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The Next 100 Optimizing Compilers

Objective

Ideally, advances in hardware design would directly translate to performance or energy improvements in software. In reality, this involves a manual process of tuning a sophisticated production compiler or hardware-specific rewriting of code. This process is challenging even for the few experts who possess the required range of skills. Moreover, any errors introduced in this process affect the entire software stack and likely compromise its reliability and security.

The aim of this project is to enable software to take full advantage of the capabilities of emerging microprocessor designs without modifying the compiler.

Towards this end, we propose a new approach to code generation and optimization. Our approach uses constraint solving in a novel way to generate efficient code for modern architectures and guarantee that the generated code correctly implements the source code.

Unlike existing superoptimization and synthesis methods, our approach shifts the entire search problem into the solver. Tight integration with the solver provides a way to reuse reasoning steps and guide the solver using domain specific
information about the input program and the target architecture.

This approach paves the way to employing recent advances in SMT solvers and has the potential to advance SMT solvers
further by providing a new category of challenging benchmarks that come from an industrial application domain.

I expect this project to revolutionize the way compilers perform hardware-specific optimizations. It will eliminate an entire class of software errors and unrealized potential performance gains caused by modern optimizing compilers. It will also aid hardware designers by providing greater flexibility for design explorations and faster deployment of new hardware. Thus, this project will lead to significant improvement in performance and stability of software systems, as well as a fundamental impact on several scientific fields.

Fields of science (EuroSciVoc)

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

ERC-STG - Starting Grant

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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) ERC-2018-STG

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Host institution

QUEEN MARY UNIVERSITY OF LONDON
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.

€ 1 500 000,00
Address
327 MILE END ROAD
E1 4NS LONDON
United Kingdom

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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.

€ 1 500 000,00

Beneficiaries (1)

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