juan rubio

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Characterization of Java Applications at Bytecode and Ultra-SPARC Machine Code Levels

The paper identifies some of the most important execution characteristics of a recent suite of Ja... more The paper identifies some of the most important execution characteristics of a recent suite of Java benchmarks (SPEC JVM98) from a bytecode perspective and while running in an interpreted environment on the Sun Ultra SPARC-II. We instrumented the Java Virtual Machine (JVM) to obtain detailed traces and developed a Java bytecode analyzer environment called Jaba to characterize the applications at the bytecode level. Utilizing Jaba and SPARC profiling tools, we analyze bytecode locality, instruction mix and dynamic method sizes. It is observed that less than 45 out of the 250 Java bytecodes constitute 90% of the bytecode stream. A tri-nodal distribution with peaks of 1, 10 and 27 bytecodes is observed for method size across all benchmarks in the JVM98 suite. For most of the applications, one bytecode is seen to translate into approximately 25 SPARC instructions

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Java Runtime Systems: Characterization and Architectural Implications

IEEE Transactions on Computers, 2001

AbstractÐThe Java Virtual Machine (JVM) is the cornerstone of Java technology and its efficiency ... more AbstractÐThe Java Virtual Machine (JVM) is the cornerstone of Java technology and its efficiency in executing the portable Java bytecodes is crucial for the success of this technology. Interpretation, Just-In-Time (JIT) compilation, and hardware realization are well-known ...

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Understanding and improving operating system effects in control flow prediction

Sigplan Notices, 2002

Many modern applications result in a significant operating system (OS) component. The OS componen... more Many modern applications result in a significant operating system (OS) component. The OS component has several implications including affecting the control flow transfer in the execution environment. This paper focuses on understanding the operating system effects on control flow transfer and prediction, and designing architectural support to alleviate the bottlenecks. We characterize the control flow transfer of several emerging applications on a commercial operating system. We find that the exception-driven, intermittent invocation of OS code and the user/OS branch history interference increase the misprediction in both user and kernel code.

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