# High-speed digital twins: Pushing simulation time-steps into the nanosecond range using Versal ACAP

- Institution: CERN
- Speaker: Pablo Trujillo
- Year: 2026
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3025775)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

In the design and validation of high-speed electrical systems, such as power converters, the fidelity of the electrical model is strictly limited by the minimum achievable time-step. Conventional FPGA-based simulators often operate in the range of microseconds or, at best, several hundred nanoseconds. This limitation can lead to failures in capturing high-speed transients or introduce numerical instabilities caused by the solver constraints.

This presentation explores how combining discretized mathematical models with AMD Versal can be leveraged to push real-time simulations down into the nanosecond range. We will first discuss the creation of high-efficiency RTL models for power converters and their conversion into synthesizable block diagrams. Finally, we will demonstrate how by using the Versal architecture, we can enable the execution of these models at high-speeds, even allowing us to offload part of the instrumentation and measurement logic directly into the FPGA design.

00:00:00 Slide 1

00:00:09 Slide 2

00:01:42 Slide 3

00:03:02 Slide 4

00:05:21 Slide 5

00:07:03 Slide 6

00:08:19 Slide 7

00:09:06 Slide 8

00:10:15 Slide 9

00:11:56 Slide 10

00:13:10 Slide 11

00:14:05 Slide 12

00:14:43 Slide 13

00:15:52 Slide 14

00:17:01 Slide 15

00:17:37 Slide 16

00:18:00 Slide 17

00:18:20 Slide 18

00:18:38 Slide 19

00:19:06 Slide 20

00:19:32 Slide 21

00:19:56 Slide 22

00:20:15 Slide 23

00:20:51 Slide 24

00:21:15 Slide 25

## Lectures

1. [High-speed digital twins: Pushing simulation time-steps into the nanosecond range using Versal ACAP](https://invisiblenetwork.ai/learn/cern/3025775/8d98f5720d65), 31 min (CERN's player)
