English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Data-intensive applications are poised to benefit directly fromprocessing-in-memory platforms, such as memristive Memory Processing Units,which allow leveraging data locality and performing stateful logic operations.Developing design automation flows for such platforms is a challenging andhighly relevant research problem. In this work, we investigate the problem ofminimizing delay under arbitrary area constraint for MAGIC-based in-memorycomputing platforms. We propose an end-to-end area constrained technologymapping framework, CONTRA. CONTRA uses Look-Up Table(LUT) based mapping of theinput function on the crossbar array to maximize parallel operations and uses anovel search technique to move data optimally inside the array. CONTRA supportsbenchmarks in a variety of formats, along with crossbar dimensions as input togenerate MAGIC instructions. CONTRA scales for large benchmarks, asdemonstrated by our experiments. CONTRA allows mapping benchmarks to smallercrossbar dimensions than achieved by any other technique before, while allowinga wide variety of area-delay trade-offs. CONTRA improves the composite metricof area-delay product by 2.1x to 13.1x compared to seven existing technologymapping approaches.

CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit