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

Specialized Digital Signal Processors (DSPs), which can be found in a wide range of modern devices, play an important role in power-efficient, high-performance image processing. Applications including camera sensor post-processing and computer vision benefit from being (partially) mapped onto such DSPs. However, due to their specialized instruction sets and dependence on low-level code optimization, developing applications for DSPs is more time-consuming and error-prone than for general-purpose processors. Halide is a domain-specific language (DSL) that enables low-effort development of portable, high-performance imaging pipelines—a combination of qualities that is hard, if not impossible, to find among DSP programming models. We propose a set of extensions and modifications to Halide to generate code for DSP C compilers, focusing specifically on diverse SIMD target instruction sets and heterogeneous scratchpad memory hierarchies. We implement said techniques for a commercial DSP found in an Intel Image Processing Unit (IPU), demonstrating that this solution can be used to achieve performance within 20% of highly tuned, manually written C code, while leading to a reduction in code complexity. By comparing performance of Halide algorithms using our solution to results on CPU and GPU targets, we confirm the value of using DSP targets with Halide.

Extending Halide to Improve Software Development for Imaging DSPs