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.
From this track
Unleashing Llama's Potential: CPU-Based Fine-Tuning
Wednesday Nov 20 / 10:35AM PST
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.
Anil Rajput
AMD Fellow, Software System Design Eng. Java Committee Chair @SPEC, Architected Industry Standard Benchmarks and Authored Best Practices Guides for Platform Engineering and Cloud
Rema Hariharan
Principal Engineer @AMD, Seasoned Performance Engineer With a Base in Quantitative Sciences and a Penchant for Root-Causing
Maximizing Deep Learning Performance on CPUs using Modern Architectures
Wednesday Nov 20 / 11:45AM PST
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.
Bibek Bhattarai
AI Technical Lead @Intel, Computer Scientist Invested in Hardware-Software Optimization, Building Scalable Data Analytics, Mining, and Learning Systems
Evaluating and Deploying State-of-the-Art Hardware to Meet the Challenges of Modern Workloads
Wednesday Nov 20 / 01:35PM PST
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.
Rebecca Weekly
VP of Infrastructure @GEICO
Optimizing Custom Workloads with RISC-V
Wednesday Nov 20 / 02:45PM PST
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.
Ludovic Henry
Member of Technical Staff @Rivos, Performance-Minded Engineer, Hardware & Software, Previously @Xamarin, @Microsoft, @Datadog
High-Resolution Platform Observability
Wednesday Nov 20 / 03:55PM PST
Many observability tools fail to provide us with the relevant insights for understanding hardware health and utilization.
Brian Martin
Co-founder and Software Engineer @IOP Systems, Focused on High-Performance Software and Systems, Previously @Twitter
