That is super cool. I would never have come up with the casting trick from the examples currently on the site.
On 12/10/2014 2:12 PM, Aleksandar Kordic wrote:
This http://pastebin.com/EghuB2BV is a little faster. elap allocate ffi 0.003 sec elap fill ffi array 0.001 sec elap sum the ffi arrray 42.049 sec elap sum the ffi arrray in reverse 52.804 sec elap fill native table 0.0069999999999908 sec elap sum the lua arrray 53.733 sec elap sum the lua arrray in reverse 53.535 secOn Wed, Dec 10, 2014 at 9:56 PM, Joe Ellsworth <joexdobs@xxxxxxxxx <mailto:joexdobs@xxxxxxxxx>> wrote:Good catch. Corrected code is http://pastebin.com/jniGqHyp The FFI code is still a little faster but not by much. I added asserts at end to double check the sums match. Should have done that at the first. elap allocate ffi 0.015sec elap fill ffi array 0sec elap sum the ffi arrray 48.564sec elap sum the ffi arrray in reverse 48.406sec elap fill native table 0sec elap sum the lua arrray 50.404sec elap sum the lua arrray in reverse 50.748sec On 12/10/2014 12:31 PM, Pedro Tabacof wrote:Joe, did you check whether the two sums are the same in the end? I may be mistaken but on line 28 you loop 9999 times and on line 48 you loop for 900000 times. This would explain the time difference. Pedro. On Wed, Dec 10, 2014 at 6:20 PM, Joe Ellsworth <joexdobs@xxxxxxxxx <mailto:joexdobs@xxxxxxxxx>> wrote: Hi Stefano, I took the liberty of modifying your code to add enough work to make timing meaningful. http://pastebin.com/24tkRwGA If I am correct then what you just showed is a 107X speed improvement for the same algorithm. That is pretty impressive. Ran on my laptop: elap allocate ffi 0sec elap fill ffi array 0sec elap sum the ffi arrray 0.484sec elap fill native table 0.015sec elap sum the lua arrray 51.887sec On 12/10/2014 11:50 AM, Stefano wrote:On 10 Dec 2014 18:39, "Szabó Antal" <szabo.antal.92@xxxxxxxxx <mailto:szabo.antal.92@xxxxxxxxx>> wrote: > > 2014-12-10 19:15 GMT+01:00 Joseph Ellsworth <joexdobs@xxxxxxxxx <mailto:joexdobs@xxxxxxxxx>>: >> >> The sample / example would allocate the array, Fill it with a set of doubles read from a file, Run the sum and return both the sum and average value. > > > Here is a sample code for what I suppose you want: http://pastebin.com/cj7jShfj > > The summation loop looks like this in x64 assembly (use -jdump with luajit to get it): > > ->LOOP: > 7ffc8350ff80 addsd xmm7, [rax+rdi*8+0x8] > 7ffc8350ff86 add edi, +0x01 > 7ffc8350ff89 cmp edi, 0x270f > 7ffc8350ff8f jle 0x7ffc8350ff80 ->LOOP > > As far as I can tell, this is the shortest and fastest you can get without using vector instructions, which LuaJIT doesn't currently support. For something more end-user-friendly (for this project at least) than bare FFI the author might be interested in my the algebra module of an open source project I'm working on: http://scilua.org/sci_alg.html Stefano > > > Antal Szabó-- Pedro Tabacof
