hands-on agenda

12:00-13:00 was a lunch break and we had a light meal.

Why did we hold Jetson Nano Linux Hands-on?

At the beginning, Toba from Macnica gave a greeting. Regarding the background behind planning this event, he said, ``We held this event because we wanted people to know the real challenges of developing AI edge computers.In recent years, high-performance small computers have been released one after another, and services that utilize AI are being developed on edge computers. The number of examples of implementation of AI models on edge computers has increased.Many methods for implementing AI models on edge computers have been published on the Internet, and companies in various industries are working to implement their services in embedded environments. Masu.

However, there are more than a few companies that end up with POC even if they try to implement it in the embedded environment. Although there are multiple factors, one of the major factors we felt while providing support was the lack of basic knowledge for creating embedded products.

Therefore, this time, we would like to give a lecture by NSK, which commercialized AI edge computers with Jetson, and provide an opportunity for customers to acquire the basic knowledge necessary for embedded development. ”

I think it was a moment when the expectations of everyone who participated rose a lot.

Jetson Latest Product Updates

Mr. Tachibana from NVIDIA introduced information that can only be heard here, such as the latest trends at NVIDIA and Jetson Xavier NX, the latest product in the Jetson series.

He introduced some videos that started with the catchphrase "I am ai", and he told us that the BGM used in some of the videos was also composed by AI, which was very interesting. NVIDIA products are used in a variety of situations, such as traffic volume determination, drones and service robots, manufacturing industry inspection equipment and construction machinery for the realization of smart cities, but now they are indispensable as creators. I found out what's going on.

In the latest product introduction, you talked about the latest information on the Jetson series. The high-end model Jetson AGX XAVIER, which has already been released, is equipped with the world's first high-performance processor for autonomous machines. The Jetson Xavier NX is a processor chip that is mounted on a small form factor that is pin-compatible with the Jetson Nano. This is the perfect product for those who have started development with Jetson Nano and want more specs.

Linux course, start!

Mr. Masaki Ishihara of NSK, based on his 20 years of experience in Linux application development, was a lecturer in an embedded Linux course for AI edge computer developers. Although the lecture lasted about three hours, he carefully explained the development flow, technical terms, and the basic knowledge necessary for embedded Linux development.

Start hands-on

For this hands-on training, participants were asked to prepare and bring the following items in advance.

Launch Jetson and connect to PC

Connection with PC

When connecting your PC and Jetson Nano with a USB cable, there were cases where the PC did not recognize the Jetson Nano. At this time, when I restarted Jetson Nano, it started normally.

Execute image processing program (Sobel filter) on CPU/GPU

First, we ran a Sobel filter sample program on the CPU to perform image filtering that emphasizes the borders contained in an image. After that, we changed it to run on the GPU and checked the CPU/GPU usage rate and performance difference at that time. Comparing the measurement time of applying the Sobel filter 1000 times and the processed image, the processing time of the GPU has improved to about 4 times that of the CPU.

The practical training text took about an hour, and everyone completed it and it went smoothly.

Reviewing and supplementing practical training content

Mr. Ishihara of NSK supplemented the know-how that could not be conveyed in a short training program. Among them, in the session "Fundamentals of proper use of CPU/GPU", they enthusiastically explained the programming characteristics unique to GPU using a whiteboard. Many people were enthusiastically taking notes, and he explained the limitations of passing image filtering processing, which GPU is good at, arithmetic processing to CUDA, and how to execute it efficiently.

Need help with embedded Linux development? Contact us

How was the hands-on experience?

Macnica not only acts as a distributor of NVIDIA products, but also collaborates with various partners to help customers solve their problems. If you are starting embedded development using Jetson and have any troubles, please feel free to contact us.