From 7623075e7804920c2b392b8d2452ee03033bc25d Mon Sep 17 00:00:00 2001 From: 94b1 <94b1@users.noreply.github.com> Date: Wed, 31 Aug 2016 11:50:21 -0600 Subject: [PATCH] Changed URLs Changed URLs to reflect change in ownership from and reduce page load times of zstd.net due to multiple redirects --- index.html | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/index.html b/index.html index 2da5a3dee..84833e6bd 100644 --- a/index.html +++ b/index.html @@ -43,7 +43,7 @@ @@ -118,10 +118,10 @@ compiled with gcc 5.2.1, on the [Silesia compression corpus]. | Compression Speed vs Ratio | Decompression Speed | | ---------------------------|-------------------- | -| Compression Speed vs Ratio | Decompression Speed +| Compression Speed vs Ratio | Decompression Speed Several algorithms can produce higher compression ratio but at slower speed, falling outside of the graph. -For a larger picture including very slow modes, [click on this link](https://raw.githubusercontent.com/Cyan4973/zstd/master/images/DCspeed5.png) . +For a larger picture including very slow modes, [click on this link](https://raw.githubusercontent.com/facebook/zstd/master/images/DCspeed5.png) . ### The case for Small Data compression @@ -132,7 +132,7 @@ This problem is common to any compression algorithm. The reason is, compression To solve this situation, Zstd offers a __training mode__, which can be used to tune the algorithm for a selected type of data, by providing it with a few samples. The result of the training is stored in a file called "dictionary", which can be loaded before compression and decompression. Using this dictionary, the compression ratio achievable on small data improves dramatically : -Compressing Small Data +Compressing Small Data These compression gains are achieved while simultaneously providing faster compression and decompression speeds. -- 2.47.2