Java Card is a Java running environment specific for smart cards. In such low-end embedded systems, the execution time of the applications is an issue of first order. One of the components of the Java Card Virtual Mac...
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Java Card is a Java running environment specific for smart cards. In such low-end embedded systems, the execution time of the applications is an issue of first order. One of the components of the Java Card Virtual Machine (JCVM) playing an important role in the execution speed is the bytecode interpreter. In Java systems the main technique for speeding-up the interpreter execution is the Just-In-Time compilation am, but this resource consuming technique is inapplicable in systems with as restricted resources available as in smart cards. This paper presents a hardware/software co-design solution for the performance improvement of the interpreter. In the software domain, we adopted a pseudo-threaded code interpreter that allows a better run-time performance with a small amount of additional code. In the hardware domain, we proceeded moving parts of the interpreter into hardware, giving origin to a Java Card interpreter based on an application specific instruction set processor. (c) 2015 Elsevier B.V. All rights reserved.
Smart cards are low-end embedded systems used in the fields of telecommunications, banking and identification. Java Card is a reduced set of the Java standard designed for these systems. In a context of scarce resourc...
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ISBN:
(纸本)9789897581373
Smart cards are low-end embedded systems used in the fields of telecommunications, banking and identification. Java Card is a reduced set of the Java standard designed for these systems. In a context of scarce resources such as smart cards, ROM size plays a very important role and dictionary compression techniques help in reducing program sizes as much as possible. At the same time, to overcome the intrinsic slow execution performance of a system based on interpretation it is possible to enhance the interpreter speed by means of specific hardware support. In this paper we apply the dictionary compression technique to a Java interpreter built on an application specific processor. Moreover, we move part of the decompression functionalities in hardware with the aim of speeding up the execution of a compressed application. We obtain a new interpreter that executes compressed code faster than a classic interpreter that executes non-compressed code.
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