It can be used if the work to be done consists of multiple stages. An example of this approach are the Lancer optimizations for the Vorbis audio codec.Ī second method is pipelining. When it comes to complex algorithms, though, not all loops will be parallelizable, limiting the maximum speed-up you can gain with this method. For such optimization, you would usually use something like OpenMP which makes loop parallelization pretty easy. You can spread the work over multiple threads, each doing the operation on a part of the values. A basic example would be multiplying a large array of values with a constant expression.
To make use of low level data parallelism, you look for loops that do the same operation on many data values. Low level data parallelism – parallelizing loops In general, there are three different ways to distribute the work done by an audio codec to multiple CPU cores: So, while a big step forward, the situation was still a little unsatisfying in certain cases which made me explore ways to further optimize the conversion engine. And when combining multiple files into a single output file, there is still only one CPU core used.Ĭonverting less files than there are CPU cores and converting to a single output file When converting less files than there are CPU cores available, it's still inefficient. Parallel conversions, however, only help when there actually are multiple items to convert in the first place. Running multiple conversions at the same time allowed fre:ac to scale almost linearly with the number of CPU cores, compared to converting only one file at a time. The biggest step for the fre:ac project regarding performance was the introduction of a multi-threaded conversion engine in 2014.
#FREAC ENCODE TO SINGLE FILE CRASH DRIVERS#
Introducing SuperFast codec drivers for fre:ac
#FREAC ENCODE TO SINGLE FILE CRASH DOWNLOAD#
Scroll down or click here to download experimental fre:ac builds with this technology. Tl dr: I implemented multi-threaded drivers for Opus Audio as well as the FAAC and Apple Core Audio AAC codecs – more to come. I always liked doing performance optimizations – such projects are often fun to work at and it's very rewarding when an idea actually works out in practice.
0 kommentar(er)
