FLARE uses pairwise coprime test vectors to create unique divisibility signatures that localize faulty rows in systolic arrays with one test pass and over 98% probability for 256x256 INT16 arrays.
Model compression and hardware acceleration for neural networks: A comprehensive survey.Proceedings of the IEEE, 108(4):485–532
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Structural pruning of SO(3) equivariant atomistic models from large checkpoints yields 1.5-4x fewer parameters and 2.5-4x less pre-training compute than small models trained from scratch, while outperforming them on most Matbench Discovery metrics and downstream tasks.
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FLARE: One-Shot PE-Level Fault Localization in Systolic Arrays via Algebraic Test Vectors
FLARE uses pairwise coprime test vectors to create unique divisibility signatures that localize faulty rows in systolic arrays with one test pass and over 98% probability for 256x256 INT16 arrays.
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Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning
Structural pruning of SO(3) equivariant atomistic models from large checkpoints yields 1.5-4x fewer parameters and 2.5-4x less pre-training compute than small models trained from scratch, while outperforming them on most Matbench Discovery metrics and downstream tasks.