NLAFETProject ID: 671633
Parallel Numerical Linear Algebra for Future Extreme-Scale Systems
Total cost:EUR 3 907 375
EU contribution:EUR 3 907 375
Topic(s):FETHPC-1-2014 - HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications
Call for proposal:H2020-FETHPC-2014See other projects for this call
Funding scheme:RIA - Research and Innovation action
The NLAFET proposal is a direct response to the demands for new mathematical and algorithmic approaches for applications on extreme scale systems, as identified in the FETHPC work programme and call. This project will enable a radical improvement in the performance and scalability of a wide range of real-world applications relying on linear algebra software, by developing novel architecture-aware algorithms and software libraries, and the supporting runtime capabilities to achieve scalable performance and resilience on heterogeneous architectures. The focus is on a critical set of fundamental linear algebra operations including direct and iterative solvers for dense and sparse linear systems of equations and eigenvalue problems. Achieving this requires a co-design effort due to the characteristics and overwhelming complexity and immense scale of such systems. Recognized experts in algorithm design and theory, parallelism, and auto-tuning will work together to explore and negotiate the necessary tradeoffs.
The main research objectives are:
(i) development of novel algorithms that expose as much parallelism as possible, exploit heterogeneity, avoid communication bottlenecks, respond to escalating fault rates, and help meet emerging power constraints;
(ii) exploration of advanced scheduling strategies and runtime systems focusing on the extreme scale and strong scalability in multi/many-core and hybrid environments;
(iii) design and evaluation of novel strategies and software support for both offline and online auto-tuning.
The validation and dissemination of results will be done by integrating new software solutions into challenging scientific applications in materials science, power systems, study of energy solutions, and data analysis in astrophysics. The deliverables also include a sustainable set of methods and tools for cross-cutting issues such as scheduling, auto-tuning, and algorithm-based fault tolerance packaged into open-source library modules.
EU contribution: EUR 1 207 500
SE-901 87 Umea
EU contribution: EUR 927 375
OXFORD ROAD UNIVERSITY OF MANCHESTER OFFICE OF DIRECTOR OF FINANCE
M13 9PL MANCHESTER
EU contribution: EUR 845 750
DOMAINE DE VOLUCEAU ROCQUENCOURT
78153 LE CHESNAY CEDEX
EU contribution: EUR 926 750
Polaris House North Star Avenue
SN2 1SZ SWINDON