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IdealGraphVisualizer is a Perl script that can be used to view compiler graphs for the HotSpot server compiler.
It takes a file with a graph in dot format or JSON format and produces a rendering of the graph in an external HTML page.
IdealGraphVisualizer can be used to visualize graph data for different applications.
For the purposes of this article, ideal graphs were generated from the following three data sets:
The first data set generated were linear integer arrays.
The second data set uses the symbolic constant data type to create integer arrays.
The third data set is an outline of a compiler with functions, class definitions and type declarations.
IdealGraphVisualizer can produce static and time-varying graphs.
It also calculates a few metrics on the graph such as the number of nodes, the number of edges and the maximum number of labels.
IdealGraphVisualizer Usage:
IdealGraphVisualizer can be used to visualize the evolving compiler graph in several ways:
In the static case, IdealGraphVisualizer creates an HTML page that displays all nodes, edges, edges with labels and a time counter.
It also provides a way to quickly look at the evolution of the graph over time.
In the dynamic case, IdealGraphVisualizer creates a graph visualization that auto-updates over time.
In this case, IdealGraphVisualizer can be used to produce a simple bar chart that can be interacted with.
The bar chart shows the number of nodes, the number of edges and the maximum number of labels.
In the optional multi-window mode, the UI can be split into several vertical tabs.
This allows the user to view different types of graphs at the same time.
The multi-window mode is only available in the dynamic graph case.
The following sections go into more details on IdealGraphVisualizer usage.
IdealGraphVisualizer is packaged in a self-contained Perl script that comes with all the files and dependencies needed to run it.
Running IdealGraphVisualizer includes the following steps:
Download:
Download the idealgraphviz module and unzip it in any location of your choosing.
If running in a Windows operating system, this means moving the idealgraphviz.zip file to your Windows C: drive (C:\).
Alternatively, the idealgraphviz module can be manually installed using the following command:
perl -MCPAN -e ‘install idealgraphviz’
Prep
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The ideal graph is a completely ordered tree data structure that provides a number of services for compiler optimizations.
An ideal graph is made of “nodes”, which are the nodes of the flow graph, and “edges”, which are what the flow graph uses to define the order of basic blocks.
Edge numbers are assigned by the compiler, but they can be used to identify any edge-based disjoint path.
Two nodes with the same index will always have the same number of edges in between.
If a node has a right edge, it will always have an edge to its immediate left.
If a node is linked to a right node, then that node is called its “child”.
If a node is linked to a left node, then that node is called its “parent”.
If a node is at the root of the ideal graph, then it is called its “parent root”.
The compiler’s caching of local variables makes it possible to determine the index of a local variable by knowing the name of the variable, the index of the block it is used in, the index of the block it’s passed in, and the index of the block it is passed out of.
Because the ideal graph provides the index of nodes relative to the parent root, it is used to order blocks by their indices, making the index an ordering of all blocks in the graph.
The index can be used to find a node’s index relative to another node, making it possible to find the index of all variables in the scope of a node.
The index is also used to determine which blocks can safely be merged without affecting the basic block order.
A block with a higher index is strictly above a block with a lower index.
In particular, a block with a higher index can always be merged into a block with a lower index.
If a block has fewer than two entries, then its index is determined by the index of its entry.
In this case, there is no parent, because it is not possible to be a left child of itself.
IdealGraphVisualizer Usage:
To visualize a parse tree, you must create a graph object and then apply it to the parse tree.
The code below shows how to create an IdealGraph object with the BitSet values that contain all of the edges.
* * *package com.ibm.swg.ideal.graph.*;*public class IdealGraphVisualizer {* * * * * * * * * *
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Graphs are data structures used to represent
a series of arbitrary vertices and arcs,
joined by simple relationship graphs.
Mathematically, a graph is an
ordered pair (V,A), where V is a set of
vertices and A is a set of arcs such that
each vertex is named and an arc connects
any two vertices.
A compiler graph is a special kind of
graph used to represent the profile
states, edge flows, and transition
probabilities of a compiler.
The profiles of a running program
form the vertices of a compiler
graph, and the program’s execution
edges (for a deterministic profile) or
program flow edges (for a
non-deterministic profile) represent
the flow of the program from state to
state. Each state represents a compiled
and/or disassembled instruction.
Tutorial:
This tutorial guides you through
creating a compiler graph, working
with it in IdealGraphVisualizer,
opening it in Wolfram Mathematica,
and viewing the results with Mathematica’s
built-in graphical capabilities.
The first step is to define a simple
graph template.
Typing the following into your
command window:
N[3,25]
Edges[Subgraph[{Subgraph[{4, 5}, {“c”, 4},
“e”, 5}, {4, 5}], 5]]
You will see something similar
to this output (given a
dictionary describing your graph):
3–10
5–21
45–50
51–63
Arcs are also given a dictionary
description, which is the key to the
edges dictionary.
Now that we’ve created a graph, it
is time to populate it with data.
Let’s create a profile for a simple
program, such as:
Print[4]
10
20
30
You can simply type the numbers
into your command window and click
Apply.
Your graph will be updated with the
resulting number of states.
A compiled program can be stored in
an instruction, which is essentially
a data structure holding the
address of its sequence of assembly
instructions.
Here is the
What’s New In IdealGraphVisualizer?
2-Tier: front-end, back-end
Graph visualization
Open source
IdealGraphVisualizer on GitHub
Overexpression of the fatty-acid binding protein gene in rat liver by the peroxisome proliferator WY-14,643.
The peroxisome proliferator, clofibrate, has been shown to increase mRNA levels for fatty-acid binding proteins (FABPs) in mouse and rat liver. To establish a direct relation between peroxisome proliferation and FABP gene expression, we have produced a rat model for this action with the chemical peroxisome proliferator, WY-14,643. Six hours after oral administration of WY-14,643, rat liver cytosol showed 30% more FABP mRNA than controls. The increase was sustained for > 72 hr after dosing, and the increase was greater for the more hydrophobic forms (hFABPs a and b) than for the more hydrophilic form (hFABP c). Expression of the rat FABP genes is clustered. There was a highly significant correlation (r = 0.84) between the relative level of FABP mRNA and total peroxisomal 3-oxoacyl CoA thiolase enzyme activity, a measure of peroxisomal proliferation. Similarly, these parameters were well correlated (r = 0.82) in WY-14,643-treated rats. We conclude that FABP overexpression in rat liver is a direct consequence of peroxisome proliferation.The present invention relates to an image processing apparatus and a processing method thereof, more particularly to an image processing apparatus and a processing method thereof for supplying reproduced image data to a user.
In recent years, image processing systems are used for reproduction of images in printing, copying, facsimile and the like. For example, the following has been known. In reproduction of image data, a user designates a position (corresponding to the print position in printing) where an image is to be reproduced in image data, and the image processing apparatus sets a recorded position at the designated position as a printing position.
However, the image processing systems of the past have to rely on information input by a user, and therefore they need user’s input in a case of reproduction of an image. Further, an image processing apparatus of the past has been not necessarily designed so as to display a degree of influence
System Requirements For IdealGraphVisualizer:
• Requires a 64-bit processor and operating system.
• 2 GB of RAM minimum.
• 8 GB of available space.
• A DirectX 9.0 compatible video card with at least 1 GB of dedicated video RAM.
• Internet connection required for multiplayer and online leaderboards.
• All online features are subject to server fees.
• We’ve improved the game’s performance on PC, reducing the CPU use from 30% to 20%.
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