9/21/2023 0 Comments Xrecode resampler![]() ![]() Input file format are flac, wav w/ cue, alac m4a.Input tracks in almost are, others in,.Input: A Folder contain 663 subfolders (~4310 tracks) around 257GB.Thank you for rich information, and here is my latest conversion setting: Are input files or output folder on an external volume?.The sample format of the input files (e.g.How many input files, and which format?.Please let me know what kind of conversion you were doing. I plan to add multi-threaded decoding to improve this at some point. For this reason, encoding WAV to MP3 can be up to twice as fast as encoding FLAC to MP3. When using SuperFast mode with a single output file, it can happen that the decoder cannot provide data fast enough to keep all encoding threads busy.With 10 threads this effect should be relatively small, though. When using many threads, the management effort increases and it happens more often that a thread is waiting for data to be delivered.Especially when the source or target folder is on an external hard-drive and lossless formats like WAV, FLAC or ALAC are involved.Īlso, there still is room for optimization in fre:ac, which I plan to make use of in the future to further increase possible CPU utilization: In some cases, I/O can be a bottleneck.This is single-threaded and will prevent SuperFast mode from being effective. When converting non-48 kHz input files to Opus, a resampler is used to bring the files to the 48 kHz needed for Opus.Certain settings for the LAME MP3 encoder cause SuperFast mode to be disabled (usually with low bitrates, when the settings lead to the output being downsampled).For other codecs, there will be only one encoding thread per output file. These include Core Audio, LAME, Opus and Speex. ![]() Also, only some encoders support SuperFast mode.The same goes for combining several input files into a single output file using the Encode to a single file option.fre:ac can use it's SuperFast mode with some codecs to still encode with more threads than the number of input files, but this is less efficient than converting a large number of files. When the number of files being converted is smaller than the number of CPU cores, CPU utilitzation will go down.You will see only 1-2% CPU utilization from fre:ac in that case. The most obvious would be CD ripping, where fre:ac can only encode as fast as the CD drive can provide the data, which is very slow.There are many things that can prevent fre:ac from actually using all available cores and even if it does, there are still things that can prevent it from utilizing them 100%. So the total number of work threads will already be 20 in that case.Īre you sure you are running a workload that allows fre:ac to actually run 10 parallel conversions? That would mean 20 threads running and according to what you're writing they are all scheduled on the 2 efficiency cores while the 8 performance cores are idling? That doesn't sound like it can be right. The 10 threads actually are encoding threads and for each encoding thread there will be a decoding thread when converting multiple files at once. I'm not sure that the number of threads is the issue here. ![]()
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