How does vectorization in MATLAB work?

I wonder how MATLAB works with vectorized operations?

Data1 = fread(fin1, 10e6, 'uint8');
Data2 = fread(fin2, 10e6, 'uint8');
DiffA = diff(Data1);
DiffB = diff(Data2);

Does MATLAB use a kind of SIMD parallelism to execute this code? Does it use a vector processor (like a GPU) or it just using system cores (in a multicore system)?

Solution

MATLAB uses JIT to speed-up computations. I've found no explicit info on JIT, only general suggestions. In my own use cases I prefer thinking of it as Java JIT, since optimization techniques match closely. MATLAB had done 4 major steps in improving performance:

In R13 (2002) JIT was introduced
In R2006b in-place computation without temp storage was introduced, see details on page 7 of the document
In R2007a multithreading (in engine, not in Parallel toolbox) was introduced, in R2008 in was widely adopted
In R2016 was introduced new engine with JIT widely adopted

For little more details pleasee see this blog post, the comments can be really useful. The main thing I got to know is that in newer releases "clean all" removes precompiled in the session code. Yair Altman tinkered JIT and wrote a perfect book on MATLAB performance. Some details on guts and usage of MATLAB JIT are available here. For introduction on performance I'd recommend to start with official manual