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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

LLVM has become an integral part of the software-development ecosystem for developing advanced compilers, high-performance computing software and tools. This paper presents a small set of LLVM IR extensions for explicitly parallel vector, and offloading program constructs The proposed LLVM IR extensions enable the lowering and transformation in the LLVM middle-end for the OpenMP® C/C++ and Fortran API, and any other explicitly parallel/simd constructs in high-level source languages. This paper discusses the rationale of the LLVM IR extensions to support OpenMP constructs and clauses, and presents the LLVM intrinsic functions, the framework for parallelization, vectorization, and offloading, and the sandwich scheme to model the OpenMP parallel, simd, offloading and data-attribute semantics under the SSA form. Examples are given to show our implementation in the LLVM middle-end passes, which paves the way to achieve a better interaction with scalar optimizations, vectorization, and loop optimizations, and thus resulting in higher performance.

LLVM Framework and IR Extensions for Parallelization, SIMD Vectorization and Offloading.