func main() {
nimble.Init()
defer nimble.Cleanup()
nimble.SetOD("gpueuler.out")
N0, N1, N2 := 1, 32, 128
cx, cy, cz := 3e-9, 3.125e-9, 3.125e-9
mesh := nimble.NewMesh(N0, N1, N2, cx, cy, cz)
fmt.Println("mesh:", mesh)
m := nimble.MakeChanN(3, "m", "", mesh, nimble.UnifiedMemory, 0)
fmt.Println("m:", m)
acc := 8
kernel := mag.BruteKernel(mesh, acc)
B := conv.NewSymm2D("B", "T", mesh, nimble.UnifiedMemory, kernel, m).Output()
const (
Bsat = 1.0053
aex = mag.Mu0 * 13e-12 / Bsat
α = 1
)
//exch := cpu.NewExchange6("Bex", "T", nimble.UnifiedMemory, m.NewReader(), aex)
exch := gpu.NewExchange6("Bex", m, aex)
nimble.Stack(exch)
Bex := exch.Output()
// heff := MakeChan3("Heff", "", mesh)
Beff := gpu.NewSum("Beff", B, Bex, Bsat, 1, nimble.UnifiedMemory).Output()
tBox := gpu.NewLLGTorque("torque", m, Beff, α)
nimble.Stack(tBox)
torque := tBox.Output()
const dt = 100e-15
solver := gpu.NewEuler(m, torque, mag.Gamma0, dt)
M := cpu.Host(m.ChanN().UnsafeData())
for i := range M[2] {
M[2][i] = 1
M[1][i] = 0.1
}
every := 100
nimble.Autosave(B, every)
nimble.Autosave(m, every)
nimble.Autosave(Bex, every)
nimble.Autosave(Beff, every)
nimble.Autosave(torque, every)
nimble.Autotable(m, every)
nimble.RunStack()
solver.Steps(100)
res := cpu.Host(m.ChanN().UnsafeData())
got := [3]float32{res[0][0], res[1][0], res[2][0]}
expect := [3]float32{-0.033120323, 0.20761484, 0.9776498}
solver.Steps(10000)
fmt.Println("result:", got)
if got != expect {
fmt.Println("expected:", expect)
os.Exit(2)
} else {
fmt.Println("OK")
}
}
func main() {
nimble.Init()
defer nimble.Cleanup()
nimble.SetOD("test4.out")
N0, N1, N2 := 1, 32, 128
cx, cy, cz := 3e-9, 3.125e-9, 3.125e-9
mesh := nimble.NewMesh(N0, N1, N2, cx, cy, cz)
fmt.Println("mesh:", mesh)
m := nimble.MakeChanN(3, "m", "", mesh, nimble.UnifiedMemory, 0)
fmt.Println("m:", m)
acc := 8
kernel := mag.BruteKernel(mesh, acc)
B := gpu.NewConvolution("B", "T", mesh, nimble.UnifiedMemory, kernel, m).Output()
const Bsat = 1.0053
const aex = mag.Mu0 * 13e-12 / Bsat
exch := cpu.NewExchange6("Bex", "T", nimble.UnifiedMemory, m.NewReader(), aex)
Bex := exch.Output()
Beff := cpu.NewSum("Beff", B, Bex, Bsat, 1, nimble.UnifiedMemory).Output()
const alpha = 1
tbox := cpu.NewLLGTorque("torque", m, Beff, alpha)
nimble.Stack(tbox)
torque := tbox.Output()
const dt = 100e-15
solver := cpu.NewEuler(m, torque.NewReader(), mag.Gamma0, dt)
M := cpu.Host(m.ChanN().UnsafeData())
for i := range M[2] {
M[2][i] = 1
M[1][i] = 0.1
}
every := 100
uni.Autosave(B, every, cpu.CPUDevice)
uni.Autosave(m, every, cpu.CPUDevice)
uni.Autosave(Bex, every, cpu.CPUDevice)
uni.Autosave(Beff, every, cpu.CPUDevice)
uni.Autosave(torque, every, cpu.CPUDevice)
uni.Autotable(m, every, cpu.CPUDevice)
nimble.RunStack()
solver.Steps(100)
res := cpu.Host(m.ChanN().UnsafeData())
got := [3]float32{res[0][0], res[1][0], res[2][0]}
expect := [3]float32{-0.03450077, 0.21015842, 0.9770585}
fmt.Println("result:", got)
if got != expect {
fmt.Println("expected:", expect)
os.Exit(2)
} else {
fmt.Println("OK")
}
}