Hardware Acceleration of EDA Algorithms

Custom ICs, FPGAs and GPUs

  • Kanupriya Gulati
  • Sunil P. Khatri

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Kanupriya Gulati, Sunil P. Khatri
    Pages 1-5
  3. Alternative Hardware Platforms

    1. Front Matter
      Pages 7-8
    2. Kanupriya Gulati, Sunil P. Khatri
      Pages 9-22
    3. Kanupriya Gulati, Sunil P. Khatri
      Pages 23-30
  4. Control-Dominated Category

    1. Front Matter
      Pages 31-32
    2. Kanupriya Gulati, Sunil P. Khatri
      Pages 33-61
    3. Kanupriya Gulati, Sunil P. Khatri
      Pages 63-81
    4. Kanupriya Gulati, Sunil P. Khatri
      Pages 83-99
  5. Control Plus Data Parallel Applications

    1. Front Matter
      Pages 101-103
    2. Kanupriya Gulati, Sunil P. Khatri
      Pages 105-118
    3. Kanupriya Gulati, Sunil P. Khatri
      Pages 119-132
    4. Kanupriya Gulati, Sunil P. Khatri
      Pages 133-152
    5. Kanupriya Gulati, Sunil P. Khatri
      Pages 153-165
  6. Automated Generation of GPU Code

    1. Front Matter
      Pages 167-167
    2. Kanupriya Gulati, Sunil P. Khatri
      Pages 169-180
    3. Kanupriya Gulati, Sunil P. Khatri
      Pages 181-187
  7. Back Matter
    Pages 189-192

About this book

Introduction

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Kanupriya Gulati

Sunil P. Khatri


This book deals with the acceleration of EDA algorithms using hardware platforms such as Custom ICs, FPGAs and GPUs. Widely applied CAD algorithms are studied for potential acceleration on these platforms. Coverage includes discussion of conditions under which it is preferable to use one platform over another, e.g., when an EDA problem has a high degree of data parallelism, the GPU is typically the preferred platform, whereas when the problem has more control, an FPGA may be preferred. Results are presented for the acceleration of several CAD algorithms (fault simulation, fault table generation, model card evaluation in SPICE, Monte Carlo based statistical static timing analysis, Boolean Satisfiability), demonstrating speedups up to 800X compared to single-core implementatinos of these algorithms.

This book serves as a valuable guide on how best to leverage parallelism to accelerate CAD algorithms. It also presents a methodology to automatically extract SIMD parallelism from regular uniprocessor code which satisfies a set of constraints. With this approach, such uniprocessor code can automatically be converted to GPU code, allowing for significant acceleration. This approach is particularly useful since different GPUs have vastly different specifications, making the manual generation of GPU code an unscalable proposition.

In particular, this book:

  • Provides guidelines on whether to use Custom ICs, GPUs or FPGAs when accelerating a given EDA algorithm, validating these suggestions with a concrete example (Boolean Satisfiability) implemented on all these platforms;
  • Demonstrates the acceleration of several popular EDA algorithms on GPUs, with speedups up to 800X;
  • Helps the reader by presenting example algorithms which may be used by the reader to determine how best to accelerate their specific EDA algorithm;
  • Discusses an automatic approach to generate GPU code, given regular uniprocessor code which satisfies a set of constraints;
  • Serves as a valuable reference for anyone interested in exploring alternative hardware platforms for accelerating various EDA applications by harnessing the parallelism available in these platforms.

Keywords

FPGA Field Programmable Gate Array algorithms architecture computer-aided design (CAD) integrated circuit micro-alloy transistor, MAT model simulation static-induction transistor

Authors and affiliations

  • Kanupriya Gulati
    • 1
  • Sunil P. Khatri
    • 2
  1. 1.CoppellU.S.A.
  2. 2.Dept. Electrical & Computer EngineeringTexas A & M UniversityCollege StationU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-0944-2
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-1-4419-0943-5
  • Online ISBN 978-1-4419-0944-2
  • About this book