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Disruptive Changes in Field Equation Modeling: A Simple Interface for Wafer Scale Engines

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arxiv 2209.13768 v2 pith:Q72YH2UY submitted 2022-09-28 cs.DC cs.ARcs.MScs.PF

Mino Woo , Terry Jordan , Robert Schreiber , Ilya Sharapov , Shaheer Muhammad , Abhishek Koneru , Michael James , Dirk Van Essendelft This is my paper · ORCID
classification cs.DCcs.ARcs.MScs.PF
keywords fieldinterfaceperformanceequationshigh-levelmagnitudeordersprogramming
verification ladder T0 review T1 audit T2 compute T3 formal
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We present a high-level and accessible Application Programming Interface (API) for the solution of field equations on the Cerebras Systems Wafer-Scale Engine (WSE) with over two orders of magnitude performance gain relative to traditional distributed computing approaches. The domain-specific API is called the WSE Field-equation API (WFA). The WFA outperforms OpenFOAM on NETL's Joule 2.0 supercomputer by over two orders of magnitude in time to solution. While this performance is consistent with hand-optimized assembly codes, the WFA provides an easy-to-use, high-level Python interface that allows users to form and solve field equations effortlessly. We report here the WFA programming methodology and achieved performance on the latest generation of WSE, the CS-2.

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  1. Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware

    cs.DC 2024-11 conditional novelty 6.0 of 10

    A multi-core-per-atom EAM molecular dynamics implementation on the Cerebras WSE-2 reaches 1.144M steps/s for 200,000 atoms, claiming the fastest MD simulation rate on any platform.

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