Rapid development of Gzip with MaxJ

Nils Voss*, Tobias Becker, Oskar Mencer, Georgi Gaydadjiev

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)


Design productivity is essential for high–performance application development involving accelerators. Low level hardware description languages such as Verilog and VHDL are widely used to design FPGA accelerators, however, they require significant expertise and considerable design efforts. Recent advances in high–level synthesis have brought forward tools that relieve the burden of FPGA application development but the achieved performance results can not approximate designs made using low–level languages. In this paper we compare different FPGA implementations of gzip. All of them implement the same system architecture using different languages. This allows us to compare Verilog, OpenCL and MaxJ design productivity. First, we illustrate several conceptional advantages of the MaxJ language and its platform over OpenCL. Next we show on the example of our gzip implementation how an engineer without previous MaxJ experience can quickly develop and optimize a real, complex application. The gzip design in MaxJ presented here took only one man–month to develop and achieved better performance than the related work created in Verilog and OpenCL.

Original languageEnglish
Title of host publicationApplied Reconfigurable Computing - 13th International Symposium, ARC 2017, Proceedings
EditorsAntonio Carlos Beck, Luigi Carro , Stephan Wong, Koen Bertels
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783319562575
Publication statusPublished - 1-Jan-2017
Externally publishedYes
Event13th International Symposium on Applied Reconfigurable Computing, ARC 2017 - Delft, Netherlands
Duration: 3-Apr-20177-Apr-2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10216 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Symposium on Applied Reconfigurable Computing, ARC 2017
City Delft

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