This is done by taking each stream of data on read in into separate buffers for up to as many threads as CPUs.
As each thread's data becomes available, feed it into runzip once it is requests more of the stream.
Provided there are enough chunks in the originally compressed data, this provides a massive speedup potentially proportional to the number of CPUs. The slower the backend compression, the better the speed up (i.e. zpaq is the best sped up).
Fix the output of zpaq compress and decompress from trampling on itself and racing and consuming a lot of CPU time printing to the console.
When limiting cwindow to 6 on 32 bits, ensure that control.window is also set.
When testing for the maximum size of testmalloc, the multiple used was out by one, so increase it.
Minor output tweaks.
Place the data from each stream into a buffer that then is handed over to one thread which is allowed to begin doing the backend compression while the main rzip stream continues operating.
Fork up to as many threads as CPUs and feed data to them in a ring fashion, parallelising the workload as much as possible.
This causes a big speed up on the compression side on SMP machines.
Thread compression is limited to a minimum of 10MB compressed per thread to minimise the compromise to compression of smaller windows.
Alter the progress output to match some of the changes in verbose modes.