[julia-users] High memory consumption with loops

[Venil Noronha]

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.