Speedup techniques


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Now that the critical region has been isolated, you can apply two types of optimizations: generic techniques and those specific to Java.

Generic approaches

Language dependent approaches

To put things in perspective, it’s useful to look at the time it takes to perform various operations. So that the results are relatively independent of the computer being used, they have been normalized by dividing by the time it takes to make a local assignment.



Normalized time

Local assignment

i = n;


Instance assignment

this.i = n;


int increment



byte increment



short increment



float increment



double increment



Empty loop

while(true) n++;


Ternary expression

(x<0) ? -x : x


Math call



Array assignment

a[0] = n;


long increment



Method call

funct( );


throw and catch exception

try{ throw e; } catch(e){}


synchronized method call

synchMethod( );


New Object

new Object( );


New array

new int[10];


Using present systems (such as Pentium 200 pro, Netscape 3, and JDK 1.1.5), these relative times show the extraordinary cost of new objects and arrays, the heavy cost of synchronization, and the modest cost of an unsynchronized method call. References [5] and [6] give the Web address of measurement applets you can run on your own machine.

General modifications
Here are some modifications that you can make to speed up time-critical parts of your Java program. (Be sure to test the performance before and after you try them.)





Abstract Class (when only one parent is needed)

Multiple inheritance of interfaces prevents some optimizations.

Non-local or array loop variable

Local loop variable

Time (above) shows an instance integer assignment is 1.2 local integer assignments, but an array assignment is 2.7 local integer assignments.

Linked list (fixed size)

Saving discarded link items or replacing the list with a circular array (in which approximate size is known)

Each new object takes 980 local assignments. See Reusing Objects (below), Van Wyk [12] p. 87 and Bentley[15] p. 81

x/2 (or any power of 2)

X >> 2

(or any power of 2)

Uses faster hardware instructions

Specific situations

The cost of Strings : The String concatenation operator + looks innocent but involves a lot of work. The compiler can efficiently concatenate constant strings, but a variable string requires considerable processing. For example, if s and t are String variables:

System.out.println("heading" + s + "trailer" + t);

this requires a new StringBuffer, appending arguments, and converting the result back to a String with toString( ). This costs both space and time. If you’re appending more than one String, consider using a StringBuffer directly, especially if you can repeatedly reuse it in a loop. Preventing the creation of a new StringBuffer on each iteration saves the object creation time of 980 seen earlier. Using substring( ) and the other String methods is usually an improvement. When feasible, character arrays are even faster. Also notice that StringTokenizer is costly because of synchronization.

Synchronization: In the JDK interpreter, calling a synchronized method is typically 10 times slower than calling an unsynchronized method. With JIT compilers, this performance gap has increased to 50 to 100 times (notice the timing above shows it to be 97 times slower). Avoid synchronized methods if you can – if you can’t, synchronizing on methods rather than on code blocks is slightly faster.

Reusing objects : It takes a long time to create an object (the timing above shows 980 assignment times for a new Object, and 3100 assignment times for a small new array), so it’s often worth saving and updating the fields of an old object instead of creating a new object. For example, rather than creating a new Font object in your paint( ) method, you can declare it an instance object, initialize it once, and then just update it when necessary in paint( ). See also Bentley, Programming Pearls p. 81 [15].

Exceptions: You should only throw exceptions in abnormal situations, which are usually cases in which performance is not an issue since the program has run into a problem that it doesn’t normally expect. When optimizing, combine small try-catch blocks, which thwart compiler optimization by breaking the code into small independent sections. On the other hand, be careful of sacrificing the robustness of your code by over-zealous removal of exception handling.

Hashing: The standard Hashtable class in Java 1.0 and 1.1 requires casting and costly synchronization (570 assignment times). Furthermore, the early JDK library doesn’t deliberately choose prime number table sizes. Finally, a hashing function should be designed for the particular characteristics of the keys actually used. For all these reasons, the generic Hashtable can be improved by designing a hash class that fits a particular application . Note that the HashMap in the Java 1.2 collections library has much greater flexibility and isn’t automatically synchronized.

Method inlining: Java compilers can inline a method only if it is final, private, or static, and in some cases it must have no local variables. If your code spends a lot of time calling a method that has none of these modifiers, consider writing a version that is final.

I/O: Use buffers wherever possible, otherwise you can end up doing I/O a single byte at a time. Note that the JDK 1.0 I/O classes use a lot of synchronization, so you might get better performance by using a single “bulk” call such as readFully( ) and then interpreting the data yourself. Also notice that the Java 1.1 “reader” and “writer” classes were designed for improved performance.

Casts and instanceof : Casts take from 2 to 200 assignment times. The more costly ones require travel up the inheritance hierarchy. Other costly operations lose and restore capabilities of the lower level constructs.

Graphics: Use clipping to reduce the amount of work done in repaint( ), double buffering to improve perceived speed, and image strips or compression to speed downloading times. Animation in Java Applets from JavaWorld and Performing Animation from Sun are two good tutorials. Remember to use high-level primitives; it’s much faster to call drawPolygon( ) on a bunch of points than looping with drawLine( ). If you must draw a one-pixel-wide line, drawLine(x,y,x,y) is faster than fillRect(x,y,1,1).

Using API classes : Use classes from the Java API when they offer native machine performance that you can’t match using Java. For example, arrayCopy( ) is much faster than using a loop to copy an array of any significant size.

Replacing API classes : Sometimes API classes do more than you need, with a corresponding increase in execution time. For these you can write specialized versions that do less but run faster. For example, one application that needed a container to store many arrays was speeded by replacing the original Vector with a faster dynamic array of objects.

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