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A hardware peripheral for Java bytecodes translation acceleration

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dc.contributor.author Sideris, I en
dc.contributor.author Moshopoulos, N en
dc.contributor.author Pekmestzi, K en
dc.date.accessioned 2014-03-01T02:46:36Z
dc.date.available 2014-03-01T02:46:36Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32746
dc.subject ASIC en
dc.subject Java processor en
dc.subject RISC en
dc.subject stack folding en
dc.subject.other ASIC technologies en
dc.subject.other Hard task en
dc.subject.other Hardware acceleration units en
dc.subject.other Java bytecodes en
dc.subject.other Java processors en
dc.subject.other Java program en
dc.subject.other Just-in-time compilation en
dc.subject.other Speed-ups en
dc.subject.other Electric power supplies to apparatus en
dc.subject.other Embedded systems en
dc.subject.other Java programming language en
dc.subject.other Just in time production en
dc.subject.other Nanotechnology en
dc.subject.other Reduced instruction set computing en
dc.subject.other Computer software en
dc.title A hardware peripheral for Java bytecodes translation acceleration en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1774088.1774201 en
heal.identifier.secondary http://dx.doi.org/10.1145/1774088.1774201 en
heal.publicationDate 2010 en
heal.abstract Java has gained great popularity in a wide range of applications. Just-in-time compilation is crucial for providing efficient execution of Java programs, but it is generally a hard task, not suited for embedded systems. This paper presents a hardware acceleration unit for efficient execution of JIT translation in embedded SoCs. The translation is limited to only first level optimizations, which include translation of Java bytecodes to native RISC instructions (stack folding). For experimentation, we developed a SoC with ARM7TDMI processor. In a f 80nm ASIC technology and 80MHz clock, we measured a speed up of up to 4 times over the software only JIT translation. © 2010 ACM. en
heal.journalName Proceedings of the ACM Symposium on Applied Computing en
dc.identifier.doi 10.1145/1774088.1774201 en
dc.identifier.spage 552 en
dc.identifier.epage 553 en


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