Parallel Sparse Direct Solver for Integrated Circuit Simulation
Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
| Author: | Xiaoming Chen, Yu Wang, Huazhong Yang | ISBN: | 9783319534299 |
| Publisher: | Springer International Publishing | Publication: | February 11, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | Xiaoming Chen, Yu Wang, Huazhong Yang |
| ISBN: | 9783319534299 |
| Publisher: | Springer International Publishing |
| Publication: | February 11, 2017 |
| Imprint: | Springer |
| Language: | English |
This book describes algorithmic methods and parallelization techniques to design a parallel sparse direct solver which is specifically targeted at integrated circuit simulation problems. The authors describe a complete flow and detailed parallel algorithms of the sparse direct solver. They also show how to improve the performance by simple but effective numerical techniques. The sparse direct solver techniques described can be applied to any SPICE-like integrated circuit simulator and have been proven to be high-performance in actual circuit simulation. Readers will benefit from the state-of-the-art parallel integrated circuit simulation techniques described in this book, especially the latest parallel sparse matrix solution techniques.
This book describes algorithmic methods and parallelization techniques to design a parallel sparse direct solver which is specifically targeted at integrated circuit simulation problems. The authors describe a complete flow and detailed parallel algorithms of the sparse direct solver. They also show how to improve the performance by simple but effective numerical techniques. The sparse direct solver techniques described can be applied to any SPICE-like integrated circuit simulator and have been proven to be high-performance in actual circuit simulation. Readers will benefit from the state-of-the-art parallel integrated circuit simulation techniques described in this book, especially the latest parallel sparse matrix solution techniques.
