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Optimizing Industrial Applications for Heterogeneous HPC systems

Project description

Optimised industrial applications for SMEs

A wide range of services based on advanced technology rely on emerging high-performance computing (HPC) applications. To support the expanding demands for processing power, future HPC systems require accelerators. A promising solution is the use of field-programmable gate array (FPGA) devices that can be reconfigured at any time, implementing tailored-made application accelerators. The EU-funded OPTIMA project, an SME-driven initiative, will use FPGA-populated HPC systems to develop several industrial applications and a set of open source libraries at significantly higher energy efficiency. The project will make it possible for SMEs to beat the competition by more efficiently executing their applications. Ultimately, this will demonstrate the EU’s pioneering position in the development of FPGA-populated HPC systems and applications/libraries.

Objective

In order to support the expanding demands for processing power from emerging HPC applications, within a pragmatic energy envelope, the future HPC systems will incorporate accelerators. One promising approach, towards this end, is the utilization of FPGAs; the main advantage of those devices is that, since they can be reconfigured at any time so as to implement tailor-made application accelerators, their energy efficiency and/or performance, in most of the cases, is much higher than that of CPUs and GPUs.
OPTIMA is an SME-driven project aiming to port and optimize a number of industrial applications as well as a set of open-source libraries, utilized in at least 3 different application domains, to two novel FPGA-populated HPC systems, utilizing several innovative programming environments. It is expected that the applications and the libraries will be executed, in those heterogeneous HPC systems at significantly higher energy-efficiency as described by the Energy Delay Product metric (EDP); in particular, the EDP of the OPTIMA applications and libraries when executed on the targeted FPGA-based HPC systems, is expected to be more than 10x higher than that triggered by CPU-based systems and more than 3x higher than the GPU-based ones.
The main outcomes of OPTIMA will be that: a) the participating SMEs will gain a significant advantage since they will be able to execute their applications much more efficiently than the competition, b) it will be further proved that Europe is at the forefront of developing efficient FPGA-populated HPC systems and application/libraries taking advantage of them, c) the open-source libraries as well as the open-source applications developed within OPTIMA will allow third parties to easily target FPGA-based HPC systems for their application developments, d) there will be an open-to-use HPC infrastructure supported by a specially formed sustainability body.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-JTI-EuroHPC-2019-1

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Coordinator

POLYTECHNEIO KRITIS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 174 500,00
Address
BUILDING E4, TECHNICAL UNIVERSITY CAMPUS COUNOUPIDIANA
731 00 CHANIA
Greece

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Region
Νησιά Αιγαίου Κρήτη Χανιά
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 349 000,00

Participants (9)

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