CORDIS Project
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The Near Memory Computing project aims to enhance data processing by integrating memory and computation through innovative architectures and reconfigurable accelerators. This approach addresses the slow communication and access times that hinder big data applications.
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 reconfigura…
TECHNISCHE UNIVERSITEIT EINDHOVEN
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Switzerland, Rueschlikon
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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