Sriram Ramkrishna

AI workloads and data pipelines are rapidly growing in their demand for computing power. Accelerated computing can help maximize our ability to not just run AI models, but also maximize how quickly we can capture and extract useful information from data sources. Until recently, accelerated programming has been focused on proprietary programming models, but this is changing. oneAPI is an open, cross-industry, standards-based, unified, multiarchitecture, multi-vendor programming model that allows you to write code and target all accelerators - GPUs, CPUs and FPGAs. oneAPI is already used to accelerate AI frameworks. With oneAPI it is also possible to write accelerated data processing code to rapidly capture and transform your data. This talk will provide examples of how oneAPI enables performant data processing, how the project is organized and the open governance model. We will also discuss the oneAPI community. You should expect to come away with a sense of what oneAPI is and fresh ideas on what new capabilities it enables.

Join us for an unconference session on Diversity, Equity, and Inclusion (DEI) and Free and Open Source Software (FOSS). For this session, we have no topics prepared because we are following an unconference format. This means that we will have participant-driven discussions. Participants can offer to host a small-group discussion on a topic they care about; no expertise is required, only personal experience and interest. After the small-group discussions, we will have report-outs to all participants to share what we learned with everyone. Everyone can participate to their level of comfort and is not required to share experiences or talk. This session is open to everyone.

Other people: Georg Link

It's been a long held notion that having standardized testing across the various near metal projects. With standardized testing, we can build a testing framework to test platforms that have open hardware components across coreboot, linuxboot, u-root and so on. With these in place we would be able to thoroughly test all platforms that use these ecosystems. Furthermore by agreeing on the framework we would be able to build our own internal tests for the platforms we care about. This brief talk will talk about the fundamentals of standard testing and how we can build these tests using ConTest, a testing framework that was written by Facebook and released as an open source project. By standardizing on a single framework we will be able to ramp up specific tests to help build more reliable platforms by being able to detect regressions, adding new tests for new failure scenarios and so on. We hope that after this talk that you would be excited in joining the effort to build these tests and improve the state of these open source projects and the platforms that depend on it.

Other people: Christian Walter

A talk on engaging the F/OSS community and the lessons learned in the many releases after GNOME 3. Discuss measures we took to engage community, the effect of social media in the modern age, and lessons for others who also release software.

Bad news travel fast, ugly news travel even faster. The world was not the same when GNOME released 2.0, and in today's world you need to know how to engage with the community, apply damage control when needed, and understand how information propagates through social media and to create an effective message.

This talk is about the key lessons we learned when releasing GNOME 3.0 and subsequent releases after and discuss possible solutions, or the measures we have used to help reduce friction with the community.