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Blake A. Hechtman

Duke University

16

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378

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Scaling Local Self-Attention for Parameter Efficient Visual Backbones.

2021 arXiv: Computer Vision and Pattern Recognition
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GSPMD: General and Scalable Parallelization for ML Computation Graphs.

2021 arXiv: Distributed, Parallel, and Cluster Computing
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Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training

2020 arXiv: Distributed, Parallel, and Cluster Computing
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Scale MLPerf-0.6 models on Google TPU-v3 Pods

2019 arXiv: Learning
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Mesh-TensorFlow: Deep Learning for Supercomputers

2018 NeurIPS | Neural Information Processing Systems
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TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

2016 arXiv: Distributed, Parallel, and Cluster Computing
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QuickRelease: A throughput-oriented approach to release consistency on GPUs

2014 HPCA | High-Performance Computer Architecture
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Heterogeneous-race-free memory models

2014 ASPLOS | Architectural Support for Programming Languages and Operating Systems
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Evaluating cache coherent shared virtual memory for heterogeneous multicore chips

2013 ISPASS | International Symposium on Performance Analysis of Systems and Software
- Blake A. Hechtman
- Daniel J. Sorin
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Exploring memory consistency for massively-threaded throughput-oriented processors

2013 ISCA | International Symposium on Computer Architecture
- Blake A. Hechtman
- Daniel J. Sorin
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Citations (38)