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Using Teigha Low-Level and High-Level Multithreading APIs Together

This article describes Teigha Kernel Multithreading functionality. This is addition for previous two articles about multithreading. It is describes usage of combination of low-level and high-level API’s. Previous two articles describe usage of high-level and low-level multithreading API’s separately.

performance getting started Example

Teigha Multithreading Low-Level API (Part 3 of 4)

This article is part of a series about the low-level API used for multithreading.

performance Example getting started

Teigha Multithreading Low-Level API (Part 2 of 4)

This article is part of a series about the low-level API used for multithreading.

performance Example getting started

Teigha Multithreading Low-Level API (Part 1 of 4)

In previous blog articles we described Teigha’s high-level multithreading API (Teigha Thread Pool Services), and how using it, Teigha-based applications can invoke multithreading operations with a minimal number of calls and helper data structures.

performance Example getting started

Teigha Multithreading High-Level API (Part 3 of 3)

This article is part of a series of articles about the Thread Pool Services interface used for multithreading.

performance getting started Example

Teigha Multithreading High-Level API (Part 2 of 3)

This article is part of a series of articles about the Thread Pool Services interface used for multithreading.

performance getting started Example

Teigha Multithreading High-Level API (Part 1 of 3)

Teigha Kernel provides a simple and powerful high-level cross-platform API called Thread Pool Services which is used for invoking multithreading functionality inside Teigha-based applications and libraries. Thread Pool Services is provided by Teigha Kernel as a separate extension module that can be loaded on demand.

performance getting started Example

Graphic System Overlays

Complex graphic scenes with a large number of elements are sometimes drawn slowly. In this case, dynamic graphic elements (such as cursors, grip/snap points, selection rectangles, user interface elements, and so on) are drawn slowly too because to correctly combine graphic scenes and dynamic graphic elements, the renderer must redraw all underlying scene elements.

rendering performance Example

Teigha BIM: Measuring Performance and Memory Allocation

Teigha BIM has a test, TB_PerfTest, that measures performance and memory consumption.
Performance can be measured in four modes:
• Reading
• Writing
• Rendering
• Rendering and writing

rvt rfa performance

Using Incremental Saving for .dwg Files

When working with large .dwg files, sometimes a full save can be slow. Teigha has a new incremental file saving feature for .dwg files that saves only modified data, which is faster than a full save for large files that don’t contain a lot of modifications.

Teigha provides two methods to perform the incremental file save:

performance Example