Search Results for "gpu max performance" - Page 2

RAD Kernel is a custom linux kernel for whyred (Redmi Note 5 Pro/AI) that contains all features you need and aims for best balance between performance and battery.

Join official telegram group: https://t.me/luciferkernel Kernel stage Changed to Beta. Features: →Added F2FS Rapid Gc. → CPU OC to 3.1Mhz (OC Build Only) → GPU OC to 850Mhz (OC Build Only) → Reduced GPU idle time to 64ms → Added DTS-Eagle. → CPU undervolted upto 10% → Improved thermals. → Added Sound tweaks. → Added Boeffla Wakelocker → Added State Notifier → Added Adreno Idler → Added Adreno Boost → Added dynamic SchedTune boost. → Added Klapse → Added KCAL → Added BFQ I/O scheduler →Upstreamed to 4.9.232 →Added gcam7+ support (experimental) thanks to @mtpiplod →Fixed certain errors →Built with Proton Clang 12 For Non-OC except Overclocked CPU , GPU and some performance schedulers everything is same

Modification of the existing ported google camera to make it more optimal and stable on the ASUS Zenfone Max Pro M1 device.

...The project is designed for real-time communication and live broadcasting applications, offering low-latency streaming and compatibility with standard RTMP servers and CDNs. It integrates support for multiple protocols such as RTMP, HLS, HTTP, and RTSP, enabling flexible streaming scenarios. The framework also includes features like GPU-based filters, screen sharing, custom rendering pipelines, and multi-stream playback, making it adaptable for complex media applications. With a focus on performance optimization and minimal resource usage, it serves as a practical reference for building production-ready streaming systems.

...Hardcoder framework can averagely optimize the performance of Wechat by 10%-30% in terms of Wechat startup, video delivery, mini program startup, and other highly-loaded scenes. Furthermore, it could also averagely optimize the performance of Mobile QQ by 10%-50% in terms of mobile QQ startup.

Bullet is real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. Jvm port of Bullet, by Erwin Coumans. Take a look at the tests to see what has been ported and tested to be working. A high-end desktop GPU, such as an AMD Radeon 7970 or NVIDIA GTX 680 or better. We succesfully tested the software under Windows, Linux and Mac OSX. The software currently doesn't work on OpenCL CPU devices. It might run on a laptop GPU but performance will not likely be very good. Note that often an OpenCL drivers fails to compile a kernel. Some unit tests exist to track down the issue, but more work is required to cover all OpenCL kernels.

...The project also integrates advanced techniques like object pooling for performance, bitmap fonts for efficient text rendering, and Starling’s particle system extension for visual effects. Though originally built with the iPad 1 and 2 in mind, it can be adapted to multiple devices by adjusting configuration files, emphasizing the principle of “one code, multi-screen.”

broodKernel is a kernel that is always based on the latest i9001 kernel, the big difference between an other custom kernel is that broodKernel keeps the original zImage. This means that all stock features are available, in order to tweak it I added a lot of tweaks to the kernels ramdisk. next to the ramdisk tweaks there are 2 init.d scripts which allow you to manage broodKernel the way you want. Visit the github here: https://github.com/broodplank/broodKernel