | 397˙625.00 |
Map
Project objective
MANGO targets to achieve extreme resource efficiency in future QoS-sensitive HPC through ambitious cross-boundary architecture exploration for performance/power/predictability (PPP) based on the definition of new-generation high-performance, power-efficient, heterogeneous architectures with native mechanisms for isolation and quality-of-service, and an innovative two-phase passive cooling system. Its disruptive approach will involve many interrelated mechanisms at various architectural levels, including heterogeneous computing cores, memory architectures, interconnects, run-time resource management, power monitoring and cooling, to the programming models. The system architecture will be inherently heterogeneous as an enabler for efficiency and application-based customization, where general-purpose compute nodes (GN) are intertwined with heterogeneous acceleration nodes (HN), linked by an across-boundary homogeneous interconnect. It will provide guarantees for predictability, bandwidth and latency for the whole HN node infrastructure, allowing dynamic adaptation to applications. MANGO will develop a toolset for PPP and explore holistic pro-active thermal and power management for energy optimization including chip, board and rack cooling levels, creating a hitherto inexistent link between HW and SW effects at all layers. Project will build an effective large-scale emulation platform. The architecture will be validated through noticeable examples of application with QoS and high-performance requirements.
Ultimately, the combined interplay of the multi-level innovative solutions brought by MANGO will result in a new positioning in the PPP space, ensuring sustainable performance as high as 100 PFLOPS for the realistic levels of power consumption (<15MWatt) delivered to QoS-sensitive applications in large-scale capacity computing scenarios providing essential building blocks at the architectural level enabling the full realization of the ETP4HPC strategic research agenda
Deliverables
| Report on MANGO Software Support | Documents, reports | 2019-11-19 08:52:34 |
| Project Dissemination and Communication plan | Documents, reports | 2019-11-19 08:52:33 |
| Phase 1 Platform | Demonstrators, pilots, prototypes | 2019-11-19 08:52:33 |
| Board and Rack Architectures | Documents, reports | 2019-11-19 08:52:34 |
| Periodic dissemination report - 1 | Documents, reports | 2019-11-19 08:52:34 |
| Report on WP2 progress | Documents, reports | 2019-11-19 08:52:34 |
| Report on the MANGO Architecture Specifications | Documents, reports | 2019-11-19 08:52:34 |
| Progress Management Report - 1 | Documents, reports | 2019-11-19 08:52:34 |
| Report on Application Requirements | Documents, reports | 2019-11-19 08:52:34 |
| Reporting of WP5 progress | Documents, reports | 2019-11-19 08:52:34 |
| Project Website | Documents, reports | 2019-11-19 08:52:33 |
| Transcoding Applications | Documents, reports | 2019-11-19 08:52:35 |
| Progress Management Report - 2 | Documents, reports | 2019-11-19 08:52:35 |
| Final Project Validation | Demonstrators, pilots, prototypes | 2019-11-19 08:52:35 |
| Programming Models and Compilers | Documents, reports | 2019-11-19 08:52:35 |
| Tile Architectures | Documents, reports | 2019-11-19 08:52:35 |
| OS, Hypervisor Adaptation, and HPC Monitoring | Documents, reports | 2019-11-19 08:52:35 |
| Final high-level workshop | Documents, reports | 2019-11-19 08:52:35 |
| Periodic dissemination report - 2 | Documents, reports | 2019-11-19 08:52:35 |
| Manycore Architectures | Documents, reports | 2019-11-19 08:52:35 |
| Final Implemented Real-Time HPC Software Support | Documents, reports | 2019-11-19 08:52:35 |
| Final (phase 3) Platform | Demonstrators, pilots, prototypes | 2019-11-19 08:52:34 |
| Runtime Management Support | Documents, reports | 2019-11-19 08:52:35 |
| Phase 2 Platform | Demonstrators, pilots, prototypes | 2019-11-19 08:52:34 |
Take a look to the deliverables list in detail: detailed list of MANGO deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
Alessandro Cilardo, Mirko Gagliardi, Ciro Donnarumma \"\"\"A Configurable Shared Scratchpad Memory for GPU-like Processors\"\"\" published pages: 3-14, ISSN: , DOI: 10.1007/978-3-319-49109-7_1 |
Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Volume 1 of the series Lecture Notes on Data Engineering and Communications Technologies | 2019-11-19 |
| 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 | 2019-11-19 |
| 2016 |
Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits published pages: 1-1, ISSN: 0018-9340, DOI: 10.1109/TC.2016.2550454 |
IEEE Transactions on Computers | 2019-11-19 |
| 2016 |
Innocenzo Mungiello, Francesco De Rosa \"\"\"Adaptive Modular Mapping to Reduce Shared Memory Bank Conflicts on GPUs\"\"\" published pages: 361-372, ISSN: , DOI: 10.1007/978-3-319-49109-7_34 |
Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Volume 1 of the series Lecture Notes on Data Engineering and Communications Technologies | 2019-11-19 |
| 2018 |
José Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Carlo Brandolese, Etienne Cappe, Alessandro Cilardo, Leon Dragić, Alexandre Dray, Alen Duspara, William Fornaciari, Edoardo Fusella, Mirko Gagliardi, Gerald Guillaume, Daniel Hofman, Ynse Hoornenborg, Arman Iranfar, Mario KovaÄ, Simone Libutti, Bruno Maitre, José Maria MartÃnez, Giuseppe Massari, Koen Meinds, Hrvoje Mlinarić, Ermis Papastefanakis, Tomás Picornell, Igor Piljić, Anna Pupykina, Federico Reghenzani, Isabelle Staub, Rafael Tornero, Michele Zanella, Marina Zapater, Davide Zoni Exploring manycore architectures for next-generation HPC systems through the MANGO approach published pages: 154-170, ISSN: 0141-9331, DOI: 10.1016/j.micpro.2018.05.011 |
Microprocessors and Microsystems 61 | 2019-11-19 |
| 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 | 2019-11-19 |
| 2018 |
Edoardo Fusella, Alessandro Cilardo Reducing Power Consumption of Lasers in Photonic NoCs through Application-Specific Mapping published pages: 1-11, ISSN: 1550-4832, DOI: 10.1145/3173463 |
ACM Journal on Emerging Technologies in Computing Systems 14/2 | 2019-11-19 |
| 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 | 2019-11-19 |
| 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 | 2019-11-19 |
| 2018 |
Davide Zoni, Luca Cremona, Alessandro Cilardo, Mirko Gagliardi, William Fornaciari PowerTap: All-digital power meter modeling for run-time power monitoring published pages: 128-139, ISSN: 0141-9331, DOI: 10.1016/j.micpro.2018.07.007 |
Microprocessors and Microsystems 63 | 2019-11-19 |
| 2019 |
A.Cilardo, M. Gagliardi, V. Scotti Lightweight hardware support for selective coherence in heterogeneous manycore accelerators published pages: , ISSN: , DOI: |
2019-11-19 | |
| 2019 |
2. L. Costero, A. Iranfar, M. Zapater, F. Igual, K. Olcoz, D. Atienza Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding published pages: , ISSN: , DOI: |
2019-11-19 | |
| 2019 |
1. Iranfar, A. Pahlevan, M. Zapater, D. Atienza Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers published pages: , ISSN: , DOI: |
2019-11-19 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MANGO" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "MANGO" are provided by the European Opendata Portal: CORDIS opendata.