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Optimized the ZRLE decoder by applying strength reduction to tight loops and reducing function call overhead in the byte-reading hot path. Key changes: - Refactored `decodeTile` to accept a pre-calculated `tileRowBase`, eliminating redundant coordinate arithmetic at the start of every tile. - Replaced integer division (/), modulo (%), and repeated multiplications (*) with incremental `rowBase` and `currCol` counters in all subencoding handlers (Raw, Solid, Packed Palette, Plain RLE, and Palette RLE). - Optimized `ZInput.readByte()` by checking buffer availability locally before calling the more expensive `fill()` method. These optimizations are particularly effective on ARM architectures (Android) where division and modulo operations can take dozens of CPU cycles compared to a single cycle for addition. Co-authored-by: kimocoder <4252297+kimocoder@users.noreply.github.com>
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💡 What: Optimized ZRLE decoding loops and pixel reading in
ZrleDecoder.kt.🎯 Why: On mobile ARM architectures, integer division, modulo, and repeated multiplications in tight graphics loops are significant bottlenecks. Additionally, checking for buffer availability on every byte read via a separate function call adds unnecessary overhead in the decompression hot path.
📊 Impact: Significantly reduces CPU cycle consumption during ZRLE frame updates by eliminating expensive arithmetic operations and reducing function call overhead. This leads to smoother frame rates and lower battery impact during remote desktop sessions.
🔬 Measurement: Verified correctness by running the full unit test suite for the app module (
./gradlew :app:testDebugUnitTest), specifically theZrleDecoderTestcases. Performance gains are architectural and based on standard ARM optimization patterns.PR created automatically by Jules for task 5937804518098135333 started by @kimocoder