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05/08/2022
αNAS: Neural Architecture Search using Property Guided Synthesis
In the past few years, neural architecture search (NAS) has become an in...
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03/23/2022
Pathways: Asynchronous Distributed Dataflow for ML
We present the design of a new large scale orchestration layer for accel...
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12/07/2021
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules
Multi-Chip-Modules (MCMs) reduce the design and fabrication cost of mach...
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01/05/2021
Equality Saturation for Tensor Graph Superoptimization
One of the major optimizations employed in deep learning frameworks is g...
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10/21/2020
Transferable Graph Optimizers for ML Compilers
Most compilers for machine learning (ML) frameworks need to solve many c...
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08/03/2020
A Learned Performance Model for Tensor Processing Units
Accurate hardware performance models are critical to efficient code gene...
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09/28/2019
GDP: Generalized Device Placement for Dataflow Graphs
Runtime and scalability of large neural networks can be significantly af...
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04/29/2019