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FP7 SAVE

SAVE

Project reference: 610996
Funded under

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

From 2013-09-01 to 2016-08-31, closed project

Project details

Total cost:

EUR 4 235 318

EU contribution:

EUR 2 930 000

Coordinated in:

Italy

Call for proposal:

FP7-ICT-2013-10See other projects for this call

Funding scheme:

CP - Collaborative project (generic)

System optimisation through self adaptability and virtualisation

The global ICT footprint is expected to more than triple by 2020, caused by data centres that provide information at our fingertips and the mobile devices we use to access it. Nowadays, high performance systems are designed to serve rather static workloads with high-performance requirements, although we are moving towards a highly flexible, on-demand computing scenario that is characterized by varying workloads, constituted by diverse applications with different performance requirements and criticality. This mismatch between demand and supply of computing power causes high energy dissipation. A promising approach to address the challenges posed by this scenario is to better exploit specialised computing resources integrated in a heterogeneous system architecture (such as a modern PC with several cores – CPUs – and specialised graphic co-processors – GPUs –) by taking advantage of their individual characteristics to optimise the performance/energy trade-off for the overall system. However, heterogeneity comes at the cost of greater complexity. System architects need for example to consider the efficiency of the different computational resources as well as the application workload which often leads to inefficiency in resource exploitation and therefore a suboptimal performance/energy trade-off.The SAVE project (Self-Adaptive Virtualisation-aware high-performance/low-Energy heterogeneous system architectures) aims at addressing these limitations by exploiting self-adaptivity and hardware-assisted virtualisation to allow the system to autonomously decide which specialised computing resources are exploited to achieve a more efficient execution based on user-defined optimisation goals, such as performance, energy, reliability. SAVE will define crosscutting SW/HW technologies for implementing self-adaptive systems exploiting GPUs and FPGA-based dataflow engines (DFEs) that enhance heterogeneous architectures to cope with the increased variety and dynamics of high-performance and embedded computing workloads. Virtualisation and self-adaptation are jointly exploited to obtain a new self-adaptive virtualisation-aware Heterogeneous System Architecture (saveHSA). This architecture exhibits a highly dynamic behaviour to achieve the requested performance while minimising energy consumption allocating tasks to the most appropriate computing resources. This objective is supported by two main technologies: i) novel runtime OS components to manage the HSA by migrating the computation from one resource to another, and ii) hardware-assisted virtualisation support for GPUs and DFEs.The effectiveness of SAVE technologies will be validated in two application scenarios: i) financial risk computing and ii) computer vision applications. For the adopted application scenarios, we target an energy efficiency improvement of at least 20% with respect to today’s architecture using either DFEs or GPUs, as accelerators. At the same time, system manageability, ease of deployment and resilience will be greatly improved.The project brings together key European technology companies (ST Microelectronics and ARM) and high-potential SMEs (Maxeler and Vosys) who see a timely opportunity to develop self-adaptation and virtualisation technologies to deliver a new generation of HSAs. These architectures will be a passkey for entering the market with innovative solutions with improved cost/performance/energy/resilience characteristics, reinforcing the competitiveness of those four European technology suppliers across the computing spectrum. The academic beneficiaries will exploit the project results within their educational and research programs, and disseminate the results in high-impact venues thus consolidating their leading position in this field. European citizens will directly benefit from a reduced ICT energy bill and ultimately from the environmental impact achieved by limiting the CO2 footprint of ICT as a whole.

Objective

The increasing availability of different kinds of processing resources in Heterogeneous System Architectures (HSA) associated with today's fast-changing, unpredictable workloads (e. g. of mobile or cloud-computing contexts), has propelled an interest towards self-adaptive systems that dynamically reorganise system resources to optimise for a given goal (e.g., performance, energy, reliability, resource utilisation). Hardware-assisted virtualisation is a key enabling technology for such HSAs; however it is available only for general-purpose CPUs, while heterogeneous resources, e.g. GPUs or FPGA-based dataflow engines (DFEs), currently do not support it. Thus, the performance/energy- efficiency benefits of these accelerators cannot be exploited in a self-adaptive HSAs that relies on virtualisation. The SAVE (Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures) project will develop a stack of hardware, software and OS components that allow for deciding at run-time to execute tasks on the appropriate type of resource, based on the current system status/environment/application requirements. This objective is supported by two main innovations:1. novel runtime OS components to manage the HSA by migrating task (or virtual machine) execution among CPUs, GPUs and DFEs, and2. hardware-assisted virtualisation support for GPUs and DFEs.The project outcome will be an improved HSA with self-adaptation providing not only runtime reaction to changes, but also the means to dynamically achieve optimisation goals based on the current context. To this end, SAVE brings together experts from HPC and ES to benefit from high performance, power-efficient solutions, as well as self- adaptive fine-tuning of heterogeneous resources. SAVE technology will be demonstrated on development platforms that consist of state-of-the-art processor, network-on-chip, GPU, and DFE components using applications across both domains.

Related information

Coordinator contact

Cristiana Bolchini
Cristiana Bolchini

Coordinator

POLITECNICO DI MILANO
Italy

EU contribution: EUR 367 468


PIAZZA LEONARDO DA VINCI 32
20133 MILANO
Italy
Administrative contact: Fabio Conti
Tel.: +390223993431
Fax: +390223993417
E-mail

Participants

UNIVERSITAET PADERBORN
Germany

EU contribution: EUR 432 432


WARBURGER STRASSE 100
33098 PADERBORN
Germany
Administrative contact: Daniela Gerdes
Tel.: +49 5251 602562
E-mail
STMICROELECTRONICS GRENOBLE 2 SAS
France

EU contribution: EUR 442 900


RUE JULES HOROWITZ 12
38000 GRENOBLE
France
Administrative contact: Benoit Hanifi
Tel.: +33 0637178472
E-mail
VIRTUAL OPEN SYSTEMS SARL
France

EU contribution: EUR 411 200


RUE LAKANAL 17
38000 GRENOBLE
France
Administrative contact: Salvatore Raho
Tel.: +33647920688
E-mail
TECHNOLOGICAL EDUCATIONAL INSTITUTE OF CRETE
Greece

EU contribution: EUR 332 000


STAVROMENOS
710 04 IRAKLEIO
Greece
Administrative contact: Aristidis Milakis
Tel.: +30 2810 379315
E-mail
MAXELER TECHNOLOGIES LIMITED
United Kingdom

EU contribution: EUR 354 000


Down Place 1
W6 9JH London
United Kingdom
Administrative contact: Oliver Pell
Tel.: +44 2087626196
E-mail
ARM LIMITED
United Kingdom

EU contribution: EUR 590 000


110 FULBOURN ROAD
CB1 9NJ CAMBRIDGE
United Kingdom
Administrative contact: Bruno Jansen
Tel.: +44 1223 400916
Fax: +44 1223 400410
E-mail
Record Number: 109227 / Last updated on: 2016-04-11