
Hardware Acceleration of EDA Algorithms
Custom ICs, FPGAs and GPUs
Springer (Publisher)
1st Edition
Published on 6. April 2010
Book
Hardback
XXII, 192 pages
978-1-4419-0943-5 (ISBN)
Description
Single-threaded software applications have ceased to see signi?cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi?cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, ?eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ?ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs.
More details
Edition
2010
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
Unsewn / adhesive bound
Paper over boards
Illustrations
XXII, 192 p.
Dimensions
Height: 244 mm
Width: 164 mm
Thickness: 29 mm
Weight
469 gr
ISBN-13
978-1-4419-0943-5 (9781441909435)
DOI
10.1007/978-1-4419-0944-2
Schweitzer Classification
Other editions
Additional editions

Sunil P. Khatri | Kanupriya Gulati
Hardware Acceleration of EDA Algorithms
Custom ICs, FPGAs and GPUs
Book
09/2014
Springer
€139.99
Shipment within 15-20 days

Sunil P. Khatri | Kanupriya Gulati
Hardware Acceleration of EDA Algorithms
Custom ICs, FPGAs and GPUs
E-Book
03/2010
1st Edition
Springer
€96.29
Available for download
Content
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.