JP2025522299A5 - - Google Patents

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Publication number
JP2025522299A5
JP2025522299A5 JP2024569371A JP2024569371A JP2025522299A5 JP 2025522299 A5 JP2025522299 A5 JP 2025522299A5 JP 2024569371 A JP2024569371 A JP 2024569371A JP 2024569371 A JP2024569371 A JP 2024569371A JP 2025522299 A5 JP2025522299 A5 JP 2025522299A5
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JP
Japan
Prior art keywords
accelerators
sparse
experts
layers
computing system
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Pending
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JP2024569371A
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English (en)
Japanese (ja)
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JP2025522299A (ja
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Priority claimed from US17/848,679 external-priority patent/US12579470B2/en
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Publication of JP2025522299A publication Critical patent/JP2025522299A/ja
Publication of JP2025522299A5 publication Critical patent/JP2025522299A5/ja
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JP2024569371A 2022-06-24 2023-05-16 特殊混合専門家機械学習モデルの層を分散するためのシステムおよび方法 Pending JP2025522299A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US17/848,679 US12579470B2 (en) 2022-06-24 2022-06-24 Systems and methods for distributing layers of special mixture-of-experts machine learning models
US17/848,679 2022-06-24
PCT/US2023/022447 WO2023249754A1 (en) 2022-06-24 2023-05-16 Systems and methods for distributing layers of special mixture-of-experts machine learning models

Publications (2)

Publication Number Publication Date
JP2025522299A JP2025522299A (ja) 2025-07-15
JP2025522299A5 true JP2025522299A5 (enExample) 2026-04-16

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JP2024569371A Pending JP2025522299A (ja) 2022-06-24 2023-05-16 特殊混合専門家機械学習モデルの層を分散するためのシステムおよび方法

Country Status (6)

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US (2) US12579470B2 (enExample)
EP (1) EP4544451A1 (enExample)
JP (1) JP2025522299A (enExample)
KR (1) KR20250029051A (enExample)
CN (1) CN119452368A (enExample)
WO (1) WO2023249754A1 (enExample)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20250258725A1 (en) * 2024-02-13 2025-08-14 Hewlett Packard Enterprise Development Lp Control path communication between non-host processing devices
CN117972293B (zh) * 2024-03-28 2024-06-07 北京思凌科半导体技术有限公司 基于混合专家模型的计算方法、装置、设备及存储介质

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018085643A1 (en) * 2016-11-04 2018-05-11 Google Llc Mixture of experts neural networks
US10509846B2 (en) * 2017-12-13 2019-12-17 Intel Corporation Accelerator for processing data
US11893502B2 (en) 2017-12-20 2024-02-06 Advanced Micro Devices, Inc. Dynamic hardware selection for experts in mixture-of-experts model
WO2020023483A1 (en) * 2018-07-23 2020-01-30 Google Llc Continuous parametrizations of neural network layer weights
US11003823B2 (en) 2018-08-09 2021-05-11 Palo Alto Research Center Incorporated Re-design of analog circuits
US20200117978A1 (en) 2018-10-12 2020-04-16 Alibaba Group Holding Limited Systems and methods for efficiently mapping neural networks to programmable logic devices
WO2020099583A1 (en) 2018-11-18 2020-05-22 Innatera Nanosystems B.V. Spiking neural network
US12124941B2 (en) 2020-03-27 2024-10-22 Intel Corporation Methods and apparatus for dynamic batching of data for neural network workloads
US11586894B2 (en) 2020-05-04 2023-02-21 SiMa Technologies, Inc. Ordering computations of a machine learning network in a machine learning accelerator for efficient memory usage
US12530571B2 (en) 2020-07-08 2026-01-20 Nvidia Corporation Image generation using one or more neural networks
US20220036186A1 (en) * 2020-07-30 2022-02-03 Waymo Llc Accelerated deep reinforcement learning of agent control policies
US20220059200A1 (en) 2020-08-21 2022-02-24 Washington University Deep-learning systems and methods for medical report generation and anomaly detection
US12518135B2 (en) * 2021-02-05 2026-01-06 Google Llc Sparse and differentiable mixture of experts neural networks
US20230281510A1 (en) * 2022-03-07 2023-09-07 Qualcomm Incorporated Machine learning model architecture combining mixture of experts and model ensembling

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