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Performance and Memory-Efficient Parallel Computing Framework for RSMT Construction

  • N. R. LathaEmail author
  • G. R. Prasad
Conference paper
  • 16 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1119)

Abstract

Constructing fast and efficient Rectilinear Steiner Minimal Tree (RSMT) for modern VLSI circuit is a major issue in VLSI physical design (PD). Further, minimizing runtime and wire length is the most desired objective. The existing FLUTE-based VLSI routing model induces memory and I/O overhead. To overcome these research challenges, this paper presents a Memory-Efficient RSMT (MERSMT) construction that addresses the memory overhead problem that exists in larger nets. Further, the runtime of RSMT construction is reduced using High-Performance Computing (HPC) environment such as CPU and GPU. In order to get good trade-offs between memory efficiency and I/O efficiency, this paper presents a Performance and Memory Constraint Parallel Computation (PMCPC) algorithm. Experiments are conducted on ISPD 98 benchmarks and attained good results in terms of wire length, memory utilization, and processing time (i.e., runtime) when compared with standard VLSI routing design.

Keywords

Graphical processing unit High-performance computing Multicore environment Parallel computing framework RSMT VLSI 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of CSEB.M.S. College of EngineeringBangaloreIndia

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