/
Day19Compute.kt
189 lines (158 loc) · 7.41 KB
/
Day19Compute.kt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
package y2023.day19
import de.fabmax.kool.KoolApplication
import de.fabmax.kool.KoolConfigJvm
import de.fabmax.kool.modules.ksl.KslComputeShader
import de.fabmax.kool.modules.ksl.lang.*
import de.fabmax.kool.pipeline.ComputeRenderPass
import de.fabmax.kool.pipeline.GpuType
import de.fabmax.kool.pipeline.StorageBuffer2d
import de.fabmax.kool.scene.scene
import de.fabmax.kool.util.launchOnMainThread
import splitByBlankLines
import java.io.File
import kotlin.math.max
import kotlin.system.exitProcess
fun main() = KoolApplication(
KoolConfigJvm(isVsync = false)
) { ctx ->
ctx.scenes += scene {
val computeShader = KslComputeShader("Compute shader test") {
computeStage(8, 8) {
val workflowStorage = storage2d<KslInt1>("workflowStorage", 3)
val acceptCounts = storage2d<KslInt1>("acceptCounts", 4000, 4000)
val startIndex = uniformInt1("startIndex")
val acceptIndex = uniformInt1("acceptIndex")
val rejectIndex = uniformInt1("rejectIndex")
val x = uniformInt1("ux")
val fromS = uniformInt1("fromS")
val toS = uniformInt1("toS")
val isAccepted = functionBool1("isAccepted") {
val part = paramInt4()
body {
val workflowIdx = int1Var(startIndex)
`while`((workflowIdx ne acceptIndex) and (workflowIdx ne rejectIndex)) {
val nextWorkflowIdx = int1Var(storageRead(workflowStorage, int2Value(0.const, workflowIdx)))
val offsets = int1Var(storageRead(workflowStorage, int2Value(1.const, workflowIdx)))
val ruleStart = int1Var(offsets shr 16.const)
val ruleEnd = int1Var(offsets and 0xffff.const)
workflowIdx set nextWorkflowIdx
fori(ruleStart, ruleEnd) { i ->
val rule = int1Var(storageRead(workflowStorage, int2Value(2.const, i)))
val op = int1Var(rule and (1 shl 18).const)
val compI = int1Var((rule and (3 shl 16).const) shr 16.const)
val thresh = int1Var(rule and 0xffff.const)
val partVal = int1Var(part.x)
`if`(compI eq 1.const) {
partVal set part.y
}.elseIf(compI eq 2.const) {
partVal set part.z
}.elseIf(compI eq 3.const) {
partVal set part.w
}
`if`(((op eq 0.const) and (partVal lt thresh)) or
((op ne 0.const) and (partVal gt thresh))) {
workflowIdx set (rule shr 20.const)
`break`()
}
}
`if`(workflowIdx eq (-1).const) {
workflowIdx set nextWorkflowIdx
}
}
workflowIdx eq acceptIndex
}
}
main {
val m = int1Var(inGlobalInvocationId.x.toInt1() + 1.const)
val a = int1Var(inGlobalInvocationId.y.toInt1() + 1.const)
val acceptCnt = int1Var(0.const)
fori(fromS, toS) { s ->
val xmas = int4Var(KslValueInt4(x, m, a, s))
`if`(isAccepted(xmas)) {
acceptCnt += 1.const
}
}
int1Var(storageAtomicAdd(acceptCounts, inGlobalInvocationId.xy.toInt2(), acceptCnt))
}
}
}
val input = File("inputs/2023/day19.txt").readLines()
val (workflowDefs, _) = input.splitByBlankLines()
val workflowsByName = workflowDefs.map { Workflow(it) }.associateBy { it.name } + ("A" to Day19.ACCEPT) + ("R" to Day19.REJECT)
val (workflows, storage) = loadWorkflows(workflowsByName)
val acceptCounts = StorageBuffer2d(4000, 4000, GpuType.INT1)
computeShader.storage2d("workflowStorage", storage)
computeShader.storage2d("acceptCounts", acceptCounts)
computeShader.uniform1i("startIndex", workflows.startIdx)
computeShader.uniform1i("acceptIndex", workflows.acceptIdx)
computeShader.uniform1i("rejectIndex", workflows.rejectIdx)
var x by computeShader.uniform1i("ux", 1)
var fromS by computeShader.uniform1i("fromS", 1)
var toS by computeShader.uniform1i("toS", 41)
val computePass = ComputeRenderPass(computeShader, 4000, 4000)
val computeTask = computePass.tasks[0]
val startT = System.nanoTime()
val xLimit = 10
var subStep = 0
// xLimit 400:
// cpu: 12916024642920
// gpu: 12916024642920
// Stopping after 528.202 s seconds
// 48.466 Gops, estimated total time: 1h:28m
computeTask.onBeforeDispatch {
fromS = subStep * 80 + 1
toS = (subStep + 1) * 80 + 1
}
computeTask.onAfterDispatch {
if (++subStep == 50) {
println(" progress: %.1f %% (%.3f %% total) ...".format(100.0 * x / xLimit, 100.0 * x / 4000))
if (x >= xLimit) {
val time = (System.nanoTime() - startT) / 1e9
val totalTime = time * (4000.0 / xLimit)
val totalH = (totalTime / 3600).toInt()
val totalM = ((totalTime % 3600) / 60).toInt()
val totalOps = xLimit * 4000L * 4000L * 4000L
println("Stopping after %.3f s seconds\n%.3f Gops, estimated total time: %dh:%02dm"
.format(time, totalOps / 1e9 / time, totalH, totalM)
)
removeOffscreenPass(computePass)
val expectedCount = Day19.part2(workflowsByName, 1..xLimit)
readAcceptCounts(acceptCounts, expectedCount)
}
subStep = 0
x++
}
}
addOffscreenPass(computePass)
}
}
fun readAcceptCounts(acceptStorage: StorageBuffer2d, expectedCount: Long) {
launchOnMainThread {
acceptStorage.readbackBuffer()
var sum = 0L
for (y in 0 ..< 4000) {
for (x in 0 ..< 4000) {
sum += acceptStorage.getI1(y * acceptStorage.sizeX + x)
}
}
println("Accept count: $sum")
println("Expected count: $expectedCount")
exitProcess(0)
}
}
fun loadWorkflows(workflowsByName: Map<String, Workflow>): Pair<Workflows, StorageBuffer2d> {
val workflows = Workflows(workflowsByName)
val numWorkflows = workflows.workflows.size
val numRules = workflows.rules.size
val storage = StorageBuffer2d(3, max(numRules, numWorkflows), GpuType.INT1)
for (i in 0 until numWorkflows) {
storage[0, i] = workflows.nexts[i]
}
for (i in 0 until numWorkflows) {
storage[1, i] = workflows.ruleOffsets[i]
}
for (i in 0 until numRules) {
storage[2, i] = workflows.rules[i]
}
return workflows to storage
}