// iterator over this cpu subset using lpt whole cell algorithm
// assuming a specified complexity for mitral and granule
objref lptiter_gidvec, pc
{load_file("loadbal.hoc")}
{load_file("mitral.hoc")}
{load_file("granule.hoc")}
{load_file("split.hoc")}
proc cxhelp() {localobj cell, lb, pc
lb = new LoadBalance()
cell = new Granule()
cell.soma cxgranule = lb.cell_complexity()
cell = new GranuleSpine()
cell.neck cxspine = lb.cell_complexity()
cell = new Mitral()
cell.soma cxmitral = lb.cell_complexity()
cell.secden[0] disconnect()
cell.secden[1] disconnect()
cell.secden[0] cxsecden = lb.cell_complexity()
cell.soma cxmainmitral = lb.cell_complexity()
lb.mt[1].select("FastInhib")
cxfi = lb.m_complex_[1].x(lb.mt[1].selected())
lb.mt[1].select("AmpaNmda")
cxampa = lb.m_complex_[1].x(lb.mt[1].selected())
lb.mt[1].select("ThreshDetect")
cxtd = lb.m_complex_[1].x(lb.mt[1].selected())
pc = new ParallelContext()
if (1 && pc.id == 0) {
printf("cxgranule=%g\n", cxgranule)
printf("cxspine=%g\n", cxspine)
printf("cxmitral=%g\n", cxmitral)
printf("cxsecden=%g\n", cxsecden)
printf("cxmainmitral=%g\n", cxmainmitral)
printf("cxfi=%g\n", cxfi)
printf("cxampa=%g\n", cxampa)
printf("cxtd=%g\n", cxtd)
}
pc.gid_clear()
}
if (1) {
cxhelp()
}else{
cxgranule=216
cxspine = 23
cxmitral=1475
cxsecden=602
cxmainmitral=273
cxfi=3
cxampa=4
cxtd=1
}
cxcpu = 0 // to be computed by lptiter_set
iterator cell_gids() { local i
if (object_id(lptiter_gidvec) == 0) { lptiter_set() }
for i=0, lptiter_gidvec.size-1 {
$&1 = lptiter_gidvec.x[i]
$&2 = i
iterator_statement
}
}
proc lptiter_set() {local i localobj ldbal, cx, p, gid
// gid and cx are parallel
if (is_split) {
// mitrals are split into three pieces
// the main piece is given the standard whole
// cell gid and consists of the soma, axon, primary
// and tuft. The other two pieces are the left
// and right secondary dendrite and have a
// gid = mgid + splitbit*(secondary_index + 1)
gid = new Vector(nmitral*3 + ngranule)
cx = gid.c
for i=0, nmitral-1 {
gid.x[i] = i
gid.x[nmitral + i] = i + splitbit
gid.x[2*nmitral + i] = i + 2*splitbit
}
for i=0, ngranule-1 {
gid.x[3*nmitral + i] = nmitral + i
}
for i=0, gid.size-1 {
cx.x[i] = fcx(gid.x[i])
}
}else{
// for whole cells
gid = new Vector(ncell)
cx = new Vector(ncell)
// for whole cells
gid.indgen().add(nmitral_begin)
cx.fill(cxmitral, 0, nmitral-1)
if (ngranule > 0) {
cx.fill(cxgranule, nmitral, ncell - 1)
}
for i=0, nmitral-1 {
cx.x[i] += (cxfi + cxtd)*(how_many_syn_on_secden(i, 0) + how_many_syn_on_secden(i,1))
}
for i=nmitral, ncell-1 {
cx.x[i] += (cxtd+cxampa)*how_many_syn_on_granule(i-nmitral)
}
}
p = lptiter_lpt(cx, pnm.nhost, 0)
lptiter_gidvec = p.c.indvwhere("==", pnm.myid)
cx.index(cx, lptiter_gidvec)
cxcpu = cx.sum
lptiter_gidvec.index(gid, lptiter_gidvec)
// printf("cxcpu=%g\n", cxcpu)
// for i=0, lptiter_gidvec.size-1 { printf("%d %d\n", pnm.myid, lptiter_gidvec.x[i])}
}
// complexity of piece given the piece gid
func fcx() {
if ($1 >= 2*splitbit) { //left mitral secden
return cxsecden + (cxtd+cxfi)*how_many_syn_on_secden(basegid($1), 1)
}else if ($1 >= splitbit) { // right mitral secden
return cxsecden + (cxtd+cxfi)*how_many_syn_on_secden(basegid($1), 0)
}else if ($1 >= nmitral ) { // granule
$1 -= nmitral
return cxgranule + (cxspine+cxtd+cxampa)*how_many_syn_on_granule($1)
}else{ // main mitral
return cxmainmitral
}
}
// from loadbal.hoc
// least processing time algorithm
// $o1 is vector of weights $2 is number of partitions
// return is vector of partition indices parallel to weights
obfunc lptiter_lpt() {local i, j localobj wx, ix, pw
if ($3) {
print $o1.size, " piece weights"
$o1.printf
}
wx = $o1.sortindex.reverse
ix = new Vector($o1.size)
pw = new Vector($2)
for i=0, $o1.size-1 {
j = wx.x[i]
w = $o1.x[j]
ip = pw.min_ind
pw.x[ip] += w
ix.x[j] = ip
}
if ($3) {
print $2, " partition complexities"
pw.printf
}
if (pw.mean) {
thread_cxbal_ = pw.max/(pw.mean)
}else{
thread_cxbal_ = 1
}
return ix
}