Demo: TraceLLM - Harness the Full Potential of your RISC-V Systems with an AI Based, Real-time, RISC-V Embedded Application Debug and Trace Analysis Engine - Rejeesh Shaji Babu, Ashling

In this presentation, we will provide an overview of Ashling’s TraceLLM which offers unprecedented insights into your program’s real-time behavior through an intelligent trace capture and AI LLM based analysis software engine which can be queried using a natural language, prompt-based interface. TraceLLM, which works with the Ashling Vitra-XS hardware trace probe and RiscFree software debugger has the capability to understand the entire program execution flow and can answer any questions related to the program execution in a natural language and provide quick and accurate responses, substantially bringing down the time spent by developers for debugging. Dive into your program's behavior and watch as the intelligent engine examines the captured trace and delivers unprecedented insights including pinpointing potential bottlenecks, performance issues and offering actionable insights. Enhance efficiency, accelerate problem solving, and harness the full potential of your RISC-V systems with Ashling’s TraceLLM today.