Author

A. Barnes

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Preprint Jul 2026

Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators

This work presents the first production-scale application of Triton on a custom ML accelerator, MTIA-2i, developed by Meta, and develops a new compiler backend that targets it, introduces enhancements to TorchInductor code generation, and proposes minimal language extensions that expose MTIA-specific architectural feat...

Haishan Zhu, Domi Yan, Michael Levesque-Dion et al. · 0 citations

Preprint Aug 2026

Architecting the Next Generation of Asynchronous, Distributed GPUs for the AI Era

This work presents a cycle-level simulation framework designed to accurately model modern GPU generations, including Ampere, Hopper, and Blackwell, and conducts architectural case studies to evaluate emerging design trajectories, including chiplet topology scaling, expanded SRAM capacity and bandwidth, and inter-GPU pr...

Junrui Pan, Wei-Li An, Cesar Avalos Baddouh et al. · 2 citations · ⚡2