| 书目名称 | Efficient Execution of Irregular Dataflow Graphs |
| 副标题 | Hardware/Software Co |
| 编辑 | Nimish Shah,Wannes Meert,Marian Verhelst |
| 视频video | |
| 概述 | Analyzes the key bottlenecks in the existing platforms for these sparse and irregular AI and linear algebra algorithms;.Discusses an emerging set of AI workloads that rely on sparse matrix operations |
| 图书封面 |  |
| 描述 | .This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular linear systems (SpTRSV). The authors describe optimizations for the entire stack, targeting applications, compilation, hardware architecture and silicon implementation, resulting in orders of magnitude higher performance and energy-efficiency compared to the existing state-of-the-art solutions. Thus, this book provides important building blocks for the upcoming generation of edge AI platforms.. |
| 出版日期 | Book 2023 |
| 关键词 | hardware for sparse matrix operations; parallel computer architecture; hardware for probabilistic infe |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-33136-7 |
| isbn_softcover | 978-3-031-33138-1 |
| isbn_ebook | 978-3-031-33136-7 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:43:09
