Project description
Improving efficiency for smart applications
From robots to wearables, our society is poised to experience a new wave of smart applications, which will require embedded devices with increased intelligence at a reduced energy and latency cost. However, the slow development cycle of processor chips in comparison to algorithms creates a ‘hardware lottery’, where available hardware platforms determine the selection of algorithms. This innovation deadlock limits efficiency and narrows the market to a few large companies. Funded by the European Research Council, the BINGO project will break this deadlock. It proposes heterogeneous compute platform customisation for a given AI workload in a matter of days through rapid selection and assembly of prefabricated co-processor chiplets. This breakthrough will enable efficient execution of new algorithms.
Objective
The next wave of smart applications in our society will need embedded devices (robots, wearables, etc.) with increased intelligence at much reduced energy and latency cost. Compared to current embedded platforms, up to 1000x efficiency gains could be achieved through tight processor-algorithm co-optimization. However, due to the slow development cycle of processor chips (many months to years) in comparison to algorithms (hours to weeks), this co-optimization today merely boils down to selecting algorithms which run well on mature, available hardware. As these processors and their tooling have been optimized for mature algorithms, not the inherently best algorithm wins, but the one that happens to best fit the available old-school hardware platforms. This hardware lottery holds back innovation, severely impacts embedded AI execution efficiency, and narrows the market to a few large companies.
The BINGO vision to break this innovation deadlock is to enable heterogeneous compute platform customization for a given AI workload in a matter of days (100x faster), through rapid selection and assembly of prefabricated co-processor chiplets. This needs breakthroughs in:
a.) A library of embedded-AI-optimized co-processor chiplets, surpassing the SotA in terms of dataflow heterogeneity for improved efficiency (100x over CPU); and inter-operability in heterogeneous chiplet meshes on a reusable breadboard interposer.
b.) Rapid cost models and workload schedulers for beyond-SotA heterogeneous platform customization: automatically deriving the optimal chiplet combination for an application, assemble it and deploy, all in a few days.
Optimizing across the disciplines of chip design, computer architecture, scheduling, and AI fits perfectly to my expertise gained at KU Leuven, imec and Intel. It will stimulate a surge of embedded AI innovations, enable efficient execution of new algorithms, and bring the EU back at the forefront of chip design and embedded AI research.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-COG
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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.
3000 LEUVEN
Belgium
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.