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Georgia Institute of Technology
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Flint enables unprecedented flexibility in exploring distributed ML design spaces by leveraging compiler insights, allowing for workload representation across any cluster size.
StableHLO unlocks cross-architecture performance prediction for distributed ML, revealing accuracy trade-offs and simulator limitations without needing access to expensive, scaled-out hardware.
