Accelerating Graph Algorithms
Springer Verlag, Singapore
978-981-95-5746-2 (ISBN)
- Titel nicht im Sortiment
- Artikel merken
Graph processing, especially the processing of large-scale graphs with the number of vertices and edges in the order of billions or even hundreds of billions, has attracted much attention in both industry and academia. However, it remains a great challenge to process such large-scale graphs on memory limited accelerators. This book tries to introduce some recent techniques to unleash the power of parallel computing by using recent hardware accelerators like GPU/FPGA.
This comprehensive book covers several key features essential for maximizing efficiency and performance in GPU-based computing. Readers will learn to master GPU memory utilization techniques to enhance algorithmic speed and implement graph traversal and processing algorithms using high-performance CUDA programming. The guide also explores the potential of parallel computing for graph analytics, providing optimization strategies for diverse graph structures and algorithmic complexities. To ensure practical understanding, the book includes real-world case studies and practical examples for hands-on learning.
Whether you're a researcher, data scientist, or enthusiast in GPU computing, this book is your gateway to unlocking the full potential of graph processing in the era of parallel computing. Elevate your expertise and revolutionize your approach to graph analysis with this essential resource.
Zhigao Zheng is an associate professor at Wuhan University. He is the executive committee member of the Technical Committee on Distributed Computing & Systems and Embedded Systems of CCF. His current research interests focus on cloud computing, big data processing, and AI systems. He has won some awards, such as the Rising Star of ACM-Wuhan, and IEEE TCSC Outstanding Ph.D. Dissertation Award. He published more than 20 peer-reviewed publications (such as the IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Computers). He is the PC member of several TOP conferences, such as TheWebConf (formally WWW) and NeurIPS, and the vice PC chair of CPSCom 2023. He is also the editorial board member of several high-quality journals, such as the IEEE Transactions on Consumer Electronics, Mobile Networks and Applications. He joins research projects from various governmental and industrial organizations, such as the National Science Foundation of China (NSFC), the Ministry of Science and Technology, and the Ministry of Education. He is a member of ACM, IEEE, and CCF.
"Chapter I: Recent Accelerators".- "Chapter II: Graph Traversal Algorithms on GPU".- "Chapter III: Graph Analysis Algorithms on GPU".- "Chapter IV: Graph Mining Algorithms on GPU".- "Chapter V: Performance Analysis of Different Accelerators".- "Chapter VI: Applications and Related Topics".
| Erscheint lt. Verlag | 13.4.2026 |
|---|---|
| Zusatzinfo | Approx. 400 p. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | accelerator • FGPA • GPU • Graph Algorithms • Parallel Algorithms |
| ISBN-10 | 981-95-5746-1 / 9819557461 |
| ISBN-13 | 978-981-95-5746-2 / 9789819557462 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
