92 articles on Performance Profiling for Android performance
Showing 20 of 92 articles (Page 1 of 5)
Rahul Ravikumar explores how Kotlin's null-safety intrinsic checks create unnecessary runtime overhead on Android. The article explains how R8 in Android Gradle Plugin 9.0 optimizes these checks by replacing ve...
Advanced optimization techniques and best practices for using HashMap and Set in Kotlin for improved app performance.
Callstack deep dives into profiling the MLC-LLM inference engine on Android, uncovering GPU-specific performance issues with OpenCL on Adreno and Mali chips.
Guide on using Kotlin Notebooks to analyze performance benchmarks, relevant to mobile app performance measurement.
Comprehensive roundup of Android's Performance Spotlight Week covering R8 optimizer, Baseline Profiles, Jetpack Compose performance, measurement guidance, and debugging tools with case studies from Reddit and D...
All week long, we're providing you with low-effort, high-impact tools and guidance to get your app on the fast track to better performance. We help you lay the foundation and then dive deeper into helping your ...
WhatsApp/Messenger moved key models on-device; reduced model load & inference time and improved ANR metrics. (Engineering at Meta)
Duolingo reveals how 200+ A/B tests on Android performance reduced 5-second startup rates from 39% to 8% on entry-level devices, driving hundreds of thousands of daily active user gains.
Techniques for profiling and analyzing native code performance in React Native using Tracy profiler.
Suppose you just saw an interesting rise or drop in one of your key metrics. Why did that happen? It’s an easy question to ask, but much harder to answer.
Describes implementation of built-in performance monitoring and insights for Unity mobile development.
Our GrabX clients noticed that the GrabX SDK tended to require high memory and CPU usage. From this, we saw opportunities for further improvements that could:
Covers profiling techniques and tools for analyzing and optimizing mobile app startup performance.
Skeelo taps Baseline Profiles to speed up their Android app nicely.
Skeelo tunes Node.js concurrency to keep their app humming along.
DeliveryHero uses Baseline Profiles to make Android apps start faster.
Advanced techniques and performance optimization insights for Android chat applications.
Strategies and insights for optimizing real-time chat performance on Android applications.
Covers methodologies and tools for measuring and monitoring performance metrics in native mobile applications.
Details improvements to performance measurement and scoring accuracy in monitoring systems.