Track host
About the track
What happens when semiconductor no longer gets faster at a predictable pace? Hardware evolution shows no sign of slowing down, and is instead introducing more profound architectural changes to meet the ever-rising needs of modern workloads. This brave new era presents both big challenges and exciting opportunities for software developers.
In this dedicated hardware track, the speakers will give you a taste of the incredible diversity of modern hardware, and how software developers can prepare for a world where software and hardware designs are increasingly integrated.
The day in the host's words
Sessions in this track
Wednesday 20 November. 5 sessions per track, chosen and introduced by the Track Host.
10:35 Seacliff ABC Session AI/ML Unleashing Llama's Potential: CPU-Based Fine-Tuning Anil Rajput, Rema Hariharan Generative AI landscape is rapidly changing as new models are appearing in horizon every few days. However, the hardware and software characteristics of these models have many similar patterns and execution phases. 11:45 Seacliff ABC Session AI HW/SW optimization Maximizing Deep Learning Performance on CPUs using Modern Architectures Bibek Bhattarai AI Technical Lead @Intel, Computer Scientist Invested in Hardware-Software Optimization, Building Scalable Data Analytics, Mining, and Learning Systems As deep learning continues to drive advancements across various industries, efficiently navigating the landscape of specialized AI hardware has a huge impact on cost and speed of operation. 13:35 Seacliff ABC Session Hybrid cloud Evaluating and Deploying State-of-the-Art Hardware to Meet the Challenges of Modern Workloads Rebecca Weekly VP of Infrastructure @GEICO At GEICO we are on a journey to entirely modernize our Infrastructure. We are building an open-source, cloud-agnostic hybrid stack to run across public and on prem private cloud infrastructure without having to expose vendor specific stacks to our application developers. 14:45 Seacliff ABC Session RISC-V Optimizing Custom Workloads with RISC-V Ludovic Henry Member of Technical Staff @Rivos, Performance-Minded Engineer, Hardware & Software, Previously @Xamarin, @Microsoft, @Datadog This talk will explore how RISC-V architecture can accelerate custom workloads, focusing on AI/ML applications. We’ll start by examining the RISC-V ecosystem and its increasing relevance in the software development landscape. 15:55 Seacliff ABC Session High-Resolution Platform Observability Brian Martin Co-founder and Software Engineer @IOP Systems, Focused on High-Performance Software and Systems, Previously @Twitter Many observability tools fail to provide us with the relevant insights for understanding hardware health and utilization.QCon San Francisco 2024 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.