HC34-T2: Heterogeneous Compilation in MLIR @hotchipsvideos
HC34-T2: Heterogeneous Compilation in MLIR  @hotchipsvideos
Uploaded December 2022 | Updated September 2026, 3 weeks ago
Tutorial 2, Hot Chips 34 (2022), Sunday, August 21, 2022.

Chair: Stephen Neuendorffer, AMD

This tutorial covers a number of issues related to improved compilation of machine learning models to a wide variety of software and hardware accelerators.

Basic Concepts
Jacques Pienaar, Google

Code Generation
Harsh Menon, Nod.AI

ML Frontends and frameworks
Suraj Sudhir, ARM

CIRCT
Andrew Lenharth, SiFive, and John Demme, Microsoft
HC34-T2: Heterogeneous Compilation in MLIRHC29-K2: Machine Learning and the Implications for Computer System DesignHC28-K2: Are We There Yet? Silicon in Self-Driving CarsHC20-S7: NetworkingHC27-S3: High Performance and Cloud Computing and CommunicationHC28-S8: Dealing with Big DataHC33-S5: ML Inference for the CloudHC2025-T2.1: AI Kernel Programming (part 1)HC28-S7: Multicore ResearchHC25-S2: Processors 1HC34-S2: Integration TechnologiesHC32-S1: Server Processors
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HC34-T2: Heterogeneous Compilation in MLIR

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