Extending LLDB to Debug Applications That Span CPUs and GPUs

The blog post discusses the development of a vendor-neutral accelerator plugin architecture in LLDB designed for debugging applications that operate across CPUs and GPUs. By separating shared debugger infrastructure from hardware-specific control, it allows for streamlined debugging of modern AI applications that increasingly rely on both CPU and GPU resources. This new architecture addresses traditional debugging challenges by coordinating between CPU and GPU processes while enabling a unified debugging experience without sacrificing performance.