Ultrafast CPU/GPU Kernels for Density Accumulation in Placement

Density accumulation is a widely-used primitive operation in physical design, especially for placement. Iterative invocation in the optimization flow makes it one of the runtime bottlenecks. Accelerating density accumulation is challenging due to data dependency and workload imbalance. In this paper...

Full description

Saved in:

Bibliographic Details
Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 1123 - 1128
Main Authors:	Guo, Zizheng, Mai, Jing, Lin, Yibo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Design automation Graphics processing units Kernel Optimization Physical design Runtime Task analysis
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Density accumulation is a widely-used primitive operation in physical design, especially for placement. Iterative invocation in the optimization flow makes it one of the runtime bottlenecks. Accelerating density accumulation is challenging due to data dependency and workload imbalance. In this paper, we propose efficient CPU/GPU kernels for density accumulation by decomposing the problem into two phases: constant-time density collection for each instance and a linear-time prefix sum. We develop CPU and GPU dedicated implementations, and demonstrate promising efficiency benefits on tasks from large-scale placement problems.
DOI:	10.1109/DAC18074.2021.9586149