Which is the best algorithm to compress integers?
I have a large array with a range of integers that are mostly continuous, eg 1-100, 110-160, etc. All integers are positive. What would be the best algorithm to compress this? I tried the deflate algorithm but that gives me only 50% compression. Note that the algorithm cannot be lossy. All numbers are unique and progressively increasing.
Is there a way to uncompress an integer?
It requires just a few lines of code to uncompress an integer: However, the variable byte compression is relatively slow. There are just too many ” if ” branches which are impossible to predict for the CPU. Therefore the CPU cannot run multiple instructions in parallel, and the CPU pipeline stalls frequently.
Which is an example of an integer compression library?
The table itself contains parameters for another SSE instruction, pshufb, which then rearranges the bytes. Here is an example code which uses the Masked Vbyte library. It uses delta compression, and it has functions to lookup values or to select an integer from a compressed sequence, without decompressing it.
Why do you need a lossless compression algorithm?
You have to consider that compression – by which I assume you mean lossless compression – equates to the removal of redundant information. If you write 12,12,12,12,12 there’s redundance and you can write it as 12*5. So you need to find the information that you can make redundant.
How are 32 bits used in data compression?
If it is unset (0), the value following it is encoded using 32 bits. In our data set, it means that we are actually expanding our 32 bits into 33 bits for all values that require more than 16 bits of space, but we are simultaneously reducing the space needed by the rest by 15 bits!
Which is the best software for data compression?
We all use compression software such as 7-zip or gzip to compress our data, often compressing text files to 30% of their original size or less. Compression is used heavily in games.