High speed DSP implementation in run-time partially reconfigurable FPGAs
Name
53884295-MIT.pdf
Description
Full printable version
Size
538.41 KB
Format
Adobe PDF
Checksum (MD5)
208f37dbc117758a1ea582a8adc0125a
Author(s)
McBride, Justin D. (Justin Donald), 1980-
Advisor(s)
Sean Adam and Christopher Terman.
Alternative Title
High speed digital signal processing implementation in run-time partially reconfigurable field programmable gate arrays
Date Issued
2003
Publisher
Massachusetts Institute of Technology
Abstract
This thesis investigates the feasibility of utilizing a run-time partially reconfigurable FPGA to implement a sequence of high-speed digital signal processing filters. Rather than reconfiguring the entire device to modify part of a configuration, a modular architecture is designed to allow smaller segments of the device to be individually reconfigured while the remainder of the device continues to operate. This document describes the design, implementation, simulation, and benchmarking of a five-socket modular DSP architecture and compares the results to the performance of alternative digital signal processing methods, particularly that of software DSP subroutines run on a PowerPC processor. The result is a highly flexible architecture that supports the use of timing verified hardware subroutines that could be partially reconfigured onto the FPGA within 3ms. The highly parallel processing power of the FPGA design yields a performance of 5.825 billion multiply and accumulate operations per second while simulated running at 72.8MHz, more than 76 times faster than similar calculations measured on a MPC7410 processor.
Description
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaves 99-100).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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