Project description
Advanced Computing, embedded and Control Systems
NanoStreams co-designs a micro-server architecture and software stack that address the unique challenges of hybrid transactional-analytical workloads, which are encountered by emerging applications of real-time big-data analytics. To this end, NanoStreams brings together embedded system design principles, application-specific compilers, and HPC software practices.
The processor technology that underpins the NanoStreams micro-server is an amalgam of RISC cores and nano-cores, a new class of programmable custom accelerators. Novel automatic compiler generation and parameterization technology enables low-effort programming and integration of nano-cores into application-specific, many-core accelerators. The proposed heterogeneous Analytics-on-Chip processor forms the backbone of the NanoStreams micro-server, which further leverages a hybrid DRAM-PCRAM memory system and a non-cache-coherent scale-out architecture to achieve extreme energy-efficiency.
The software stack of the NanoStreams micro-server is rooted in domain-specific languages for analytical queries, which the project implements with a streaming dataflow execution model. The language runtime system uses real-time scheduling, performance isolation techniques and region-based memory management to minimize latency on the transactional path and maximize throughput on the analytical path. NanoStreams virtualizes lightweight PCRAM-based persistent memory, for direct user access and locality optimization.
The project will deliver a real-silicon prototype, based on the Xilinx Zynq platform and ARM-Linux. The quantitative objective of NanoStreams, in comparison with contemporary HPC servers, is to reduce analytical response time of commercial in-memory databases by at least 30%, while sustaining transactional throughput and improving system energy-efficiency and programmability. NanoStreams will demonstrate these advances with industry-standard workloads and four real-world case studies.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences databases
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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.
Topic(s)
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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.
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.
FP7-ICT-2013-10
See other projects for this call
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.
Coordinator
BT7 1NN BELFAST
United Kingdom
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.