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Source channel @githubtrending · Post #14974 · Jul 19
#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp
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Search: #profiling
@golang · Post #21 · 01/24/2018, 04:10 PM
How to write and use benchmarks? I hope we understand their importance so let’s see couple of thoughts about benchmarks in GoLang: #development#testing#profiling https://medium.com/@hackintoshrao/daily-code-optimization-using-benchmarks-and-profiling-in-golang-gophercon-india-2016-talk-874c8b4dc3c5?source=linkShare-b636419a57de-1516810002
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@githubtrending · Post #14692 · 05/10/2025, 11:30 AM
#cplusplus#gamedev#gamedev_library#gamedevelopment#library#performance#performance_analysis#profiler#profiling#profiling_library Tracy Profiler is a powerful tool that helps you understand how your applications are performing. It can track CPU, GPU, memory usage, and more in real-time with very precise timing. This means you can see exactly where your program is spending time, which helps you make it faster and more efficient. Tracy supports many programming languages and can even capture screenshots of your application's frames. By using Tracy, you can identify and fix performance issues, making your applications run smoother and better. https://github.com/wolfpld/tracy