Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Open Source FPGA NVMe Accelerator Platform for BPF Driven ML Processing with Linux - Zephyr

Linux Plumbers Conference via YouTube

Overview

Explore an innovative open-source FPGA NVMe accelerator platform designed for BPF-driven machine learning processing in Linux and Zephyr environments. This conference talk delves into the architecture and implementation of a cutting-edge solution that combines the power of Field-Programmable Gate Arrays (FPGAs) with NVMe storage technology to enhance ML processing capabilities. Learn about the integration of Berkeley Packet Filter (BPF) technology and its application in driving machine learning workloads. Gain insights into how this platform leverages the flexibility of open-source development to create a powerful accelerator for data-intensive ML tasks. Discover the potential impact of this technology on improving performance and efficiency in Linux and Zephyr-based systems.

Syllabus

Open source FPGA NVMe accelerator platform for BPF driven ML processing with Linux/... Karol Gugala

Taught by

Linux Plumbers Conference

Reviews

Start your review of Open Source FPGA NVMe Accelerator Platform for BPF Driven ML Processing with Linux - Zephyr

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.