Virtual Developer Workshop: Containerized Development with Docker
The Standard Template Library bitset class is a useful class suitable for most bitset operations, but if you are dealing with lots of large bitsets, it may be that the stl bitset class is missing a trick.
In many applications using bitsets, you will find that a typical bitset is either sparsely populated with bits, or conversely almost fully set. In these cases, a large bitset can use a lot of memory for what is actually being represented.
Using the Code
Using the CMJBitset class should be simple. Replace bitset<N> in your code with CMJBitset<N> and include the CMJBitset.h header file. Because CMJBitset presents the same interface as bitset, this should be enough to get things working.
Loading/Saving the bitset
The class would not give a fraction of its potential benefit if you were unable to save and load the bitset to and from file. Hence, these member functions:
bool load(FILE *)
bool save(FILE *)
are provided; but perhaps more to the point, all members of the class are public, enabling you to load and save at will.
If you examine MJBitset.h, there are a number of compilation options.
This is used by the example project to test the CMJBitset class. I would also recommend that when trying out the CMJBitset class you do some testing with this as well. As of the current date, a "full coverage" test has not been carried out on the class; therefore, bugs are a definite possibility.
// // When DEBUG_CMMJBITSET is defined, a shadow bitset is kept and // validated against operations. This is obviously very slow // uses loads of memory and defeats any purpose in using this // class and hence should never be used outside of a debug session. // // //#define DEBUG_CMJBITSET
The maximum bitset size you need to deal with
The default is for a maximum of 0xffff.
// // data representation type for bitsets <= 256 // CMJBITSET_USE_CHAR should be defined // //#define CMJBITSET_USE_CHAR #define CMJBITSET_USE_SHORT //#defineCMJBITSET_USE_LONG
The Example Project
The example project is a simple win32 console application that attempts to regress the CMJBitset by creating a succession of bitmaps with random population levels and performing a reasonably comprehensive set of operations on the bitsets.
You easily may alter the regression test to compare performance between CMJBitset and bitset.
Points of Interest
The performance of the CMJBitset class is quite hard to quantify. For bitsets that it does not encode because they are neither full ror sparse, the CMJBitset class is clearly several times slower than bitset.
If you run the example regression test and make it use sparse bitsets, the times will still be a little faster than bitset. But, the comparitive speed will dramatically increase once the operations cease to be completely in memory either due to paging or loading/saving to files.
We have tested the class in the WhereWasI product and seen dramatic reductions in memory usages and very significant speed increases.
It is also notable that some operations with CMJBitset are dramatically faster than bitset. flip(), for example, simply needs to invert the full and sparse representation types.
At the top of the source file, there are a number of compilation options that affect the way CMJBitset allocates memory; the key option is set by default and reserves space within the class for bitsets with up to 4 bits set/unset. This often avoids the overhead of time and memory of using malloc/free, and in our examples is a definite performance bonus. Your mileage may vary and you may want to tune performance by changing some of these values.
- June 14th, 2004 - 1.00 Released.
- June 18th, 2004 - 1.01 Released. - Contains a number of optimisations
- June 22nd, 2004 - 1.02 Released. - Fixes compilation bug with VC7.0. Fixes operator precedence bug that would effect normal bitset performance