Skip to main content Accessibility help
×
Hostname: page-component-77f85d65b8-8wtlm Total loading time: 0 Render date: 2026-04-18T23:57:14.678Z Has data issue: false hasContentIssue false

4 - Hardware synthesis

Published online by Cambridge University Press:  03 May 2010

Ryan Kastner
Affiliation:
University of California, San Diego
Anup Hosangadi
Affiliation:
University of California, Santa Barbara
Farzan Fallah
Affiliation:
Stanford University, California
Get access

Summary

Chapter overview

This chapter provides a brief summary of the stages in the hardware synthesis design flow. It is designed to give unfamiliar readers a high-level understanding of the hardware design process. The material in subsequent chapters describes different hardware implementations of polynomial expressions and linear systems. Therefore, we feel that it is important, though not necessarily essential, to have an understanding of the hardware synthesis process.

The chapter starts with a high-level description of the hardware synthesis design flow. It then proceeds to discuss the various components of this design flow. These include the input system specification, the program representation, algorithmic optimizations, resource allocation, operation scheduling, and resource binding. The chapter concludes with a case study using an FIR filter. This provides a step-by-step example of the hardware synthesis process. Additionally, it gives insight into the hardware optimization techniques presented in the following chapters.

Hardware synthesis design flow

The initial stages of a hardware design flow are quite similar to the frontend of a software compiler. One of the biggest differences is that the input system specification languages are different. Hardware description languages must deal with many features that are unnecessary in software, which for the most part model execution in a serial fashion. Such features include the need to model concurrent execution of the underlying resources, define a variety of different data types specifically for different bit widths, and introduce some notion of time into the language.Figure 4.1 gives a high-level view of the different stages of hardware compilation.

Information

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Book purchase

Temporarily unavailable

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Hardware synthesis
  • Ryan Kastner, University of California, San Diego, Anup Hosangadi, University of California, Santa Barbara, Farzan Fallah, Stanford University, California
  • Book: Arithmetic Optimization Techniques for Hardware and Software Design
  • Online publication: 03 May 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511712180.005
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Hardware synthesis
  • Ryan Kastner, University of California, San Diego, Anup Hosangadi, University of California, Santa Barbara, Farzan Fallah, Stanford University, California
  • Book: Arithmetic Optimization Techniques for Hardware and Software Design
  • Online publication: 03 May 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511712180.005
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Hardware synthesis
  • Ryan Kastner, University of California, San Diego, Anup Hosangadi, University of California, Santa Barbara, Farzan Fallah, Stanford University, California
  • Book: Arithmetic Optimization Techniques for Hardware and Software Design
  • Online publication: 03 May 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511712180.005
Available formats
×