A System Level Compiler for Massively-Parallel, Spatial, Dataflow Architectures

June 18, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Dirk Van Essendelft, Patrick Wingo, Terry Jordan, Ryan Smith, Wissam Saidi arXiv ID 2506.15875 Category cs.PL: Programming Languages Cross-listed cs.AR, cs.DC, cs.ET Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
We have developed a novel compiler called the Multiple-Architecture Compiler for Advanced Computing Hardware (MACH) designed specifically for massively-parallel, spatial, dataflow architectures like the Wafer Scale Engine. Additionally, MACH can execute code on traditional unified-memory devices. MACH addresses the complexities in compiling for spatial architectures through a conceptual Virtual Machine, a flexible domain-specific language, and a compiler that can lower high-level languages to machine-specific code in compliance with the Virtual Machine concept. While MACH is designed to be operable on several architectures and provide the flexibility for several standard and user-defined data mappings, we introduce the concept with dense tensor examples from NumPy and show lowering to the Wafer Scale Engine by targeting Cerebras' hardware specific languages.
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