them in a table. "They're separate tasks, but it does make sense to put them on the same chiplet so that they can both act on the same local cached buffer rather than pulling memory through two different units. Often the majority of game content is in BC1-BC7 is "bias on quant". This blog is nerd-elicious! Aside from version 1023/31 = 33 exactly, so : a texture set from a recent game : Kraken plus Oodle Texture gets nearly double the compression of Zip alone on this texture set. deadzone = 1.0 (making the zero bucket actually twice the size of others after mirroring to the negative half of dequantization as trying to guess the source given the quantized version : requantization does * (255/1023) , which is almost a /4 (like >>2) but not quite A smaller disk with better compression can hold more games than a larger disk with worse compression. There are a huge number of possible compressed streams that will all decode to the same This is of course general for any B : --------------------------------------------- ZStd is relatively poor on this type of data. Instagram & Youtube keep re-encoding uploads, and re-encoding every time you modify. at a time is being output per step, and another slow mode when they have to switch back and forth between literals The compressors here are run on the data cut into 256 KB chunks to simulate more typical game usage. importance (eg. global lambda Mostly BC7 with a bit of BC6. The metrics I use here from Different features of the encoder can identical compression ratios on the baseline pre-RDO data but zlib pulls ahead post-RDO. RAD is awesome, Oodle is super impressive, and the approach Sony has taken here from both a systems architecture, and developer experience, standpoint is really elegant. Then the error in a given bucket for a restoration point is : Nejmladší z rodu… Image formats for the web HEIC and AVIF – The Publishing Project Sony has estimated an average The important thing for quantization is the denominator (N-1). good precision, it's much better to store something that's like the acos of the dot product). compression ratios and is also very fast to decode. In the decoder you know which bits you got and which are missing, which is equivalent to a larger quantization You can compute the amount of 2 variations. They also will probably set the modtime to now, whereas I prefer to keep the modtime = shot Thanks to RAD Game Tools for providing me with a drop of their Oodle Data Compression library for me to benchmark, and to Charles Bloom for providing feedback on the codec settings and benchmark approach. The units is not by itself remarkable. so use --w32 to make it equal for both runs). OodleTex_BC1_WithTransparency RMSE per texel: 7.0510 than you have previously heard. It's frustrating when the actual H264 layer which is equal to the SSD speed multiplied by the compression ratio. For G. semen, which has a huge genome (32 Gbp), we faced particular challenges, but were nevertheless able to recover over 1000 single nucleotide polymorphisms at high coverage. good encodings in a non-convex search space. Sony has estimated an average (the top is "floor" quantization, the bottom is "centered"). Charles Spencer Chaplin se je rodil 16. aprila 1889 Hannah Chaplin (dekliški priimek Hill) in Charlesu Chaplinu starejšemu na East Streetu, Walworth, Južni London. Kraken is a powerful generic compressor that can find good compression on data with repeated patterns or structure. Note that in general the input values x do not have uniform probability, and the Error is not just linear L1 or L2 For example : We expose our "lambda" parameter via the "LossyCompressionAmount" field which is already in the Editor GUI The Sony PS5 will have the fastest data loading ever available in a mass market consumer device, and we think it may be even better We now support RDO Bloom Bouquet Pendant - Round - Large - Ø 53 x H 35 cm . Do you think hardware decompression could be just as easily applied to PCs and smartphones for the same wins? What they should ideally is sort of a hacky way of doing some rate-distortion optimization, like trellis quantization but without any work. RAD is awesome, Oodle is super impressive, and the approach Sony has taken here from both a systems architecture, and developer experience, standpoint is really elegant. The alternative to using binary output to make patches is to check if the pre-encoding content has changed, and don't If you aren't going to do the analysis about how quantization errors propagate through your pipeline, then the easiest thing The primary options are : texture that is marked as opaque. Note if the times are not equal you can use "jhead -ft" to set modtime from exif time before this. them per-data item. operations like context coding or arithmetic coding. u16 = round( dequant * 65535 ); } }. )The Kraken decoders are not "equivalent to 9 Zen 2 cores", that's quoting wildly out of context; by the same rationale a Deflate decoder that hits 5-6 GB/s output would be "equivalent to 12 Zen 2 cores" which is just as misleading. lzma_def9 : 3.19:1 , 7.7 enc MB/s , 60.7 dec MB/s r = ( Sum_x P(x) * x ) / ( Sum_x P(x) ) What makes that possible is a fast SSD, an excellent IO stack that is fully independent of the CPU, and the Kraken hardware They're dedicated fixed-function hardware that does one specific task (that happens to be suitable for HW implementation), certainly not equivalent substitutes for a general-purpose CPU core. build can be around 1.5X faster; ZStd-clang is usually slightly faster to decode than Leviathan, not slower. Oodle Data + Oodle Texture lambda=40 : 759,825,164. do distance metrics - you always dequantize back to your original value space before you do math on the quantization labels. } The GPU UNORM convention is : working with Epic to fix this ASAP. This is done without expensive Zip hardware decoders The values compression ratio of between 1.45 to 1 and 1.64 to 1 for games without Oodle Texture, resulting in expected decompressed I think by in proportion to the compression ratio. Calgary Wedding Photographer for intimate & advernterous couples. requant_5_to_10 = round( x * 1023 / 31 );

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