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 Plus annual

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

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Performance tuning of applications for shared-memory multiprocessors is to a great extent concerned with removal of performance bottlenecks caused by communication among the processors. To simplify performance tuning, our approach has been to extend the hardware/software interface with powerful memory-control primitives in combination with compiler optimizations to remove communication bottlenecks in distributed shared-memory multiprocessors. Evaluations have shown that this combination can yield quite dramatic application performance improvements. This raises the fundamental question of how the hardware/software interface in future distributed shared-memory machines should be defined to serve as a good target for performance tuning of shared-memory programs, either automatically or by hand. An approach along those lines is discussed.

A performance tuning approach for shared-memory multiprocessors