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Here I see that DefaultDescriptor is being used to represent mappings for Integer and Date types While it may also be used to map other types, I must focus on one kind of instance at a time I decide to produce a creation method that will create attribute descriptors for Integer types I begin by applyingExtract Method [F] to produce a public, static creation method called forInteger( ):

1 1 1

[31]

protected List createAttributeDescriptors() List result = new ArrayList(); resultadd(

This initial version takes 66 seconds in our test suite when compiled using the optimizer The inner loop has an array index ( n s t a r t i ng [c]) in its loop condition whose value is fixed for each iteration of the outer loop We can avoid recalculating it by saving the value in a local variable:

forInteger("remoteId", getClass(), IntegerTYPE));

public static DefaultDescriptor forInteger() { return new DefaultDescriptor(); }

f o r (j = 0; (C = mesg[jl) != '\O'; j++) { n = n s t a r t i ng [c] ; f o r (i = 0; i < n; i++) { k = s t a r t i n g C c 1 [i] ;

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bourque# tcptrace -n -r em0lpc 1 arg remaining, starting with 'em0lpc' Ostermann's tcptrace -- version 660 -- Tue Nov 4, 2003 1136 packets seen, 1132 TCP packets traced elapsed wallclock time: 0:00:00007234, 157036 pkts/sec analyzed trace file elapsed time: 0:10:49992285 TCP connection info: 1: 192168603:34720 - 1010103:3389 (a2b) 583> 452< 2: 192168603:34717 - 1010103:3389 (c2d) 3> 6< (reset) 3: 1010103:1075 - 17227205:21 (e2f) 46> 36< ** Warning, e2f: detected 23 hardware duplicate(s) (same seq # and IP ID) ** Warning, f2e: detected 18 hardware duplicate(s) (same seq # and IP ID) 4: 17227205:21 - 1010103:1070 (g2h) 4> 2< ** Warning, g2h: detected 2 hardware duplicate(s) (same seq # and IP ID) ** Warning, h2g: detected 1 hardware duplicate(s) (same seq # and IP ID) What's going on here Returning to the full content data already presented in the em0lpc trace, you'll see entries like the following ones

Because forInteger( ) always creates AttributeDescriptor objects for an Integer, there is no need to pass it the value IntegerTYPE:

This drops the time to 59 seconds, about 10% faster, a speedup typical of what tuning can achieve There's another variable we can pull out: s t a r t i ng[cl is also fixed It seems like pulling that computation out of the loop would also help, but in our tests it made no measurable difference This too is typical of tuning: some things help, some things don't and one must measure to find out which And results will vary with different machines or compilers There is another change we could make to the spam filter The inner loop compares the entire pattern against the string but the algorithm ensures that the first character already matches We can therefore tune the code to start memcmp one byte further along We tried this and found it gave about 3% improvement, which is slight but it requires modifying only three lines of the program, one of them in precomputation

protected List createAttributeDescriptors() List result = new ArrayList(); resultadd(forInteger("remoteId", getClass()

, IntegerTYPE));

Don't optimize what doesn't matter Sometimes tuning achieves nothing because it is applied where it makes no difference Make sure the code you're optimizing is where time is really spent The following story might be apocryphal, but we'll tell it anyway An early machine from a now-defunct company was analyzed with a hardware performance monitor and discovered to be spending 50 percent of its time executing the same sequence of several instructions The engineers built a special instruction to encapsulate the function of the sequence, rebuilt the system, and found it made no difference at all; they had optimized the idle loop of the operating system How much effort should you spend making a program run faster The main criterion is whether the changes will yield enough to be worthwhile As a guideline, the personal time spent making a program faster should not be more than the time the speedup will recover during the lifetime of the program By this rule, the algorithmic improvement to i sspam was worthwhile: it took a day of work but saved (and continues to save) hours every day Removing the array index from the inner loop was less dramatic, but still worth doing, since the program provides a service to a large community Optimizing public services like the spam filter or a library is almost always worthwhile; speeding up test programs is almost never worthwhile And for a program that runs for a year, squeeze out everything you can It may be worth restarting if you find a way to make a ten percent improvement even after the program has been running for a month

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