OPTIMA
Optimizing Industrial Applications for Heterogeneous HPC systems
High Performance Computing
In order to support the growing demand for processing power from emerging HPC applications, in an energy-pragmatic wrapper, future HPC systems will incorporate accelerators. One promising approach to this end is the use of field-programmable gate array (FPGA) boards. These devices can be reconfigured at will to customize application accelerators, offering the key advantages of energy efficiency and/or performance, which, in most cases, is far superior to that of CPUs and GPUs. Applications and libraries are expected to run on these heterogeneous HPC systems with significantly greater energy efficiency, as described by the Energy Delay Product (EDP) metric. Specifically, the EDP of OPTIMA applications and libraries running on focused FPGA-based HPC systems should be more than ten times better than that of CPU-based systems and more than three times better than that of GPU-based systems.
OPTIMA is an SME-led project that aims to harness and optimize several industrial applications and a set of open source libraries. These will be used in at least three different application domains on two new HPC systems populated with FPGA integrated circuits and using several innovative programming environments.
OPTIMA’s main outcomes will be:
OPTIMA will deliver the efficiency of FPGA-based technologies in several industrial applications; thus, European industry will benefit from a new class of HPC resources featuring state-of-the-art advancements and truly innovative solutions. These solutions will exploit the new heterogeneous HPC systems and facilitate access to and use of these resources by turning them into an affordable service for everyone from SMEs to large organizations.
EnginSoft is responsible for the specifications for all the applications and for the Lattice Boltzmann methods (LBM) in computational fluid dynamics (CFD) domains.
This method models fluids with dummy particles that perform propagation and collision processes on a discrete lattice mesh. LBM offers advantages over traditional Navier-Stokes equation solvers in the form of exceptional scalability, robust treatment of complex constraints, and the ability to perform larger time steps.
The LBM code used is a general-purpose fluid dynamics solver optimized for modern multi-core processors, particularly graphics processing units (GPUs). The solver is based on the Lattice Boltzmann Method, which is conceptually quite simple to understand and which scales very well over increasing computational resources.
The OPTIMA project will port the code to, and deploy it on, FPGA systems to accelerate the solution and leverage multi-FPGA systems.
TSI | CYBERBOTICS | FRAUNHOFER | EXAPSYS | ICCS | M3E | MAXELER | JULICH | ENGINSOFT | APPENTRA
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No. 955739.
The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Greece, Germany, Italy, the Netherlands, Spain, Switzerland.
33 months
March 2021 – November 2023
TSI (Greek Telecommunication Systems Institute)
Gino Perna – Marisa Zanotti
10
Some of our competences in research and technology transfer
Research project
The objective was to design, study and characterize the atmospheric sub-system of a Plant Control Unit and its processes related to crop growth. The atmosphere of the plant-related environment had to be homogeneous and meet the plants’ requirements.
Research project
The AGILE project arises from the discussions within the Veneto system of companies and research organizations, and from a post-emergency perspective, identifies as its strategic approach the capacity for an "agile" reconversion of production systems through the application of advanced solutions for product innovation. It forms part of the "Smart Manufacturing" specialization strategy.
