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Near Memory Computing

Objective

Near Memory Computing: Major bottlenecks for future computation is the slow communication over slow interconnects between big data memories and big data processing and also the slow overhead of data memory accesses. The NeMeCo EID network aims at solving this problem by proposing fundamentally different architectures, integrating computation and memory, and using reconfigurable accelerators. Research topics of this project are: new, non-Von-Neumann architectures,
automated design of reconfigurable accelerators, advanced memory hierarchy based on both volatile and non-volatile memory components, and corresponding compiler, algorithmic optimization and mapping techniques.

Field of science

  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/data science/data processing

Call for proposal

H2020-MSCA-ITN-2015
See other projects for this call

Funding Scheme

MSCA-ITN-EID - European Industrial Doctorates

Coordinator

TECHNISCHE UNIVERSITEIT EINDHOVEN
Address
Groene Loper 3
5612 AE Eindhoven
Netherlands
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 766 122,84

Participants (1)

IBM RESEARCH GMBH
Switzerland
EU contribution
€ 0
Address
Saeumerstrasse 4
8803 Rueschlikon
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)