c# ean 13 check Code-Tuned Time 3.80 1.80 in Visual C#

Printer EAN-13 in Visual C# Code-Tuned Time 3.80 1.80

Code-Tuned Time 3.80 1.80
Drawing UPC - 13 In Visual C#
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Language C++ Visual Basic
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Straight Time 4.33 3.54
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Print EAN / UCC - 13 In .NET Framework
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Time Savings 12% 49%
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Note: Benchmark performed with saleCount equals 20. All computed variables are floating point.
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26.3 Data Transformations
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Changes in data types can be a powerful aid in reducing program size and improving execution speed. Data-structure design is outside the scope of this
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de Complete
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26. Code-Tuning Techniques
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Page 18
Create Barcode In Java
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book, but modest changes in the implementation of a specific data type can also benefit performance. Here are a few ways to tune your data types.
Use Integers Rather Than Floating-Point Numbers
For floating point, see 12, Fundamental Data Types.
5 CROSS-REFERENCE
6 details on using integers and
Integer addition and multiplication tend to be faster than floating point. Changing a loop index from a floating point to an integer, for example, can save time. Here s an example:
Visual Basic Example of a Loop That Uses a Time-Consuming FloatingPoint Loop Index
Dim i As Single For i = 0 to 99 x( i ) = 0 Next
Contrast this with a similar Visual Basic loop that explicitly uses the integer type:
Visual Basic Example of a Loop That Uses a Timesaving Integer Loop Index
Dim i As Integer For i = 0 to 99 x( i ) = 0 Next
How much difference does it make Here are the results for this Visual Basic code and for similar code in C++ and PHP:
CodeTuned Time 0.801 4.65 0.280
Language C++ PHP Visual Basic
Straight Time 2.80 5.01 6.84
Time Savings 71% 7% 96%
Performance Ratio 3.5:1 1:1 25:1
Use the Fewest Array Dimensions Possible
Conventional wisdom maintains that multiple dimensions on arrays are expensive. If you can structure your data so that it s in a one-dimensional array rather than a two-dimensional or three-dimensional array, you might be able to save some time. Suppose you have initialization code like this:
For details on arrays, see Section 6 12.8, Arrays.
5 CROSS-REFERENCE
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26. Code-Tuning Techniques
Page 19
Java Example of a Standard, Two-Dimensional Array Initialization
for ( row = 0; row < numRows; row++ ) { for ( column = 0; column < numColumns; column++ ) { matrix[ row ][ column ] = 0; } }
When this code is run with 50 rows and 20 columns, it takes twice as long with my current Java compiler as when the array is restructured so that it s onedimensional. Here s how the revised code would look:
Java Example of a One-Dimensional Representation of an Array
for ( entry = 0; entry < numRows * numColumns; entry++ ) { matrix[ entry ] = 0; }
Here s a summary of the results, with the addition of comparable results in several other languages:
CodeTuned Time 7.82 2.99 4.14 4.10 2.23 3.22
Language C++ C# Java PHP Python Visual Basic
Straight Time 8.75 3.28 7.78 6.24 3.31 9.43
Time Savings 11% 9% 47% 34% 32% 66%
Performance Ratio 1:1 1:1 2:1 1.5:1 1.5:1 3:1
Note: Times for Python and PHP aren t directly comparable to times for the other languages because they were run <1% as many iterations as the other languages.
The results of this optimization are excellent in Visual Basic and Java, good in PHP and Python, but mediocre in C++ and C#. Of course the C++ compiler s unoptimized time was easily the best of the group, so you can t be too hard on it. This wide range of results also show the hazard of following any code-tuning advice blindly. You can never be sure until you try the advice in your specific circumstances.
Minimize Array References
In addition to minimizing accesses to doubly or triply dimensioned arrays, it s often advantageous to minimize array accesses, period. A loop that repeatedly uses one element of an array is a good candidate for the application of this technique. Here s an example of an unnecessary array access:
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26. Code-Tuning Techniques
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C++ Example of Unnecessarily Referencing an Array Inside a Loop
for ( discountType = 0; discountType < typeCount; discountType++ ) { for ( discountLevel = 0; discountLevel < levelCount; discountLevel++ ) { rate[ discountLevel ] = rate[ discountLevel ] * discount[ discountType ]; } }
The reference to discount[ discountType ] doesn t change when discountLevel changes in the inner loop. Consequently, you can move it out of the inner loop so that you ll have only one array access per execution of the outer loop rather than one for each execution of the inner loop. The next example shows the revised code.
C++ Example of Moving an Array Reference Outside a Loop
for ( discountType = 0; discountType < typeCount; discountType++ ) { thisDiscount = discount[ discountType ]; for ( discountLevel = 0; discountLevel < levelCount; discountLevel++ ) { rate[ discountLevel ] = rate[ discountLevel ] * thisDiscount; } }
Here are the results:
Code-Tuned Time 34.5 17.0 18.4
Language C++ C# Visual Basic
Straight Time 32.1 18.3 23.2
Time Savings -7% 7% 20%
Note: Benchmark times were computed for the case in which typeCount equals 10 and levelCount equals 100.
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