Name
Abstract | ||
|---|---|---|
Aerial image simulation is a fundamental problem in advanced lithography for chip fabrication. Since it requires a huge number of mathematical computations, an efficient yet accurate implementation becomes a necessity. In the literature, graphic processing unit (GPU) or multi-core single instruction multiple data (SIMD) CPU has demonstrated its potential for accelerating simulation. However, the combination of GPU and multi-core SIMD CPU was not exploited thoroughly. In this paper, we present and discuss collaborative computing algorithms for the aerial image simulation on multi-core SIMD CPU and GPU. Our improved method achieves up to 160× speedup over the baseline serial approach and outperforms the state-of-the-art GPU-based approach by up to 4× speedup with a hex-core SIMD CPU and Tesla K10 GPU. We show that the performance on the collaborative computing is promising, and the medium-grained task scheduling is suitable for improving the collaborative efficiency. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.compeleceng.2015.05.018 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Lithography simulation,Collaborative computing,Dynamic task scheduling,Advanced vector extensions,GPU parallel | Collaborative computing,Computer science,Scheduling (computing),Parallel computing,SIMD,Aerial image,Chip fabrication,Speedup,Computation | Journal |
Volume | Issue | ISSN |
46 | C | 0045-7906 |
Citations | PageRank | References |
2 | 0.39 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Zhang | 1 | 198 | 18.72 |
| chen hu | 2 | 18 | 3.01 |
| Pei-Ci Wu | 3 | 102 | 7.89 |
| Hongbo Zhang | 4 | 322 | 33.83 |
| Martin D. F. Wong | 5 | 3525 | 363.70 |