OPTIMIZING THE JAVA VIRTUAL MACHINE INSTRUCTION SET BY ...

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symjpack-t: This benchmark performs symbolic computations including
differentiation and integration.
jpat-p: A tool that performs a protein digestion operation on a protein
sequence containing approximately 62000 elements.
rhino-a: This benchmark is a JavaScript interpreter implemented in
Java. It runs a script on a set of Java source files which verifies that the
@params tags match the formal parameters defined for the corresponding
Java method.
javasrc-p: A set of files containing Java source code are converted into
HTML documents. The output format is similar to that of javadoc.
Linpack: A dense system of linear equations is solved using Gaussian
elimination with partial pivoting.
When profiling was conducted each opcode executed by the application was recorded
along with its operands (if any). Additional information was also recorded for some
bytecodes, allowing a more meaningful analysis to be performed. Those bytecodes
for which extra data was collected, and the nature of that data, are described in the
following paragraphs.
invoke*: A two-byte operand is provided to each of the invoke* bytecodes.
This operand specifies an offset into the constant pool that contains
an element that stores a method reference. Parsing the method
reference provides the method’s fully qualified name and its descriptor.
The method’s descriptor is a string that describes the static types of all of
the method’s arguments and the method’s return type. Consequently, this
information is sufficient to determine many attributes about the method
including what package the invoked method resided in, the number of arguments
passed to the method and how many of the method’s arguments
were object references, doubles, floats, integers and longs.
ldc, ldc w and ldc2 w: Each of these bytecodes defines an offset into
the constant pool which contains a constant value. The extra information
recorded for this bytecode includes both the value of the constant and its
type. Recording this information was valuable for two reasons. First, it
made it possible to evaluate the distribution of the constant values used by