trying to do rice partitioning on gpu

This commit is contained in:
chudov
2009-10-02 06:21:42 +00:00
parent e4172ef27d
commit 007648cc9e
3 changed files with 379 additions and 400 deletions

View File

@@ -1065,7 +1065,7 @@ namespace CUETools.Codecs.FlaCuda
frame.subframes[ch].best.size = (uint)frame.subframes[ch].best.order * frame.subframes[ch].obits + 6;
if (frame.subframes[ch].best.type == SubframeType.LPC)
frame.subframes[ch].best.size += 4 + 5 + (uint)frame.subframes[ch].best.order * (uint)frame.subframes[ch].best.cbits;
AudioSamples.MemCpy(frame.subframes[ch].best.residual + frame.subframes[ch].best.order, (int*)task.residualBufferPtr + task.BestResidualTasks[index].residualOffs, frame.blocksize - frame.subframes[ch].best.order);
AudioSamples.MemCpy(frame.subframes[ch].best.residual, (int*)task.residualBufferPtr + task.BestResidualTasks[index].residualOffs, frame.blocksize);
int* riceParams = ((int*)task.riceParamsPtr) + (4 << task.max_porder) * index;
int* partLengths = ((int*)task.riceParamsPtr) + (4 << task.max_porder) * index + (2 << task.max_porder);
int opt_porder = task.max_porder;
@@ -1191,7 +1191,7 @@ namespace CUETools.Codecs.FlaCuda
cuda.SetParameter(task.cudaChooseBestMethod, 2 * sizeof(uint), (uint)residualPartCount);
cuda.SetParameter(task.cudaChooseBestMethod, 3 * sizeof(uint), (uint)task.nResidualTasksPerChannel);
cuda.SetParameterSize(task.cudaChooseBestMethod, sizeof(uint) * 4U);
cuda.SetFunctionBlockShape(task.cudaChooseBestMethod, 32, 16, 1);
cuda.SetFunctionBlockShape(task.cudaChooseBestMethod, 32, 8, 1);
cuda.SetParameter(task.cudaCopyBestMethod, 0, (uint)task.cudaBestResidualTasks.Pointer);
cuda.SetParameter(task.cudaCopyBestMethod, 1 * sizeof(uint), (uint)task.cudaResidualTasks.Pointer);
@@ -1223,7 +1223,7 @@ namespace CUETools.Codecs.FlaCuda
cuda.SetParameter(task.cudaSumPartition, 0, (uint)task.cudaPartitions.Pointer);
cuda.SetParameter(task.cudaSumPartition, 1 * sizeof(uint), (uint)max_porder);
cuda.SetParameterSize(task.cudaSumPartition, 2U * sizeof(uint));
cuda.SetFunctionBlockShape(task.cudaSumPartition, 256, 1, 1);
cuda.SetFunctionBlockShape(task.cudaSumPartition, Math.Max(64, 1 << max_porder), 1, 1);
cuda.SetParameter(task.cudaFindRiceParameter, 0, (uint)task.cudaRiceParams.Pointer);
cuda.SetParameter(task.cudaFindRiceParameter, 1 * sizeof(uint), (uint)task.cudaPartitions.Pointer);

View File

@@ -629,8 +629,6 @@ extern "C" __global__ void cudaEstimateResidual(
output[(blockIdx.y * blockDim.y + threadIdx.y) * 64 + blockIdx.x] = shared.residual[tid];
}
#define BEST_INDEX(a,b) ((a) + ((b) - (a)) * (shared.length[b] < shared.length[a]))
extern "C" __global__ void cudaChooseBestMethod(
encodeResidualTaskStruct *tasks,
int *residual,
@@ -640,13 +638,13 @@ extern "C" __global__ void cudaChooseBestMethod(
{
__shared__ struct {
volatile int index[128];
volatile int partLen[512];
int length[256];
volatile encodeResidualTaskStruct task[16];
volatile int length[256];
volatile int partLen[256];
volatile encodeResidualTaskStruct task[8];
} shared;
const int tid = threadIdx.x + threadIdx.y * 32;
if (tid < 256) shared.length[tid] = 0x7fffffff;
shared.length[tid] = 0x7fffffff;
for (int task = 0; task < taskCount; task += blockDim.y)
if (task + threadIdx.y < taskCount)
{
@@ -681,25 +679,37 @@ extern "C" __global__ void cudaChooseBestMethod(
__syncthreads();
//if (tid < 128) shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 128]); __syncthreads();
if (tid < 128) shared.index[tid] = BEST_INDEX(tid, tid + 128); __syncthreads();
if (tid < 64) shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 64]); __syncthreads();
if (tid < 32)
{
shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 32]);
shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 16]);
shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 8]);
shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 4]);
shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 2]);
shared.index[tid] = BEST_INDEX(shared.index[tid], shared.index[tid + 1]);
}
__syncthreads();
// if (threadIdx.x < sizeof(encodeResidualTaskStruct)/sizeof(int))
//((int*)(tasks_out + blockIdx.y))[threadIdx.x] = ((int*)(tasks + taskCount * blockIdx.y + shared.index[0]))[threadIdx.x];
if (tid == 0)
tasks[taskCount * blockIdx.y].best_index = taskCount * blockIdx.y + shared.index[0];
if (tid < taskCount)
tasks[tid + taskCount * blockIdx.y].size = shared.length[tid];
__syncthreads();
int l1 = shared.length[tid];
if (tid < 128)
{
int l2 = shared.length[tid + 128];
shared.index[tid] = tid + ((l2 < l1) << 7);
shared.length[tid] = l1 = min(l1, l2);
}
__syncthreads();
if (tid < 64)
{
int l2 = shared.length[tid + 64];
shared.index[tid] = shared.index[tid + ((l2 < l1) << 6)];
shared.length[tid] = l1 = min(l1, l2);
}
__syncthreads();
if (tid < 32)
{
#pragma unroll 5
for (int sh = 5; sh > 0; sh --)
{
int l2 = shared.length[tid + (1 << sh)];
shared.index[tid] = shared.index[tid + ((l2 < l1) << sh)];
shared.length[tid] = l1 = min(l1, l2);
}
if (tid == 0)
tasks[taskCount * blockIdx.y].best_index = taskCount * blockIdx.y + shared.index[shared.length[1] < shared.length[0]];
}
}
extern "C" __global__ void cudaCopyBestMethod(
@@ -796,14 +806,18 @@ extern "C" __global__ void cudaEncodeResidual(
if (tid < 32) shared.data[tid + partSize] = tid + partSize < dataLen ? samples[shared.task.samplesOffs + pos + tid + partSize] >> shared.task.wbits : 0;
const int residualLen = max(0,min(shared.task.blocksize - pos - shared.task.residualOrder, partSize));
__syncthreads();
__syncthreads();
// compute residual
int sum = 0;
for (int c = 0; c < shared.task.residualOrder; c++)
sum += __mul24(shared.data[tid + c], shared.task.coefs[c]);
if (tid < residualLen)
output[shared.task.residualOffs + pos + tid] = shared.data[tid + shared.task.residualOrder] - (sum >> shared.task.shift);
__syncthreads();
shared.data[tid + shared.task.residualOrder] -= (sum >> shared.task.shift);
__syncthreads();
if (tid >= shared.task.residualOrder && tid < residualLen + shared.task.residualOrder)
output[shared.task.residualOffs + pos + tid] = shared.data[tid];
if (tid + 256 < residualLen + shared.task.residualOrder)
output[shared.task.residualOffs + pos + tid + 256] = shared.data[tid + 256];
}
extern "C" __global__ void cudaCalcPartition(
@@ -828,18 +842,14 @@ extern "C" __global__ void cudaCalcPartition(
const int parts = min(parts_per_block, (1 << max_porder) - blockIdx.x * parts_per_block);
// fetch residual
shared.length[tid] = (tid < parts * psize - shared.task.residualOrder) ?
residual[shared.task.residualOffs + blockIdx.x * psize * parts_per_block + tid] : 0;
__syncthreads();
shared.data[tid] = (tid >= shared.task.residualOrder) ?
shared.length[tid - shared.task.residualOrder] : blockIdx.x != 0 ?
residual[shared.task.residualOffs + blockIdx.x * psize * parts_per_block + tid - shared.task.residualOrder] : 0;
int offs = blockIdx.x * psize * parts_per_block + tid;
int s = (offs >= shared.task.residualOrder && tid < parts * psize) ? residual[shared.task.residualOffs + offs] : 0;
// convert to unsigned
shared.data[tid] = min(0xfffff, (shared.data[tid] << 1) ^ (shared.data[tid] >> 31));
shared.data[tid] = min(0xfffff, (s << 1) ^ (s >> 31));
shared.length[tid] = (psize - shared.task.residualOrder * (threadIdx.y + blockIdx.x == 0)) * (threadIdx.x + 1);
__syncthreads();
// calc number of unary bits for each residual part with each rice paramater
shared.length[tid] = (psize - shared.task.residualOrder * (threadIdx.y + blockIdx.x == 0)) * (threadIdx.x + 1);
for (int i = 0; i < psize; i++)
// for part (threadIdx.y) with this rice paramater (threadIdx.x)
shared.length[tid] += shared.data[threadIdx.y * psize + i] >> threadIdx.x;
@@ -861,7 +871,6 @@ extern "C" __global__ void cudaCalcLargePartition(
)
{
__shared__ struct {
int data1[256];
int data[256];
volatile int length[256];
encodeResidualTaskStruct task;
@@ -875,19 +884,14 @@ extern "C" __global__ void cudaCalcLargePartition(
for (int pos = 0; pos < psize; pos += 256)
{
// fetch residual
//shared.data[tid] = ((blockIdx.x != 0 || pos + tid >= shared.task.residualOrder) && pos + tid < psize) ? residual[shared.task.residualOffs + blockIdx.x * psize + pos + tid - shared.task.residualOrder] : 0;
shared.data1[tid] = (pos + tid < psize - shared.task.residualOrder) ?
residual[shared.task.residualOffs + blockIdx.x * psize + pos + tid] : 0;
__syncthreads();
shared.data[tid] = (tid >= shared.task.residualOrder) ?
shared.data1[tid - shared.task.residualOrder] : ((pos != 0) || blockIdx.x != 0) && (pos + tid < psize) ?
residual[shared.task.residualOffs + blockIdx.x * psize + pos + tid - shared.task.residualOrder] : 0;
int offs = blockIdx.x * psize + pos + tid;
int s = (offs >= shared.task.residualOrder && pos + tid < psize) ? residual[shared.task.residualOffs + offs] : 0;
// convert to unsigned
shared.data[tid] = min(0xfffff, (shared.data[tid] << 1) ^ (shared.data[tid] >> 31));
shared.data[tid] = min(0xfffff, (s << 1) ^ (s >> 31));
__syncthreads();
// calc number of unary bits for each residual sample with each rice paramater
#pragma unroll 1
#pragma unroll 0
for (int i = 0; i < min(psize,256); i += 16)
// for sample (i + threadIdx.x) with this rice paramater (threadIdx.y)
shared.length[tid] += shared.data[i + threadIdx.x] >> threadIdx.y;
@@ -910,7 +914,7 @@ extern "C" __global__ void cudaSumPartition(
)
{
__shared__ struct {
int data[512];
int data[512]; // max_porder <= 8, data length <= 1 << 9.
} shared;
const int pos = (15 << (max_porder + 1)) * blockIdx.y + (blockIdx.x << (max_porder + 1));
@@ -946,28 +950,32 @@ extern "C" __global__ void cudaFindRiceParameter(
const int pos = (15 << (max_porder + 1)) * blockIdx.y + (threadIdx.y << (max_porder + 1));
// read length for 16 partitions
shared.index[tid] = (threadIdx.y <= 14 && threadIdx.x < parts) ? partition_lengths[pos + blockIdx.x * 16 + threadIdx.x] : 0xffffff;
shared.length[tid] = (threadIdx.y <= 14 && threadIdx.x < parts) ? partition_lengths[pos + blockIdx.x * 16 + threadIdx.x] : 0xffffff;
__syncthreads();
// transpose
shared.length[tid] = shared.index[threadIdx.y + (threadIdx.x << 4)];
//shared.length[tid] = shared.index[threadIdx.y + (threadIdx.x << 4)];
int l1 = shared.length[threadIdx.y + (threadIdx.x << 4)];
__syncthreads();
shared.length[tid] = l1;
__syncthreads();
// find best rice parameter
int cmp = 8 * (shared.length[tid + 8] < shared.length[tid]);
shared.index[tid] = threadIdx.x + cmp;
shared.length[tid] = shared.length[tid + cmp];
cmp = 4 * (shared.length[tid + 4] < shared.length[tid]);
shared.index[tid] = shared.index[tid + cmp];
shared.length[tid] = shared.length[tid + cmp];
cmp = 2 * (shared.length[tid + 2] < shared.length[tid]);
shared.index[tid] = shared.index[tid + cmp];
shared.length[tid] = shared.length[tid + cmp];
cmp = (shared.length[tid + 1] < shared.length[tid]);
int l2 = shared.length[tid + 8];
shared.index[tid] = threadIdx.x + ((l2 < l1) << 3);
shared.length[tid] = l1 = min(l1, l2);
#pragma unroll 2
for (int sh = 2; sh > 0; sh --)
{
l2 = shared.length[tid + (1 << sh)];
shared.index[tid] = shared.index[tid + ((l2 < l1) << sh)];
shared.length[tid] = l1 = min(l1, l2);
}
l2 = shared.length[tid + 1];
// output rice parameter
if (threadIdx.x == 0 && threadIdx.y < parts)
output[(blockIdx.y << (max_porder + 2)) + blockIdx.x * parts + threadIdx.y] = shared.index[tid + cmp];
output[(blockIdx.y << (max_porder + 2)) + blockIdx.x * parts + threadIdx.y] = shared.index[tid + (l2 < l1)];
// output length
if (threadIdx.x == 0 && threadIdx.y < parts)
output[(blockIdx.y << (max_porder + 2)) + (1 << (max_porder + 1)) + blockIdx.x * parts + threadIdx.y] = shared.length[tid + cmp];
output[(blockIdx.y << (max_porder + 2)) + (1 << (max_porder + 1)) + blockIdx.x * parts + threadIdx.y] = min(l1, l2);
}
#endif

View File

@@ -562,158 +562,155 @@ code {
code {
name = cudaChooseBestMethod
lmem = 0
smem = 6688
smem = 4128
reg = 13
bar = 1
const {
segname = const
segnum = 1
offset = 0
bytes = 36
bytes = 28
mem {
0x000003ff 0x000000ff 0x00000008 0x00000020
0x00000001 0x0000007f 0x0000003f 0x0000001f
0x7fffffff
0x000003ff 0x00000008 0x00000020 0x00000001
0x0000007f 0x0000003f 0x0000001f
}
}
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0x2400d001 0x04200780 0x04001001 0xe4200780
0xf0000001 0xe0000002 0x861ffe03 0x00000000
0x308709fd 0x6c4107c8 0xa00f3003 0x00000000
0x100f3003 0x00000280 0x00020805 0xc0000780
0xd4014009 0x20000780 0x0802c00d 0xc0200780
0x0402d011 0xc0200780 0xdc14400d 0x20000780
0x1400d001 0x0423c780 0xd0144011 0x20000784
0x1d00e004 0x2940e000 0x3001c005 0x6c20c784
0xd0010001 0x04020780 0x2400d001 0x04200780
0x04001001 0xe4200780 0x0402f00d 0xc0200780
0x0402d009 0xc0200780 0xdc14400d 0x20000780
0x1400d001 0x0423c780 0xd8144009 0x20000780
0x1c00c005 0x0423c780 0x2440f001 0x04200780
0x3801c005 0x6c20c780 0xd0010001 0x04020780
0x2400d001 0x04200780 0x04001001 0xe4200780
0x0402e00d 0xc0200780 0x0402d009 0xc0200780
0xdc14400d 0x20000780 0x1400d001 0x0423c780
0xd8144009 0x20000780 0x1c00c005 0x0423c780
0x2440e001 0x04200780 0x3801c005 0x6c20c780
0xd0010001 0x04020780 0x2400d001 0x04200780
0x04001001 0xe4200780 0x0402d80d 0xc0200780
0x0402d009 0xc0200780 0xdc14400d 0x20000780
0x1400d001 0x0423c780 0xd8144009 0x20000780
0x1d00e004 0x2540f800 0x3801c005 0x6c20c780
0xd0010001 0x04020780 0x2400d001 0x04200780
0x04001001 0xe4200780 0x0402d40d 0xc0200780
0x0402d009 0xc0200780 0xdc14400d 0x20000780
0x1400d001 0x0423c780 0xd8144009 0x20000780
0x1d00e004 0x2540f400 0x3801c005 0x6c20c780
0xd0010001 0x04020780 0x2400d001 0x04200780
0x04001001 0xe4200780 0x0402d20d 0xc0200780
0x0402d009 0xc0200780 0xdc14400d 0x20000780
0x1400d001 0x0423c780 0xd8144009 0x20000780
0x1d00e004 0x2540f200 0x3801c005 0x6c20c780
0xd0010001 0x04020780 0x2400d001 0x04200780
0x04001001 0xe4200780 0xf0000001 0xe0000002
0x861ffe03 0x00000000 0x307c09fd 0x6c0147c8
0xa0102003 0x00000000 0x10102003 0x00000280
0x1000ce01 0x0423c780 0x40014e05 0x00200780
0x30100205 0xc4100780 0x60004e01 0x00204780
0x30070005 0xc4100780 0x30060009 0xc4100780
0x20028204 0x2101e804 0x2000d009 0x04200780
0x20208201 0x00000003 0xd00e0009 0xa0c00780
0x3004cffd 0x6c20c7ca 0x30000003 0x00000280
0x60040001 0x00024780 0x10088003 0x00000780
0xd4147805 0x20000780 0x1400c001 0x0423c780
0x40050025 0x00000780 0x60040225 0x00024780
0x30101225 0xc4100780 0x60040001 0x00024780
0xf0000001 0xe0000002 0xf0000001 0xe0000002
0x30080001 0xac000782 0x00020e05 0xc0000780
0x04011001 0xe4200780 0x20000c19 0x04014782
0x3006cffd 0x6c2107c8 0x1000d003 0x00000280
0x861ffe03 0x00000000 0x3004cffd 0x6c20c7c8
0xa00a1003 0x00000000 0x100a1003 0x00000280
0x1000ce01 0x0423c780 0x40014e05 0x00200780
0x30100205 0xc4100780 0x60004e01 0x00204780
0x20000001 0x04010780 0x30070005 0xc4100780
0x30060001 0xc4100780 0x00020805 0xc0000780
0x20000201 0x04000780 0xd4144005 0x20000780
0x20000201 0x04000780 0xd4044005 0x20000780
0x2100e804 0x1500e000 0x20108205 0x00000003
0xd00e0201 0xa0c00781
0xd00e0201 0xa0c00780 0xf0000001 0xe0000002
0x861ffe03 0x00000000 0x00020805 0xc0000780
0xd4044005 0x20000780 0x308409fd 0x6c4107c8
0xa00b4003 0x00000000 0x1400c001 0x0423c780
0x100b4003 0x00000280 0x00020805 0xc0000780
0xd408400d 0x20000780 0xd4044009 0x20000780
0x1c00c001 0x0423c780 0x3800c1fd 0x6c2107c8
0x1c00c001 0x0423c780 0x20008805 0x0000000b
0x3800c001 0xac200780 0x10000805 0x0403c500
0x04001001 0xe4204780 0x04011001 0xe4200780
0xf0000001 0xe0000002 0x861ffe03 0x00000000
0x308509fd 0x6c4107c8 0xa00c3003 0x00000000
0x100c3003 0x00000280 0x00020805 0xc0000780
0xd4064009 0x20000780 0x20008805 0x00000007
0x3800c1fd 0x6c2047c8 0x10000805 0x0403c500
0x0002020d 0xc0000780 0x3800c001 0xac200780
0x1c00d005 0x0423c780 0x04001001 0xe4204780
0x04011001 0xe4200780 0xf0000001 0xe0000002
0x861ffe03 0x00000000 0x308609fd 0x6c4107c8
0x30000003 0x00000280 0x20288805 0x0000000b
0x00020209 0xc0000780 0x20208805 0x00000003
0x3800c1fd 0x6c2047c8 0x10000805 0x0403c500
0x0002020d 0xc0000780 0x00020805 0xc0000780
0x3800c005 0xac200780 0x1c00d001 0x0423c780
0x20188809 0x0000000b 0x04001001 0xe4200780
0x00020409 0xc0000780 0x04011001 0xe4204780
0x20108801 0x00000003 0x3801c1fd 0x6c2047c8
0x10000801 0x0403c500 0x0002000d 0xc0000780
0x3801c005 0xac200780 0x1c00d001 0x0423c780
0x20108809 0x0000000b 0x04001001 0xe4200780
0x00020409 0xc0000780 0x04011001 0xe4204780
0x20088801 0x00000003 0x3801c1fd 0x6c2047c8
0x10000801 0x0403c500 0x0002000d 0xc0000780
0x3801c005 0xac200780 0x1c00d001 0x0423c780
0x200c8809 0x0000000b 0x04001001 0xe4200780
0x00020409 0xc0000780 0x04011001 0xe4204780
0x20048801 0x00000003 0x3801c1fd 0x6c2047c8
0x10000801 0x0403c500 0x0002000d 0xc0000780
0x3801c005 0xac200780 0x1c00d001 0x0423c780
0x200a8809 0x0000000b 0x04001001 0xe4200780
0x00020409 0xc0000780 0x04011001 0xe4204780
0x20028801 0x00000003 0x3801c1fd 0x6c2047c8
0x10000801 0x0403c500 0x0002000d 0xc0000780
0x3801c005 0xac200780 0x1c00d001 0x0423c780
0x04001001 0xe4200780 0x307c09fd 0x6c0147c8
0x04011001 0xe4204780 0x30000003 0x00000280
0x1000ce01 0x0423c780 0x40014e05 0x00200780
0xd0044005 0x20000780 0x30100209 0xc4100780
0x1400c205 0x0423c780 0x60004e09 0x00208780
0x3401c1fd 0x6c2107c8 0x10048011 0x00000003
0x10208001 0x00000003 0x30070405 0xc4100780
0x3006040d 0xc4100780 0x21000801 0x04408280
0x20000205 0x0400c780 0x00000005 0xc0000780
0x2101e800 0x2502e004 0x20208001 0x00000003
0xd00e0005 0xa0c00781
}
}
code {
@@ -737,45 +734,55 @@ code {
0xa0004e01 0x04200780 0x30070005 0xc4100780
0x30060001 0xc4100780 0x20000201 0x04000780
0x30020405 0xc4100780 0x2100ec00 0x20008200
0x00020405 0xc0000780 0xd00e0001 0x80c00780
0xd00e0001 0x80c00780 0x00020405 0xc0000780
0x04024e01 0xe4200780 0xf0000001 0xe0000002
0x861ffe03 0x00000000 0xa0004205 0x04200780
0x40034c01 0x00200780 0x30100001 0xc4100780
0xd0093805 0x20000780 0x60024c0d 0x00200780
0x2501e000 0x2543ee10 0x30040011 0xac000780
0x300209fd 0x6c00c7c8 0xa0021003 0x00000000
0x10020003 0x00000280 0xd0094005 0x20000780
0x300209fd 0x6c00c7c8 0xa0022003 0x00000000
0x10021003 0x00000280 0xd0094005 0x20000780
0x2503e000 0x20008400 0x30020001 0xc4100780
0x2100ea14 0x1500f400 0xd00e0a15 0x80c00780
0x30000a01 0xec000780 0x10021003 0x00000780
0x1000f801 0x0403c780 0x00020405 0xc0000782
0x308105fd 0x6c4107c8 0x04000e01 0xe4200780
0xa0035003 0x00000000 0x10035003 0x00000280
0x20000201 0x04008780 0x300401fd 0x6c0187c8
0x00020005 0xc0000780 0xa0034003 0x00000000
0x10033003 0x00000280 0xd0094009 0x20000780
0x20028200 0x2903e010 0x20000001 0x04010780
0x30020001 0xc4100780 0x2100ea10 0x1900f400
0xd00e0811 0x80c00780 0x30000801 0xec000780
0x10034003 0x00000780 0x1000f801 0x0403c780
0x04000e01 0xe4200782 0xd0093805 0x20000782
0x2543ee00 0x3500e000 0x30000201 0xac000780
0x307c0011 0x8c000780 0x861ffe03 0x00000000
0xd0093805 0x20000780 0x347cc1fd 0x6c20c7c8
0x1000f805 0x0403c780 0x1400c001 0x0423c780
0x1004d003 0x00000280 0x101c8001 0x00000003
0x00000005 0xc0000780 0x1000f815 0x0403c780
0x20000a01 0x04008780 0xd409800d 0x20000780
0x00020009 0xc0000780 0xd0093811 0x20000780
0x20018a15 0x00000003 0x1c00c001 0x0423c780
0x3005c1fd 0x6c2147cc 0x6800ce05 0x80204780
0xd4000805 0x20000780 0x1000c001 0x0423c784
0x10042003 0x00000280 0x300209fd 0x6c00c7c8
0x30000003 0x00000280 0xd0094805 0x20000780
0x2503f00c 0x20008410 0x1500e000 0x20038408
0x00020805 0xc0000780 0x30000205 0xec000780
0x30020401 0xc4100780 0x2541ee04 0x2100e800
0xd00e0005 0xa0c00781
0x2000ca01 0x04200780 0xd00e0015 0x80c00780
0x1400d401 0x0423c780 0x30000a01 0xec000780
0x10022003 0x00000780 0x1000f801 0x0403c780
0x00020405 0xc0000782 0x308105fd 0x6c4107c8
0x04000e01 0xe4200780 0xa0037003 0x00000000
0x10037003 0x00000280 0x20000201 0x04008780
0x300401fd 0x6c0187c8 0x00020009 0xc0000780
0xa0036003 0x00000000 0x10035003 0x00000280
0xd009400d 0x20000780 0x20028200 0x2d03e010
0x20000001 0x04010780 0x30020001 0xc4100780
0x2000ca01 0x04200780 0xd00e0011 0x80c00780
0x1c00d401 0x0423c780 0x30000801 0xec000780
0x10036003 0x00000780 0x1000f801 0x0403c780
0x08000e01 0xe4200782 0xd0093809 0x20000782
0x2943ee00 0x3900e000 0x30000201 0xac000780
0x307c0005 0x8c000780 0x861ffe03 0x00000000
0xd0093809 0x20000780 0x387cc1fd 0x6c20c7c8
0x1000f811 0x0403c780 0x1004d003 0x00000280
0x101c8001 0x00000003 0x0000000d 0xc0000780
0x1000f815 0x0403c780 0x20000a01 0x04008780
0xd0093811 0x20000780 0x20018a15 0x00000003
0xdc098009 0x20000780 0x3005c1fd 0x6c2147cc
0x00020011 0xc0000780 0x1800c001 0x0423c780
0x6000ce11 0x80210784 0xdc00080d 0x20000780
0x10043003 0x00000280 0x861ffe03 0x00000000
0xd0093809 0x20000780 0x2902e014 0x1900e400
0x00020a09 0xc0000780 0x30000801 0xec000780
0x2840ce01 0x04200780 0x08000e01 0xe4200780
0x861ffe03 0x00000000 0xd0093809 0x20000780
0x2800c001 0x04204780 0x300201fd 0x6c0107c8
0x3802c1fd 0x6c20c2c8 0xa0061003 0x00000000
0x10061003 0x00000100 0xd0093809 0x20000780
0x2903f400 0x20008400 0x30020011 0xc4100780
0x1500ee00 0x2104e810 0xd00e0801 0xa0c00780
0x2800c001 0x04204780 0xf0000001 0xe0000002
0x20008405 0x00000013 0x300101fd 0x6c00c7c8
0x30000003 0x00000280 0xd0098809 0x20000780
0x2903e000 0x20008400 0x30020001 0xc4100780
0xd4083805 0x20000780 0x2100e804 0x1500e000
0x20008205 0x00000043 0xd00e0201 0xa0c00781
}
}
code {
@@ -820,68 +827,67 @@ code {
segname = const
segnum = 1
offset = 0
bytes = 28
bytes = 16
mem {
0x00000010 0x000003ff 0x0000000e 0x00000008
0x00000004 0x00000002 0x00000001
0x00000010 0x000003ff 0x0000000e 0x00000001
}
}
bincode {
0x10028009 0x00000003 0x1000cc05 0x0423c780
0x30010409 0xc4000780 0x10000005 0x0403c780
0x30800409 0xac400780 0xa0000401 0x04000780
0xd0820609 0x00400780 0x300005fd 0x640107c8
0xa000040d 0x04000780 0x308207fd 0x6440c2c8
0x3080040d 0xac400780 0xa0000401 0x04000780
0xd0820609 0x00400780 0x300007fd 0x640107c8
0xa0000411 0x04000780 0x308209fd 0x6440c2c8
0xa001b003 0x00000000 0x1001a003 0x00000100
0x2101ec11 0x00000003 0x100f8005 0x00000003
0x30040205 0xc4000780 0x40034e15 0x00200780
0x2101ec09 0x00000003 0x100f8005 0x00000003
0x30020205 0xc4000780 0x40034e15 0x00200780
0x30100a15 0xc4100780 0x60024e15 0x00214780
0x30040605 0xc4000780 0x20000a11 0x04004780
0x60804c05 0x00600780 0x20000205 0x04010780
0x30020805 0xc4000780 0x20000a09 0x04004780
0x60804c05 0x00600780 0x20000205 0x04008780
0x30020205 0xc4100780 0x2000ca05 0x04204780
0xd00e0205 0x80c00780 0x1001b003 0x00000780
0x103f8005 0x000fffff 0x30040611 0xc4100782
0x20000811 0x04000780 0x00020805 0xc0000780
0x04020e01 0xe4204780 0x861ffe03 0x00000000
0x30040005 0xc4100780 0x20000605 0x04004780
0x00020205 0xc0000780 0xd4083805 0x20000780
0x00020809 0xc0000780 0x1400c005 0x0423c780
0x08000e01 0xe4204780 0x861ffe03 0x00000000
0x00020805 0xc0000780 0x1400de05 0x0423c780
0x3401ce05 0x6c210780 0xd0830205 0x04400780
0x20008214 0x20018804 0x04020e01 0xe4214780
0x00020209 0xc0000780 0x1800ce05 0x0423c780
0x04000e01 0xe4204780 0x1400d605 0x0423c780
0x3401ce05 0x6c210780 0xd0840205 0x04400780
0x20000805 0x04004780 0x00020209 0xc0000780
0xd808380d 0x20000780 0x1c00c005 0x0423c780
0x04020e01 0xe4204780 0x1800ce05 0x0423c780
0x04000e01 0xe4204780 0x1400d205 0x0423c780
0x3401ce05 0x6c210780 0xd0850205 0x04400780
0x20000805 0x04004780 0x00020209 0xc0000780
0xd808380d 0x20000780 0x1c00c005 0x0423c780
0x04020e01 0xe4204780 0x1800ce05 0x0423c780
0x307c0001 0x64008780 0x04000e01 0xe4204780
0x30030415 0x64010780 0xd0860005 0x04400780
0x1400d001 0x0423c780 0xd0860a15 0x04400780
0x3400ce01 0x6c210780 0xd0050205 0x040007c0
0xa005c003 0x00000000 0xa0000015 0x2c014780
0x1005c003 0x00000100 0x40054c1d 0x00200780
0xa0004e01 0x04200780 0x2102ec19 0x00000003
0x30100e1d 0xc4100780 0x30060001 0xc4000780
0x60044c19 0x0021c780 0x20048a1c 0x20008c00
0x00020e05 0xc0000780 0x20000601 0x04000780
0xd4083805 0x20000780 0x30020019 0xc4100780
0x1500e000 0x2106e818 0xd00e0c01 0xa0c00780
0x307c03fd 0x6c0087ca 0x30000003 0x00000280
0x2101ec05 0x00000003 0x40054c21 0x00200780
0x10018001 0x00000003 0xa0004e19 0x04200780
0x2102ec1d 0x00000003 0x30101021 0xc4100780
0x30010001 0xc4000780 0x30070c05 0xc4000780
0x60044c09 0x00220780 0x20018000 0x20038404
0x20048a08 0x20008200 0x00020405 0xc0000780
0x30020005 0xc4100780 0x1500ee00 0x2101e804
0xd00e0201 0xa0c00781
0xd00e0209 0x80c00780 0x1001b003 0x00000780
0x103f8009 0x000fffff 0x30040805 0xc4100782
0x20000205 0x04000780 0x00020205 0xc0000780
0x04000e01 0xe4208780 0x861ffe03 0x00000000
0x30040009 0xc4100780 0x20000809 0x04008780
0x00020405 0xc0000780 0x1400ce09 0x0423c780
0x861ffe03 0x00000000 0x00020205 0xc0000780
0x04000e01 0xe4208780 0x861ffe03 0x00000000
0x00020205 0xc0000780 0x20088015 0x00000003
0x3402dffd 0x6c2047c8 0x3402de19 0xac200780
0x10000015 0x0403c500 0x2004821d 0x00000003
0x04020e01 0xe4214780 0x00020e09 0xc0000780
0x04000e01 0xe4218780 0x10000209 0x0403c780
0x3806cffd 0x6c2047c8 0x10000e09 0x0403c280
0x0002040d 0xc0000780 0xdc08380d 0x20000780
0x3806ce15 0xac200780 0x1c00c009 0x0423c780
0x20028219 0x00000003 0x04020e01 0xe4208780
0x00020c09 0xc0000780 0x04000e01 0xe4214780
0x10000209 0x0403c780 0x3805cffd 0x6c2047c8
0x10000c09 0x0403c280 0x0002040d 0xc0000780
0xdc08380d 0x20000780 0x3805ce15 0xac200780
0x1c00c009 0x0423c780 0x307c0001 0x64008780
0x30040619 0x64010780 0x04020e01 0xe4208780
0xd0830001 0x04400780 0xd0830c09 0x04400780
0x04000e01 0xe4214780 0xd0020009 0x040007c0
0xa005d003 0x00000000 0x1400d001 0x0423c780
0x1005d003 0x00000100 0x40074c01 0x00200780
0xa0004e19 0x04200780 0x2102ec1d 0x00000003
0x00020205 0xc0000780 0x30100001 0xc4100780
0x30070c19 0xc4000780 0x3405d01d 0x6c204780
0x60064c01 0x00200780 0x20478204 0x20068000
0x00020209 0xc0000780 0x20000801 0x04000780
0xd8083809 0x20000780 0x30020005 0xc4100780
0x1900e000 0x2101e804 0xd00e0201 0xa0c00780
0x1400d001 0x0423c780 0x307c05fd 0x6c0087ca
0x30000003 0x00000280 0x2101ec09 0x00000003
0x40074c21 0x00200780 0x10018005 0x00000003
0xa0004e19 0x04200780 0x2102ec1d 0x00000003
0x30101021 0xc4100780 0x30020205 0xc4000780
0x30070c09 0xc4000780 0x60064c0d 0x00220780
0x20028204 0x20048608 0x20000405 0x04004780
0x30020205 0xc4100780 0x30000a01 0xac000780
0x2000c805 0x04204780 0xd00e0201 0xa0c00781
}
}
code {
@@ -1154,7 +1160,7 @@ code {
name = cudaCalcPartition
lmem = 0
smem = 2280
reg = 11
reg = 12
bar = 1
const {
segname = const
@@ -1168,71 +1174,51 @@ code {
bincode {
0xd0800205 0x00400780 0xa0000211 0x04000780
0xa0000019 0x04000780 0x30040801 0xc4100780
0x20000c15 0x04000780 0x30810bfd 0x644107c8
0xa0011003 0x00000000 0x30020a1d 0xc4100780
0x20000c25 0x04000780 0x308113fd 0x644107c8
0xa0011003 0x00000000 0x3002121d 0xc4100780
0x10011003 0x00000280 0xa0004e01 0x04200780
0x30070005 0xc4100780 0x30060001 0xc4100780
0x20008200 0x2100ec00 0x20000e01 0x04000780
0xd00e0001 0x80c00780 0x00000e05 0xc0000780
0x04041401 0xe4200780 0xf0000001 0xe0000002
0x861ffe03 0x00000000 0xa0004c0d 0x04200780
0x1000d201 0x0423c780 0x40060209 0x00000780
0x10018021 0x00000003 0x1000ce05 0x0423c780
0x30100409 0xc4100780 0x30011005 0xc4000780
0x60060021 0x00008780 0x30019004 0x1100f000
0x3001d205 0xa4200780 0x40030009 0x00000780
0x60020209 0x00008780 0x30100409 0xc4100780
0x60020001 0x00008780 0xd0105005 0x20000780
0x3400c001 0x04200780 0x30000bfd 0x6c0187c8
0xa0037003 0x00000000 0x10036003 0x00000280
0x1000d001 0x0423c780 0x40070009 0x00000780
0x60060209 0x00008780 0x30100409 0xc4100780
0x60060009 0x00008780 0x1000d201 0x0423c780
0x40050025 0x00000780 0x60040225 0x00024780
0x30101225 0xc4100780 0x60040001 0x00024780
0xd010a005 0x20000780 0x2500e000 0x20008a00
0x30020001 0xc4100780 0x2000ca01 0x04200780
0xd00e0001 0x80c00780 0x10037003 0x00000780
0x1000f801 0x0403c780 0x00000e05 0xc0000782
0x861ffe03 0x00000000 0xa0004c09 0x04200780
0x1100f004 0x1100f200 0x40040214 0x4003082c
0x10018029 0x00000003 0x1000ce0d 0x0423c780
0x30100a21 0xc4100780 0x30101615 0xc4100780
0x3003140d 0xc4000780 0x60040021 0x00020780
0x60020815 0x00014780 0x3003900c 0x1100f004
0x400a0229 0x00000780 0x3003d20d 0xa4200780
0x600b0029 0x00028780 0x40030c2d 0x00000780
0x30101429 0xc4100780 0x60020e2d 0x0002c780
0x600a0001 0x00028780 0xd0105005 0x20000780
0x30101615 0xc4100780 0x20000001 0x04024780
0x60020c05 0x00014780 0x3400c1fd 0x6c20c7c8
0x300113fd 0x6c0042c8 0xd010a005 0x20000780
0x2400c001 0x04200680 0x30020001 0xc4100680
0x2000ca01 0x04200680 0xd00e0001 0x80c00680
0x1000f801 0x0403c100 0x301f0005 0xec100780
0x30010001 0xc4100780 0xd0000201 0x04008780
0x00000e05 0xc0000780 0x30820001 0xac400780
0x04001401 0xe4200780 0xd0105009 0x20000780
0x20018c05 0x00000003 0x1000d001 0x0423c780
0x1100f014 0x40010424 0x3800c015 0x04214780
0x60000629 0x00024780 0x400b0425 0x00000780
0x30101429 0xc4100780 0x600a0625 0x00024780
0x200005fd 0x040107c8 0x60000401 0x00028780
0x30101209 0xc4100780 0x600a0401 0x00008100
0x04021401 0xe4200780 0x861ffe03 0x00000000
0xd0105005 0x20000780 0x3405c1fd 0x6c2107c8
0xa005a003 0x00000000 0x10044003 0x00000280
0xd0105005 0x20000780 0x3400c001 0x04214780
0x00020005 0xc0000780 0xd4085005 0x20000780
0x1400c001 0x0423c780 0x1005a003 0x00000780
0x307c07fd 0x640087c8 0xa0059003 0x00000000
0x10058003 0x00000280 0x1000d001 0x0423c780
0x40070009 0x00000780 0x60060209 0x00008780
0x30100409 0xc4100780 0x60060009 0x00008780
0x1000d201 0x0423c780 0x40050025 0x00000780
0x60040225 0x00024780 0x30101225 0xc4100780
0x60040001 0x00024780 0xd0105005 0x20000780
0x2500f400 0x20008a00 0x3400c001 0x04200780
0x30020001 0xc4100780 0x2000ca01 0x04200780
0xd00e0001 0x80c00780 0x10059003 0x00000780
0x1000f801 0x0403c780 0xf0000001 0xe0000002
0x301f0009 0xec100782 0x30010001 0xc4100780
0xd0000401 0x04008780 0x00000e05 0xc0000780
0x30820001 0xac400780 0x04001401 0xe4200780
0x861ffe03 0x00000000 0xd0105005 0x20000780
0x20018c09 0x00000003 0x1100f000 0x1100f014
0x3505e014 0x40000a24 0x60010825 0x00024780
0x400b0829 0x00000780 0x30101225 0xc4100780
0x600a0a29 0x00028780 0x200007fd 0x040107c8
0x60000801 0x00024780 0x3010140d 0xc4100780
0x600a0801 0x0000c100 0x00000e05 0xc0000780
0x307cd1fd 0x6c20c7c8 0x04021401 0xe4200780
0x10000009 0x0403c780 0x10083003 0x00000280
0x1000d001 0x0423c780 0x4009000d 0x00000780
0x6008020d 0x0000c780 0x3010060d 0xc4100780
0x60080001 0x0000c780 0x200a800d 0x00000003
0x00020605 0xc0000780 0xa0082003 0x00000000
0x2000d00d 0x04200780 0x3606c215 0xec200780
0x20018001 0x00000003 0x20000409 0x04014780
0x00000e09 0xc0000780 0x300301fd 0x6c0147c8
0x08021401 0xe4208780 0x1007b003 0x00000280
0x307cd1fd 0x6c20c7c8 0x1005b003 0x00000280
0x1000d001 0x0423c780 0x40090005 0x00000780
0x60080205 0x00004780 0x30100205 0xc4100780
0x60080005 0x00004780 0x00000e05 0xc0000780
0x200a8201 0x00000003 0xd4085009 0x20000780
0x00020005 0xc0000780 0xa005a003 0x00000000
0x1900e000 0x2101f008 0x3606c215 0xec200780
0x20018205 0x00000003 0x20000001 0x04014780
0x00000e09 0xc0000780 0x300203fd 0x6c0147c8
0x08021401 0xe4200780 0x10053003 0x00000280
0xf0000001 0xe0000002 0x861ffe03 0x00000000
0x300603fd 0x640107c8 0x308309fd 0x6440c2c8
0x300607fd 0x640107c8 0x308309fd 0x6440c2c8
0x30000003 0x00000100 0x2101ee05 0x00000003
0x100f8001 0x00000003 0x30010001 0xc4000780
0x40014e09 0x00200780 0x30100409 0xc4100780
@@ -1269,7 +1255,7 @@ code {
code {
name = cudaCalcLargePartition
lmem = 0
smem = 3304
smem = 2280
reg = 10
bar = 1
const {
@@ -1284,66 +1270,51 @@ code {
}
bincode {
0xd0800205 0x00400780 0xa000020d 0x04000780
0xa0000005 0x04000780 0x30040601 0xc4100780
0x20000215 0x04000780 0x30810bfd 0x644107c8
0xa0011003 0x00000000 0x30020a11 0xc4100780
0x10011003 0x00000280 0xa0004e01 0x04200780
0x30070009 0xc4100780 0x30060001 0xc4100780
0x20008400 0x2100ec00 0x20000801 0x04000780
0xd00e0001 0x80c00780 0x00000805 0xc0000780
0x04061401 0xe4200780 0xf0000001 0xe0000002
0xa0000001 0x04000780 0x30040605 0xc4100780
0x20000005 0x04004780 0x308103fd 0x644107c8
0xa0011003 0x00000000 0x30020211 0xc4100780
0x10011003 0x00000280 0xa0004e09 0x04200780
0x30070415 0xc4100780 0x30060409 0xc4100780
0x20028a08 0x2102ec08 0x20000809 0x04008780
0xd00e0409 0x80c00780 0x00000805 0xc0000780
0x04041401 0xe4208780 0xf0000001 0xe0000002
0x861ffe03 0x00000000 0x00000805 0xc0000780
0x307cd1fd 0x6c20c7c8 0x04041401 0xe43f0780
0x1006b003 0x00000280 0x3082d019 0xac600780
0x1000f81d 0x0403c780 0x307c0dfd 0x6c0107c8
0xd0185005 0x20000780 0x1500e000 0x20058e20
0x2040d001 0x04200780 0x300011fd 0x6c0187d8
0xa002c003 0x00000000 0x1002b003 0x00001280
0x1000d001 0x0423c780 0x40014c09 0x00200780
0x30100409 0xc4100780 0x60004c09 0x00208780
0xd018a005 0x20000780 0x20058e00 0x2502e008
0x20000001 0x04008780 0x30020001 0xc4100780
0x2000ca01 0x04200780 0xd00e0001 0x80c00780
0x1002c003 0x00000780 0x1000f801 0x0403c780
0x00000805 0xc0000782 0x04001401 0xe4200780
0x861ffe03 0x00000000 0xd0185005 0x20000780
0x3405c1fd 0x6c2107d8 0xa004c003 0x00000000
0x10038003 0x00001280 0xd0185005 0x20000780
0x3400c001 0x04214780 0x00020005 0xc0000780
0x1400d401 0x0423c780 0x1004c003 0x00000780
0x307c0ffd 0x6c0147d8 0xa0004c09 0x04200780
0x307c05fd 0x64015158 0x3008d1fd 0x6c2112d8
0xa004b003 0x00000000 0x1004a003 0x00001100
0x1000d001 0x0423c780 0x40050021 0x00000780
0x60040221 0x00020780 0x30101021 0xc4100780
0x60040009 0x00020780 0xd0185005 0x20000780
0x20058e00 0x2502f408 0x20028000 0x3500e000
0x30020001 0xc4100780 0x2000ca01 0x04200780
0xd00e0001 0x80c00780 0x1004b003 0x00000780
0x1000f801 0x0403c780 0xf0000001 0xe0000002
0x301f0009 0xec100782 0x30010001 0xc4100780
0xd0000401 0x04008780 0x00000805 0xc0000780
0x30830001 0xac400780 0x04021401 0xe4200780
0x861ffe03 0x00000000 0x10063003 0x00000100
0x200a8201 0x00000003 0x00020005 0xc0000780
0xa0062003 0x00000000 0x10008200 0x20068208
0x00000809 0xc0000780 0xd4080011 0x20000780
0xd810500d 0x20000780 0x3003c021 0xec200784
0x20108001 0x00000003 0x2c00c021 0x04220780
0x300201fd 0x6c0047d8 0x08041401 0xe4220780
0xd4008005 0x20000780 0x10058003 0x00001280
0x307cd1fd 0x6c20c7c8 0x04021401 0xe43f0780
0x1004d003 0x00000280 0xa0004c15 0x04200780
0x1000d009 0x0423c780 0x400a0a19 0x00000780
0x30100c19 0xc4100780 0x600a0809 0x00018780
0x3082d015 0xac600780 0x2000d01d 0x04208780
0xa004c003 0x00000000 0x307c0bfd 0x6c0107c8
0x20028218 0x2007821c 0xd0105005 0x20000780
0x3406c1fd 0x6c20c7d8 0x3001d1fd 0x6c2112d8
0xa002d003 0x00000000 0x1002c003 0x00001100
0xd010a005 0x20000780 0x2400c009 0x04218780
0x30020409 0xc4100780 0x2000ca09 0x04208780
0xd00e0409 0x80c00780 0x1002d003 0x00000780
0x1000f809 0x0403c780 0x301f0421 0xec100782
0x30010409 0xc4100780 0xd0021009 0x04008780
0x00000805 0xc0000780 0x30830409 0xac400780
0x04001401 0xe4208780 0x861ffe03 0x00000000
0x10043003 0x00000100 0x200a8009 0x00000003
0x00020405 0xc0000780 0xa0042003 0x00000000
0x10008008 0x20058020 0x00000809 0xc0000780
0x3403c025 0xec200780 0xd808500d 0x20000780
0x20108409 0x00000003 0x2c00c025 0x04224780
0x300805fd 0x6c0047d8 0x08021401 0xe4224780
0xd4008005 0x20000780 0x10039003 0x00001280
0xf0000001 0xe0000002 0x00000805 0xc0000780
0xd4105009 0x20000780 0x3883c001 0xac600780
0x04041401 0xe4200780 0x861ffe03 0x00000000
0x20008e1d 0x00000013 0x3007d1fd 0x6c2107d8
0x1001a003 0x00001280 0x00000805 0xc0000780
0xd4105009 0x20000780 0x1900f000 0x2900e000
0x04041401 0xe4200780 0x1900e800 0x2900e000
0x04041401 0xe4200780 0x1900e400 0x2900e000
0x04041401 0xe4200780 0x1800c201 0x0423c780
0x307c03fd 0x640087c8 0x2800c001 0x04200780
0x308407fd 0x6440c2c8 0x04041401 0xe4200780
0x30000003 0x00000100 0xd0185005 0x20000780
0xd4085009 0x20000780 0x3883c009 0xac600780
0x04021401 0xe4208780 0x861ffe03 0x00000000
0x20008c19 0x00000013 0x30070dfd 0x6c0047d8
0x20008205 0x00000013 0x10021003 0x00001280
0xf0000001 0xe0000002 0x00000805 0xc0000780
0xd4085009 0x20000780 0x1900f004 0x2901e004
0x04021401 0xe4204780 0x1900e804 0x2901e004
0x04021401 0xe4204780 0x1900e404 0x2901e004
0x04021401 0xe4204780 0x1800c205 0x0423c780
0x307c01fd 0x640087c8 0x2800c001 0x04204780
0x308407fd 0x6440c2c8 0x04021401 0xe4200780
0x30000003 0x00000100 0xd0105005 0x20000780
0x2101ee19 0x00000003 0x100f8005 0x00000003
0x20018609 0x00000003 0x1000d001 0x0423c780
0x30060205 0xc4000780 0x1100f014 0x41032e1c
@@ -1353,7 +1324,7 @@ code {
0x00000805 0xc0000780 0x30100e1d 0xc4100780
0x600a0a11 0x00018780 0x2000020d 0x0400c780
0xa0004c05 0x042007c0 0x60000801 0x0001c780
0x30100811 0xc4100780 0xd4105005 0x20000780
0x30100811 0xc4100780 0xd4085005 0x20000780
0x20000205 0x0400c780 0x600a0801 0x00010100
0x3483c009 0xac600780 0x30020205 0xc4100780
0x20028000 0x2101e804 0xd00e0201 0xa0c00781