Name
Title | ||
|---|---|---|
UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper). |
Abstract | ||
|---|---|---|
Global placement is a major runtime bottleneck of modern FPGA physical synthesis. As the FPGA capacity grows rapidly, new innovative global placement approaches are in great demand for more efficient circuit mapping and prototyping. In this paper, we propose a parallelization framework for modern FPGA global placement, UTPlaceF 3.0. Two major techniques are presented to boost the performance of a state-of-the-art quadratic placer with only small quality degradation: 1) placement-driven block-Jacobi preconditioning and 2) parallelized incremental placement correction. Experimental results show that UTPlaceF 3.0 can take full advantages of modern multi-core CPUs and achieves more than 5X speedup over sequential implementation with competitive placement quality. |
Year | Venue | Field |
|---|---|---|
2017 | ICCAD | Bottleneck,Computer science,Parallel computing,Field-programmable gate array,Quadratic equation,Physical synthesis,Speedup |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wuxi Li | 1 | 36 | 6.03 |
| Meng Li | 2 | 132 | 17.74 |
| Jiajun Wang | 3 | 229 | 27.25 |
| David Z. Pan | 4 | 2653 | 237.64 |