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From AI to HPC: Bridging Gaps in Domain-Specific Compilation

DescriptionMajor tech players were already investing heavily in domain-specific compilation for AI; a trend that was since turbocharged by the LLM revolution triggered by ChatGPT and its derivatives. With Python-based frontends for productivity, and MLIR as a robust foundational infrastructure, it could seem like AI outpaced traditional HPC in domain-specific compilation. Yet with every organization developing their own compilation stacks, and increasingly diverse AI accelerators, reuse is sparse and we are far from reaching generality. The goal of this panel is to exchange wisdom across traditional HPC and AI compilation. What challenges prevent more sharing and standardization of compilation techniques and infrastructure? How do we face the challenge of diverse and ever-evolving hardware? Are we moving from a fire-and-forget system to a more interactive compilation experience? Our expert panelists will give us invaluable insights from their positions in cutting edge compiler research and engineering.

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