Відео

Nice 👍🏾

Thank you for your interest! I'm using an Intel(R) Xeon(R) Gold 6244 CPU @ 3.60GHz, which supports AVX-512 instructions, for this project. Here’s a breakdown addressing your queries: Type of Computer: Processor: Intel(R) Xeon(R) Gold 6244 CPU @ 3.60GHz Reason for Choice: The cloud platform I am working on uses this chipset, so I don't have the option to use something else. Nevertheless, this is a very capable server CPU with the AVX-512 instruction set, providing powerful vector processing capabilities. Compatibility with M Series Environment (Apple Silicon): The Apple M series processors use a different architecture (ARM-based) compared to Intel’s x86 architecture. While you can run similar computational tasks on Apple M series chips, you'd need to use ARM-optimized libraries and possibly rewrite some parts of the code. Apple’s M1 and M2 chips are very capable, but they don't support AVX-512, so performance characteristics will differ. Compatibility with AMD 7800X3d: The AMD 7800X3d is a powerful CPU with strong multi-threading performance. It does support AVX-512, so you should be able to leverage these instructions for HPC workloads. Using AMD GPU for Matrix Calculations: AMD GPUs can be excellent for matrix calculations, especially with libraries like ROCm (Radeon Open Compute) and frameworks like TensorFlow and PyTorch, which support GPU acceleration. Leveraging the parallel processing power of a GPU can significantly speed up matrix operations and other compute-intensive tasks. Future Plans: I am planning on working with the Intel GPU Max Series on the Intel cloud platform to see how it performs. I will also try to leverage their Gaudi 3 accelerators for some AI work I am planning. This will be featured in one of my next videos, so stay tuned! Summary: While Intel’s Xeon CPUs with AVX-512 provide high performance for these tasks, both the Apple M series and AMD 7800X3d can handle HPC workloads well. Code running on Intel Xeons would run on the AMD 7800X3d with little to no modification due to the compatibility of similar instruction sets. Using an AMD GPU for matrix calculations is also a great idea for leveraging additional computational power. Hope this help!

@@antshivrobotics Thanks this is very helpful.

May be check out part one of that helps? ua-cam.com/video/w42bsZQpnEg/v-deo.htmlsi=Tg6Y-Afxc2iIJ3L6

I haven't tried to program this board and I also don't think you can. Are you talking about interfacing with this board using python? If you are using a linux system, you can follow the official documentation - You can follow these instructions: ww1.microchip.com/downloads/aemDocuments/documents/OTH/ProductDocuments/SoftwareLibraries/Firmware/MCP2200_MCP2221_CDC_Linux_Readme.txt and then perhaps use pyserial?

sure. I will add that to my list of videos to do.

Thank you so much 👍

Sure. Let me upload the code Shortly.

I have the repo in github and posted the link in the description too. github.com/antshiv/antennaDesign

sorry, I haven't tried interfacing any lcd yet.

I am not sure to be honest. I believe you can simulate different settings and find the one appropriate to your use-case.

I don't think so. The Nrf53 should automatically program the end device if the debug out pins are connected.

I haven't programmed much in C++ tbh.

Yeah, Zephyr is definitely complicated. FreeRTOS is a great alternative and a lot easier to get started with. Use the best tools for the job is my recommendation.

Are you referring specifically to how matter works or in general how those protocols work. For matter, Bluetooth is required to make the initial connection between the matter controller and the matter devices. It programs the necessary nodes, protocol etc. Once that is established the edges are controlled using the protocol established (thread, wifi, etc )

I would also watch some deep dives into particular subsystems

Thanks, will do!

Few videos that might interest you: Mathematical model of a Quadcopoter - Part 1 - ua-cam.com/video/9eyQyCqHOyg/v-deo.html&ab_channel=ANTSHIVROBOTICS All about hover - ua-cam.com/video/rAVJOXzKGKw/v-deo.html&ab_channel=ANTSHIVROBOTICS Profile Power - ua-cam.com/video/CPQsVjCgq4Q/v-deo.html&ab_channel=ANTSHIVROBOTICS

Any particular suggestions you have in mind? Devicetrees, threads, timers etc ?

Thank you! Any request on what you would like to learn ?

@@antshivrobotics complete C concepts with 1 or 2 examples, UA-cam is full of basic c concepts, need some advanced topics.

The driver for the BMP585 is available from Bosch. It should be straight forward to port it to an Arduino or esp32 similar to what I have done for the Nrf53.

Are you using Zephyr with any particular MCU? If you are working on developing the Zephyr RTOS itself ask the zephyr community in their discord channel for help. In this case I am using the Nordic semi SDK which runs on Zephyr and works on the vs code ide. Nordic has pretty much done all the heavy lifting. I have just followed their guide to get it all working.

Glad it helped.

You'll do just fine. C/C++ demand will always be there inspite of what others say.

That's awesome!

Awesome!

You're welcome 🤗