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Скачать или смотреть Accelerate Your Data Processing: Optimizing UINT16 to UINT8 Conversion

  • vlogize
  • 2025-10-09
  • 0
Accelerate Your Data Processing: Optimizing UINT16 to UINT8 Conversion
Faster way for extracting and combining bits from UINT16 to UINT8algorithmassemblyoptimizationdspic
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Описание к видео Accelerate Your Data Processing: Optimizing UINT16 to UINT8 Conversion

Discover a faster technique for extracting and combining bits from `UINT16` to `UINT8` for efficient microcontroller programming.
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This video is based on the question https://stackoverflow.com/q/64749088/ asked by the user 'bkausbk' ( https://stackoverflow.com/u/575491/ ) and on the answer https://stackoverflow.com/a/64750260/ provided by the user 'Ian Abbott' ( https://stackoverflow.com/u/5264491/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Faster way for extracting and combining bits from UINT16 to UINT8

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Accelerate Your Data Processing: Optimizing UINT16 to UINT8 Conversion

When working with data types in embedded systems or digital signal processing applications, you might often need to extract and combine bits from a larger data type. For those using the dsPIC33F microcontroller, achieving speed is crucial. One common operation involves compressing a UINT16 (16 bits) down to a UINT8 (8 bits) by utilizing pairs of bits. In this post, we’ll explore the problem and present an efficient solution to optimize this operation.

Understanding the Problem

The basic task is to combine pairs of bits from a UINT16 value, where each set of two bits contributes to a single bit in the resulting UINT8 value. The logic behind the operation is straightforward:

Each bit in the output is formed by ORing two corresponding bits from the input UINT16:

A = A0 OR A1

B = B0 OR B1

C = C0 OR C1

D = D0 OR D1

Below is a simplified representation of the bit combinations:

[[See Video to Reveal this Text or Code Snippet]]

Initially, a simple implementation in C might produce several instructions — around 40 with optimization level O3 — resulting in a performance hit of approximately 1µs. Here, the goal is to reduce the instruction cycles to achieve a faster execution time.

A Faster Solution

To optimize this bit-pairing operation, we can apply bitwise manipulation techniques. Here’s a step-by-step breakdown of a new approach that significantly cuts down the instruction count:

Stage 1: Pairing Even Bits

This code sets the even-numbered bits in PairFlags by ORing the original bits with their right-shifted version:

[[See Video to Reveal this Text or Code Snippet]]

Stage 2: Compressing the Pairs

Next, we compress the paired bits down to single bits:

[[See Video to Reveal this Text or Code Snippet]]

Stage 3: Further Compression

Continuing the compression, we apply operations that eliminate more bits:

[[See Video to Reveal this Text or Code Snippet]]

Important Note: In the above code, the ^ operator can be substituted with | to achieve the same compression effect.

Conclusion

By utilizing these steps, you can convert a UINT16 to a UINT8 in a much more efficient manner, significantly reducing the instruction cycles needed for execution. This method is optimal for implementations on microcontrollers such as the dsPIC33F, where each microsecond saved enhances overall system performance. Embracing these techniques can lead to more responsive and efficient applications in embedded systems.



This optimization not only streamlines your code but also enhances the speed of your data processing operations, allowing you to leverage the full potential of your microcontroller. For developers dealing with tight constraints, such improvements can make a significant difference.

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