Torch7 – Scientific computing for LuaJIT

Re:Torch7 – Scientific computing for LuaJIT by smhx on Sunday June 22, 2014 @11:28PM (#7930075)

my biggest annoyance with LuaJIT is the lack of 64-bit addressing, and there's no easy fix for this. Mike Pall said he'd fix it in LuaJIT 3.0 (with an overhaul of the GC), whenever that'll be.

http://hacksoflife.blogspot.com/2012/12/integrating-luajit-w...

Edit: to clarify, this does not mean torch cant use more than 2GB, but native lua allocations cant be more than 2GB, so ffi-based or C based allocations (which is how torch tensors are allocated) have no such limits.

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Re:Torch7 – Scientific computing for LuaJIT by neomantra on Monday June 23, 2014 @09:08AM (#7931695)

This is a big annoyance for me as well. I use jemalloc to make sure that my FFI allocations don't 'steal' this lower memory from my pure Lua allocations. It works great on Linux, but only so-so on OSX.

http://www.canonware.com/pipermail/jemalloc-discuss/2014-Feb...

https://gist.github.com/neomantra/9122165

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