Title
Pipelining Of Double Precision Floating Point Division And Square Root Operations
Keywords
Division; Floating point; FPGA; Pipelining; Square root
Abstract
Space applications rely increasingly on high data rate DSP algorithms. These algorithms use double precision floating point arithmetic operations. While most DSP applications can be compiled on DSP processors, high data rate DSP computations require novel implementation technologies to support their high throughputs. Only recently, gate densities in FPGAs have reached a level which makes them attractive platforms to implement compute-intensive DSP applications. In this context, this paper presents the sequential and pipelined designs of a double precision floating point divider and square root unit on FPGAs. Contrary to pipelined parallel implementations, the pipelining of these units is based on unrolling the iterations in low-radix digit recurrence algorithms. These units are mapped on generic FPGA reconfigurable fabric without taking advantage of any advanced architectural components available in high capacity FPGAs. The implementations of these designs show that their performances are comparable to, and sometimes higher than, the performances of non-iterative designs based of high radix numbers. The iterative divider and square root unit occupy less than 1% of an XC2V6000 FPGA chip while their pipelined counterparts can produce throughputs that reach the 100 MFLOPS mark by consuming a modest 8% of the chip area.
Publication Date
12-1-2006
Publication Title
Proceedings of the Annual Southeast Conference
Volume
2006
Number of Pages
488-493
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1145/1185448.1185555
Copyright Status
Unknown
Socpus ID
34248327871 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34248327871
STARS Citation
Thakkar, Anuja Jayraj and Ejnioui, Abdel, "Pipelining Of Double Precision Floating Point Division And Square Root Operations" (2006). Scopus Export 2000s. 7733.
https://stars.library.ucf.edu/scopus2000/7733