Power-efficient mapping of large applications on modern heterogeneous FPGAs
The increasing size of modern FPGAs allows for ever more complex applications to be mapped onto them. However, long design implementation times for large designs can severely affect design productivity. A modular design methodology can improve design productivity in a divide and conqueror fashion bu...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/147714 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-147714 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1477142021-12-08T12:57:21Z Power-efficient mapping of large applications on modern heterogeneous FPGAs Herath, Kalindu Prakash, Alok Fahmy, Suhaib A. Srikanthan, Thambipillai School of Computer Science and Engineering Engineering::Computer science and engineering Field Programmable Gate Arrays Floorplanning The increasing size of modern FPGAs allows for ever more complex applications to be mapped onto them. However, long design implementation times for large designs can severely affect design productivity. A modular design methodology can improve design productivity in a divide and conqueror fashion but at the expense of degraded performance and power consumption of the resulting implementation. To reduce the dominant power dissipation component in FPGAs, the routing power, methodologies have been proposed that consider data communication between modules during module formation and placement on the FPGA. Selecting proper mapping region on target FPGAs, on the other hand, is becoming a critical process because of the heterogeneous resources and column arrangements in modern FPGAs. Selecting inappropriate FPGA regions for mapping could lead to degraded performance. Hence, we propose a methodology that uses communication-aware module placement, such that modules are mapped by selecting the best shape and region on the FPGA factoring the columnar resource arrangements. Additionally, techniques for module locking and splitting have been proposed for deterministic convergence of the algorithm and for improved module placement. This methodology exhibits nearly 19% routing power reduction with respect to commercial CAD flows without any degradation in achievable performance. Accepted version 2021-12-08T12:57:20Z 2021-12-08T12:57:20Z 2020 Journal Article Herath, K., Prakash, A., Fahmy, S. A. & Srikanthan, T. (2020). Power-efficient mapping of large applications on modern heterogeneous FPGAs. IEEE Transactions On Computer-Aided Design of Integrated Circuits and Systems, 40(12), 2508-2521. https://dx.doi.org/10.1109/TCAD.2020.3047722 0278-0070 https://hdl.handle.net/10356/147714 10.1109/TCAD.2020.3047722 2-s2.0-85099091987 12 40 2508 2521 en IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems © 2020 IEEE. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Computer science and engineering Field Programmable Gate Arrays Floorplanning |
spellingShingle |
Engineering::Computer science and engineering Field Programmable Gate Arrays Floorplanning Herath, Kalindu Prakash, Alok Fahmy, Suhaib A. Srikanthan, Thambipillai Power-efficient mapping of large applications on modern heterogeneous FPGAs |
description |
The increasing size of modern FPGAs allows for ever more complex applications to be mapped onto them. However, long design implementation times for large designs can severely affect design productivity. A modular design methodology can improve design productivity in a divide and conqueror fashion but at the expense of degraded performance and power consumption of the resulting implementation. To reduce the dominant power dissipation component in FPGAs, the routing power, methodologies have been proposed that consider data communication between modules during module formation and placement on the FPGA. Selecting proper mapping region on target FPGAs, on the other hand, is becoming a critical process because of the heterogeneous resources and column arrangements in modern FPGAs. Selecting inappropriate FPGA regions for mapping could lead to degraded performance. Hence, we propose a methodology that uses communication-aware module placement, such that modules are mapped by selecting the best shape and region on the FPGA factoring the columnar resource arrangements. Additionally, techniques for module locking and splitting have been proposed for deterministic convergence of the algorithm and for improved module placement. This methodology exhibits nearly 19% routing power reduction with respect to commercial CAD flows without any degradation in achievable performance. |
author2 |
School of Computer Science and Engineering |
author_facet |
School of Computer Science and Engineering Herath, Kalindu Prakash, Alok Fahmy, Suhaib A. Srikanthan, Thambipillai |
format |
Article |
author |
Herath, Kalindu Prakash, Alok Fahmy, Suhaib A. Srikanthan, Thambipillai |
author_sort |
Herath, Kalindu |
title |
Power-efficient mapping of large applications on modern heterogeneous FPGAs |
title_short |
Power-efficient mapping of large applications on modern heterogeneous FPGAs |
title_full |
Power-efficient mapping of large applications on modern heterogeneous FPGAs |
title_fullStr |
Power-efficient mapping of large applications on modern heterogeneous FPGAs |
title_full_unstemmed |
Power-efficient mapping of large applications on modern heterogeneous FPGAs |
title_sort |
power-efficient mapping of large applications on modern heterogeneous fpgas |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/147714 |
_version_ |
1718928681796108288 |