RawArray.jl (or alternatives..) may be what you need, at least helpful/informative discussion (and looking at code, maybe telling you what you need to know):
https://groups.google.com/forum/#!searchin/julia-users/rawarray%7Csort:relevance/julia-users/ulkiPhGcv-0/TqyX8g9LBwAJ On Thursday, October 13, 2016 at 6:24:27 AM UTC, Michele Zaffalon wrote: > > I need to write a 4 dimensional a array to file and use > > write(f, a). > For sure need that? > What is the canonical binary representation of a > <http://docs.julialang.org/en/release-0.5/stdlib/io-network/#Base.write>? > It looks like the the line above is equivalent to > > Is the canonical binary representation going to be machine and OS > independent > Why shouldn't it be? > (except for the endianness)? What about reshape? > I am porting code from MATLAB and the specs for the file format are > defined by the MATLAB code implementation. > I'm not sure I'm answering you question, but I'm pretty sure, DenseArray s as packed in memory as possible (not sure if your values would be three-byte, if padded to 4-byte): julia> write(STDOUT, [1 2]) 16 julia> write(STDOUT, [0x1 0x2]) 2 I'm pretty sure multidimensional changes nothing, you get Julia order (no gaps), ColumnMajor order wasn't it? Complex numbers are a problem for some reason I didn't look into (see thread), that RawArray handles, but HDF5 (strangel) doesn't. Pointers in arrays would be dangerous.. In the docs, yo point to: You can write multiple values with the same write call. i.e. the following are equivalent: write(stream, x, y...)write(stream, x) + write(stream, y...) Is this for sure true? Not: write(stream, x); write(stream, y...) I like looking up directly what Julia does, e.g.: @edit prod([]) # I do first: ENV["EDITOR"] = "vi" in your case seems to be: prod(f::Callable, a) = mapreduce(f, *, a) * Why do I find SparseArrays (only plural), that I think you do not care about, but DenseArray singular as expected? help?> Sparse
