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

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 plat...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Khatri, Sunil P. (Author), Gulati, Kanupriya (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Subjects:
Electronic circuits.
Computer-aided engineering.
Electronic Circuits and Systems.
Computer-Aided Engineering (CAD, CAE) and Design.
Online Access:Texto Completo
Table of Contents:
  • Alternative Hardware Platforms
  • Hardware Platforms
  • GPU Architecture and the CUDA Programming Model
  • Control Dominated Category
  • Accelerating Boolean Satisfiability on a Custom IC
  • Accelerating Boolean Satisfiability on an FPGA
  • Accelerating Boolean Satisfiability on a Graphics Processing Unit
  • Control Plus Data Parallel Applications
  • Accelerating statistical static Timing Analysis Using Graphics Processors
  • Accelerating Fault Simulation Using Graphics Processors
  • Fault Table Generation Using Graphics Processors
  • Accelerating Circuit Simulation Using Graphics Processors
  • Automated Generation of GPU Code
  • Automated Approach for Graphics Processor Based Software Acceleration
  • Conclusions.

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