ALGORITMICAS TECHNICALS FOR HIGH PERFORMANCE COMPUTATION CONSCIOUS OF ENERGY CONSUMPTION AND RESISTANT TO ERRORS

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Multi-regional Spain - ERDF (2014ES16RFOP002), managing authority: Subdirección General de Gestión del FEDER, de la Dirección General de Fondos Europeos del Ministerio de Hacienda.. The source names no beneficiary for this operation. Location: Castellón (NUTS ES522); Spain. Budget: total eligible expenditure EUR 217,800; EU co-financing EUR 108,900 (co-financing rate 50%), as stated by the source. Runs 2018-01-01 to 2021-09-30. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS); selected because its summary names quantum technology. Summary from Kohesio (English machine translation by the source): THE INCREASE OF THE NUMBER OF TRANSISTORS IN INTEGRATED CIRCUITS COMBINED WITH THE END OF DENNARD'S SCALING HAS POSITIONED ENERGY CONSUMPTION AS THE PRIMARY FACTOR THAT CONSTRAINS THE PERFORMANCE OF CURRENT COMPUTER SYSTEMS, PROMOTING THE USE OF HETEROGENEOUS COMPUTERS. IN THIS SCENARIO, THE PROJECT TACCERE WILL CONTRIBUTE, AS A GENERAL OBJECTIVE, TO THE DESIGN AND DEVELOPMENT OF ALGORITHMIC TECHNIQUES, PROGRAMMING INTERFACES AND TOOLS, COMPUTATIONAL KERNELS, LIBRARIES OF ALGORITHMS AND RUNTIME FRAMEWORKS, THAT REDUCE ENERGY CONSUMPTION, INCREASE RESILIENCE TO ERRORS, AND IMPROVE PRODUCTIVITY IN THE DEVELOPMENT OF APPLICATIONS THAT DEAL WITH VAST AMOUNTS OF DATA AND EXHIBIT IRREGULAR PARALLEL PATTERNS. AS A GENERIC COMPUTER TARGET, THE PROJECT WILL CONSIDER AN HETEROGENEOUS PARALLEL ARCHITECTURE, DUE TO THE ENERGY EFFICIENCY ADVANTAGE OF THIS TYPE OF SYSTEMS, TOGETHER WITH A HYBRID MPI+X PROGRAMMING MODEL, WHERE X CAN BE REPLACED BY ANY OF THE CURRENT MULTI-THREADED PROGRAMMING LANGUAGES SUCH AS OPENMP, OPENACC, OPENCL, CUDA, ETC. ACHIEVING THE GOALS OF THE PROJECT WILL REQUIRE AN INTENSIVE RESEARCH ACTIVITY IN TOPICS SUCH AS BALANCING ENERGY CONSUMPTION-ERRORS-FAULT TOLERANCE, MALLEABILITY OF COMPUTATIONAL RESOURCES, INTEROPERABILITY OF PROGRAMMING MODELS, APPROXIMATE COMPUTING TECHNIQUES, AND COMMUNICATION-AVOIDING ALGORITHMS, AMONG OTHERS. AS AN ADDITIONAL CONTRIBUTION, THE PROJECT WILL PROVIDE SOLUTIONS TO THREE INTERDISCIPLINARY APPLICATIONS, IN COLLABORATION WITH RESEARCH GROUPS THAT CONDUCT THEIR INVESTIGATION IN QUANTUM MECHANICS, COMPUTATIONAL BIOLOGY AND SIGNAL PROCESSING.

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: The project TACCERE, co-funded by the EU under the ERDF, aims to design and develop algorithmic techniques and programming interfaces for high-performance computation while considering energy consumption and error resistance. It is located in Castellón, Spain, with a budget of EUR 217,800. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.