What have you tried so far? See http://docs.julialang.org/en/latest/manual/ performance-tips/#tools, esp. @code_warntype.
--Tim On Wednesday, August 24, 2016 1:55:23 PM CDT Venil Noronha wrote: > The following code seems to consume a lot of memory. Could anyone spot what > I'm doing wrong here? I'm also using the JuMP library. > > function initUtilityConstraint() > c = categories[1] > me = attack_methods[1] > t = teams[1] > tuple = Simulate.cmt(c, me, t) > w = windows[1] > r = resources[1] > wrtuple = Simulate.wr(w, r) > for ni in 1:size(list,1), c in categories,* f in flights* > performloop(ni, c, f, tuple, wrtuple) > end > end > > function performloop(ni, c, f, tuple, wrtuple) > fi = findfirst(flights, f) > for w in windows, me in attack_methods > tuple.c = c > tuple.m = me > total = 0.0 > for t in teams > tuple.t = t > strat = linearizeStrategyS(f, c, t, w, ni) > total = total + effectiveness[tuple]*strat > end > > total = ( total*(flight_vals[fi]*(-1)) + flight_vals[fi] ) > > for w2 in owindows, r2 in resources > wrtuple.w = w2 > wrtuple.r = r2 > over = linearizeOverflow(w2, r2, ni) > total = total - resource_fines[wrtuple]*over > end > # println(string( sc[c], "<=", ( total*(flight_vals[fi]*(-1)) + > flight_vals[fi] ))) > @addConstraint(m, sc[c] <= total) > end > end > > Following are the stats for piece this code. Stats were recorded using > @time. > > For 1 item in the flights array, it takes about 620KB to execute the > performloop method - peak memory consumption by the program is 8.84GBs. > 2 flights - 1.02MB per iteration of performloop - peak 8.88GBs. > 3 flights - 3.45MB - 9.60GBs > 4 flights - 4.35MB - 10.24GBs > 5 flights - 10.8MB - 15.63GBs > > It'd be great if someone could help me with this asap! > > Thanks.
