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267874993
OneFlow at Scale: Architecting Parallel and Distributed Deep Learning Systems, (Paperback)
物品 #:
267874993
HKD 434
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產品詳情
- OneFlow at Scale: Architecting Parallel and Distributed Deep Learning Systems is a comprehensive guide to building and operating large-scale deep learning systems with OneFlow. It explores the framework's core design principles, its architecture, and the motivations behind its evolution in the context of modern distributed machine learning. Through a clear comparison with platforms such as TensorFlow, PyTorch, Horovod, and MXNet, the book explains how OneFlow addresses the challenges of training increasingly large models across cloud, cluster, and high-performance computing environments. The book provides a deep technical treatment of the full OneFlow stack, including scheduling, resource management, data pipelines, elasticity, and fault tolerance. It presents the major forms of parallelism-data, model, pipeline, and hybrid approaches-along with device placement, load balancing, synchronization strategies, and communication protocols that drive efficient distributed training. Readers will gain both the formal understanding and practical insight needed to maximize throughput, scalability, and resilience in demanding production and research workloads. Beyond system architecture, the book bridges theory and practice with hands-on guidance for deployment, monitoring, debugging, security, and extensibility across heterogeneous backends. It also includes real-world case studies in vision, NLP, and multimodal learning, as well as emerging topics such as federated learning, green AI, and compiler integration. Designed for engineers, researchers, and technical leaders, this volume serves as an essential reference for mastering scalable parallel and distributed deep learning with OneFlow.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2026 |
| Pages | 236 |
| Subgenre | General |
| Series title | No Series |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Educational level | Higher |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.50 x 9.00 in (15.2 x 1.3 x 22.9 cm) |
| Assembled product weight | 0.71 lb (320 grams) |
| Bisac subject heading | Computers |
產品敘述
OneFlow at Scale: Architecting Parallel and Distributed Deep Learning Systems, (Paperback)
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HKD 434
現在訂購，約可在下列時間收貨： 星期六, 十月 24
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特色和優勢
- In-depth guide to building large-scale deep learning systems.
- Covers OneFlow's architecture and core design principles.
- Comparative analysis with leading platforms like TensorFlow and PyTorch.
- Detailed exploration of parallelism, fault tolerance, and resource management.
- Hands-on guidance for deployment and monitoring across diverse environments.
- Includes real-world case studies on NLP, vision, and emerging AI topics.
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