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/

Global: Zendy Tools annual

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

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

TAPS is a Topology-Aware intra-operator Parallelism strategy Searchingalgorithm that generates intra-operator parallelism strategies by consideringboth intra-node and inter-node bandwidth. Most of the existing auto-parallelismworks use the communication volume as the communication cost directly whengenerating strategies, which we prove to be sub-optimal in multi-nodes cases.We design a topology-aware cost model for multi-node intra-operator parallelismstrategy searching. Numerical experiments demonstrate that TAPS can generatestrategies with up to 85% fewer communication costs, which outperform thelatest baselines.

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks