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authorTim Rowley <[email protected]>2017-01-18 18:08:40 -0600
committerTim Rowley <[email protected]>2017-02-08 13:57:10 -0600
commitfeecd7dcf5e63c1ae9e8d2f74cc70371818958b8 (patch)
treef0457a34f3e39131194e7bb1c32cdea0ba9c3346 /src/gallium/drivers/swr
parenta618d6c3e95e09a344ff72697245d2c680d645d3 (diff)
swr: [rasterizer core] Frontend SIMD16 WIP
SIMD16 Primitive Assembly (PA) only supports TriList and RectList. CUT_AWARE_PA, TESS, GS, and SO disabled in the SIMD16 front end. Reviewed-by: Bruce Cherniak <[email protected]>
Diffstat (limited to 'src/gallium/drivers/swr')
-rw-r--r--src/gallium/drivers/swr/rasterizer/core/frontend.cpp299
-rw-r--r--src/gallium/drivers/swr/rasterizer/core/frontend.h4
-rw-r--r--src/gallium/drivers/swr/rasterizer/core/knobs.h1
-rw-r--r--src/gallium/drivers/swr/rasterizer/core/pa.h268
-rw-r--r--src/gallium/drivers/swr/rasterizer/core/pa_avx.cpp284
5 files changed, 813 insertions, 43 deletions
diff --git a/src/gallium/drivers/swr/rasterizer/core/frontend.cpp b/src/gallium/drivers/swr/rasterizer/core/frontend.cpp
index c8dce10c9de..b005ead0d15 100644
--- a/src/gallium/drivers/swr/rasterizer/core/frontend.cpp
+++ b/src/gallium/drivers/swr/rasterizer/core/frontend.cpp
@@ -1027,7 +1027,7 @@ static void TessellationStages(
SWR_TS_TESSELLATED_DATA tsData = { 0 };
AR_BEGIN(FETessellation, pDC->drawId);
TSTessellate(tsCtx, hsContext.pCPout[p].tessFactors, tsData);
- AR_EVENT(TessPrimCount(1));
+ AR_EVENT(TessPrimCount(1));
AR_END(FETessellation, 0);
if (tsData.NumPrimitives == 0)
@@ -1161,12 +1161,9 @@ void ProcessDraw(
DRAW_WORK& work = *(DRAW_WORK*)pUserData;
const API_STATE& state = GetApiState(pDC);
- __m256i vScale = _mm256_set_epi32(7, 6, 5, 4, 3, 2, 1, 0);
- SWR_VS_CONTEXT vsContext;
- simdvertex vin;
- int indexSize = 0;
- uint32_t endVertex = work.numVerts;
+ uint32_t indexSize = 0;
+ uint32_t endVertex = work.numVerts;
const int32_t* pLastRequestedIndex = nullptr;
if (IsIndexedT::value)
@@ -1197,30 +1194,6 @@ void ProcessDraw(
endVertex = GetNumVerts(state.topology, GetNumPrims(state.topology, work.numVerts));
}
- SWR_FETCH_CONTEXT fetchInfo = { 0 };
- fetchInfo.pStreams = &state.vertexBuffers[0];
- fetchInfo.StartInstance = work.startInstance;
- fetchInfo.StartVertex = 0;
-
- vsContext.pVin = &vin;
-
- if (IsIndexedT::value)
- {
- fetchInfo.BaseVertex = work.baseVertex;
-
- // if the entire index buffer isn't being consumed, set the last index
- // so that fetches < a SIMD wide will be masked off
- fetchInfo.pLastIndex = (const int32_t*)(((uint8_t*)state.indexBuffer.pIndices) + state.indexBuffer.size);
- if (pLastRequestedIndex < fetchInfo.pLastIndex)
- {
- fetchInfo.pLastIndex = pLastRequestedIndex;
- }
- }
- else
- {
- fetchInfo.StartVertex = work.startVertex;
- }
-
#if defined(KNOB_ENABLE_RDTSC) || defined(KNOB_ENABLE_AR)
uint32_t numPrims = GetNumPrims(state.topology, work.numVerts);
#endif
@@ -1259,6 +1232,267 @@ void ProcessDraw(
PA_FACTORY<IsIndexedT, IsCutIndexEnabledT> paFactory(pDC, state.topology, work.numVerts);
PA_STATE& pa = paFactory.GetPA();
+#if USE_SIMD16_FRONTEND
+ simdvertex vin_lo;
+ simdvertex vin_hi;
+ SWR_VS_CONTEXT vsContext_lo;
+ SWR_VS_CONTEXT vsContext_hi;
+
+ vsContext_lo.pVin = &vin_lo;
+ vsContext_hi.pVin = &vin_hi;
+
+ SWR_FETCH_CONTEXT fetchInfo_lo = { 0 };
+
+ fetchInfo_lo.pStreams = &state.vertexBuffers[0];
+ fetchInfo_lo.StartInstance = work.startInstance;
+ fetchInfo_lo.StartVertex = 0;
+
+ if (IsIndexedT::value)
+ {
+ fetchInfo_lo.BaseVertex = work.baseVertex;
+
+ // if the entire index buffer isn't being consumed, set the last index
+ // so that fetches < a SIMD wide will be masked off
+ fetchInfo_lo.pLastIndex = (const int32_t*)(((uint8_t*)state.indexBuffer.pIndices) + state.indexBuffer.size);
+ if (pLastRequestedIndex < fetchInfo_lo.pLastIndex)
+ {
+ fetchInfo_lo.pLastIndex = pLastRequestedIndex;
+ }
+ }
+ else
+ {
+ fetchInfo_lo.StartVertex = work.startVertex;
+ }
+
+ SWR_FETCH_CONTEXT fetchInfo_hi = fetchInfo_lo;
+
+ const simd16scalari vScale = _simd16_set_epi32(15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
+
+ for (uint32_t instanceNum = 0; instanceNum < work.numInstances; instanceNum++)
+ {
+ uint32_t i = 0;
+
+ simd16scalari vIndex;
+
+ if (IsIndexedT::value)
+ {
+ fetchInfo_lo.pIndices = work.pIB;
+ fetchInfo_hi.pIndices = (int32_t *)((uint8_t *)fetchInfo_lo.pIndices + KNOB_SIMD_WIDTH * indexSize); // 1/2 of KNOB_SIMD16_WIDTH
+ }
+ else
+ {
+ vIndex = _simd16_add_epi32(_simd16_set1_epi32(work.startVertexID), vScale);
+
+ fetchInfo_lo.pIndices = (const int32_t *)&vIndex.lo;
+ fetchInfo_hi.pIndices = (const int32_t *)&vIndex.hi;
+ }
+
+ fetchInfo_lo.CurInstance = instanceNum;
+ fetchInfo_hi.CurInstance = instanceNum;
+
+ vsContext_lo.InstanceID = instanceNum;
+ vsContext_hi.InstanceID = instanceNum;
+
+ while (pa.HasWork())
+ {
+ // PaGetNextVsOutput currently has the side effect of updating some PA state machine state.
+ // So we need to keep this outside of (i < endVertex) check.
+
+ simdmask *pvCutIndices_lo = nullptr;
+ simdmask *pvCutIndices_hi = nullptr;
+
+ if (IsIndexedT::value)
+ {
+ pvCutIndices_lo = &pa.GetNextVsIndices();
+ pvCutIndices_hi = &pa.GetNextVsIndices();
+ }
+
+ simdvertex &vout_lo = pa.GetNextVsOutput_simd16_lo();
+ simdvertex &vout_hi = pa.GetNextVsOutput_simd16_hi();
+
+ vsContext_lo.pVout = &vout_lo;
+ vsContext_hi.pVout = &vout_hi;
+
+ if (i < endVertex)
+ {
+ // 1. Execute FS/VS for a single SIMD.
+ AR_BEGIN(FEFetchShader, pDC->drawId);
+ state.pfnFetchFunc(fetchInfo_lo, vin_lo);
+ if ((i + KNOB_SIMD_WIDTH) < endVertex)
+ {
+ state.pfnFetchFunc(fetchInfo_hi, vin_hi);
+ }
+ AR_END(FEFetchShader, 0);
+
+ // forward fetch generated vertex IDs to the vertex shader
+ vsContext_lo.VertexID = fetchInfo_lo.VertexID;
+ vsContext_hi.VertexID = fetchInfo_hi.VertexID;
+
+ // Setup active mask for vertex shader.
+ vsContext_lo.mask = GenerateMask(endVertex - i);
+ vsContext_hi.mask = GenerateMask(endVertex - (i + KNOB_SIMD_WIDTH));
+
+ // forward cut mask to the PA
+ if (IsIndexedT::value)
+ {
+ *pvCutIndices_lo = _simd_movemask_ps(_simd_castsi_ps(fetchInfo_lo.CutMask));
+ *pvCutIndices_hi = _simd_movemask_ps(_simd_castsi_ps(fetchInfo_hi.CutMask));
+ }
+
+ UPDATE_STAT_FE(IaVertices, GetNumInvocations(i, endVertex));
+
+#if KNOB_ENABLE_TOSS_POINTS
+ if (!KNOB_TOSS_FETCH)
+#endif
+ {
+ AR_BEGIN(FEVertexShader, pDC->drawId);
+ state.pfnVertexFunc(GetPrivateState(pDC), &vsContext_lo);
+ if ((i + KNOB_SIMD_WIDTH) < endVertex)
+ {
+ state.pfnVertexFunc(GetPrivateState(pDC), &vsContext_hi);
+ }
+ AR_END(FEVertexShader, 0);
+
+ UPDATE_STAT_FE(VsInvocations, GetNumInvocations(i, endVertex));
+ }
+ }
+
+ // 2. Assemble primitives given the last two SIMD.
+ do
+ {
+ simd16vector prim_simd16[MAX_NUM_VERTS_PER_PRIM];
+
+ RDTSC_START(FEPAAssemble);
+ bool assemble = pa.Assemble_simd16(VERTEX_POSITION_SLOT, prim_simd16);
+ RDTSC_STOP(FEPAAssemble, 1, 0);
+
+#if KNOB_ENABLE_TOSS_POINTS
+ if (!KNOB_TOSS_FETCH)
+#endif
+ {
+#if KNOB_ENABLE_TOSS_POINTS
+ if (!KNOB_TOSS_VS)
+#endif
+ {
+ if (assemble)
+ {
+ UPDATE_STAT_FE(IaPrimitives, pa.NumPrims());
+
+#if 0
+ if (HasTessellationT::value)
+ {
+ TessellationStages<HasGeometryShaderT, HasStreamOutT, HasRastT>(
+ pDC, workerId, pa, pGsOut, pCutBuffer, pStreamCutBuffer, pSoPrimData, pa.GetPrimID(work.startPrimID));
+ }
+ else if (HasGeometryShaderT::value)
+ {
+ GeometryShaderStage<HasStreamOutT, HasRastT>(
+ pDC, workerId, pa, pGsOut, pCutBuffer, pStreamCutBuffer, pSoPrimData, pa.GetPrimID(work.startPrimID));
+ }
+ else
+#endif
+ {
+#if 0
+ // If streamout is enabled then stream vertices out to memory.
+ if (HasStreamOutT::value)
+ {
+ StreamOut(pDC, pa, workerId, pSoPrimData, 0);
+ }
+
+#endif
+ if (HasRastT::value)
+ {
+ SWR_ASSERT(pDC->pState->pfnProcessPrims);
+
+ uint32_t genMask = GenMask(pa.NumPrims_simd16());
+ uint32_t genMask_lo = genMask & 255;
+ uint32_t genMask_hi = (genMask >> 8) & 255;
+
+ simdscalari getPrimId_lo = pa.GetPrimID_simd16_lo(work.startPrimID);
+ simdscalari getPrimId_hi = pa.GetPrimID_simd16_hi(work.startPrimID);
+
+ simdvector prim[MAX_NUM_VERTS_PER_PRIM];
+
+ for (uint32_t i = 0; i < 3; i += 1)
+ {
+ for (uint32_t j = 0; j < 4; j += 1)
+ {
+ prim[i][j] = prim_simd16[i][j].lo;
+ }
+ }
+
+ pa.useAlternateOffset = false;
+ pDC->pState->pfnProcessPrims(pDC, pa, workerId, prim,
+ genMask_lo, getPrimId_lo, _simd_set1_epi32(0));
+
+ if (genMask_hi)
+ {
+ for (uint32_t i = 0; i < 3; i += 1)
+ {
+ for (uint32_t j = 0; j < 4; j += 1)
+ {
+ prim[i][j] = prim_simd16[i][j].hi;
+ }
+ }
+
+ pa.useAlternateOffset = true;
+ pDC->pState->pfnProcessPrims(pDC, pa, workerId, prim,
+ genMask_hi, getPrimId_hi, _simd_set1_epi32(0));
+ }
+ }
+ }
+ }
+ }
+ }
+ } while (pa.NextPrim());
+
+ if (IsIndexedT::value)
+ {
+ fetchInfo_lo.pIndices = (int32_t *)((uint8_t*)fetchInfo_lo.pIndices + KNOB_SIMD16_WIDTH * indexSize);
+ fetchInfo_hi.pIndices = (int32_t *)((uint8_t*)fetchInfo_hi.pIndices + KNOB_SIMD16_WIDTH * indexSize);
+ }
+ else
+ {
+ vIndex = _simd16_add_epi32(vIndex, _simd16_set1_epi32(KNOB_SIMD16_WIDTH));
+ }
+
+ i += KNOB_SIMD16_WIDTH;
+ }
+
+ pa.Reset();
+ }
+
+#else
+ simdvertex vin;
+ SWR_VS_CONTEXT vsContext;
+
+ vsContext.pVin = &vin;
+
+ SWR_FETCH_CONTEXT fetchInfo = { 0 };
+
+ fetchInfo.pStreams = &state.vertexBuffers[0];
+ fetchInfo.StartInstance = work.startInstance;
+ fetchInfo.StartVertex = 0;
+
+ if (IsIndexedT::value)
+ {
+ fetchInfo.BaseVertex = work.baseVertex;
+
+ // if the entire index buffer isn't being consumed, set the last index
+ // so that fetches < a SIMD wide will be masked off
+ fetchInfo.pLastIndex = (const int32_t*)(((uint8_t*)state.indexBuffer.pIndices) + state.indexBuffer.size);
+ if (pLastRequestedIndex < fetchInfo.pLastIndex)
+ {
+ fetchInfo.pLastIndex = pLastRequestedIndex;
+ }
+ }
+ else
+ {
+ fetchInfo.StartVertex = work.startVertex;
+ }
+
+ const simdscalari vScale = _mm256_set_epi32(7, 6, 5, 4, 3, 2, 1, 0);
+
/// @todo: temporarily move instance loop in the FE to ensure SO ordering
for (uint32_t instanceNum = 0; instanceNum < work.numInstances; instanceNum++)
{
@@ -1367,6 +1601,7 @@ void ProcessDraw(
if (HasRastT::value)
{
SWR_ASSERT(pDC->pState->pfnProcessPrims);
+
pDC->pState->pfnProcessPrims(pDC, pa, workerId, prim,
GenMask(pa.NumPrims()), pa.GetPrimID(work.startPrimID), _simd_set1_epi32(0));
}
@@ -1376,7 +1611,6 @@ void ProcessDraw(
}
} while (pa.NextPrim());
- i += KNOB_SIMD_WIDTH;
if (IsIndexedT::value)
{
fetchInfo.pIndices = (int*)((uint8_t*)fetchInfo.pIndices + KNOB_SIMD_WIDTH * indexSize);
@@ -1385,10 +1619,13 @@ void ProcessDraw(
{
vIndex = _simd_add_epi32(vIndex, _simd_set1_epi32(KNOB_SIMD_WIDTH));
}
+
+ i += KNOB_SIMD_WIDTH;
}
pa.Reset();
}
+#endif
AR_END(FEProcessDraw, numPrims * work.numInstances);
}
diff --git a/src/gallium/drivers/swr/rasterizer/core/frontend.h b/src/gallium/drivers/swr/rasterizer/core/frontend.h
index 46924947a73..6d5f6a31b8e 100644
--- a/src/gallium/drivers/swr/rasterizer/core/frontend.h
+++ b/src/gallium/drivers/swr/rasterizer/core/frontend.h
@@ -170,8 +170,8 @@ void calcDeterminantIntVertical(const simdscalari vA[3], const simdscalari vB[3]
simdscalari detHi = _simd_sub_epi64(vA1B2Hi, vA2B1Hi);
// shuffle 0 1 4 5 -> 0 1 2 3
- simdscalari vResultLo = _mm256_permute2f128_si256(detLo, detHi, 0x20);
- simdscalari vResultHi = _mm256_permute2f128_si256(detLo, detHi, 0x31);
+ simdscalari vResultLo = _simd_permute2f128_si(detLo, detHi, 0x20);
+ simdscalari vResultHi = _simd_permute2f128_si(detLo, detHi, 0x31);
pvDet[0] = vResultLo;
pvDet[1] = vResultHi;
diff --git a/src/gallium/drivers/swr/rasterizer/core/knobs.h b/src/gallium/drivers/swr/rasterizer/core/knobs.h
index bbe15c1e48f..8e54f90526b 100644
--- a/src/gallium/drivers/swr/rasterizer/core/knobs.h
+++ b/src/gallium/drivers/swr/rasterizer/core/knobs.h
@@ -40,6 +40,7 @@
#define ENABLE_AVX512_SIMD16 0
#define USE_8x2_TILE_BACKEND 0
+#define USE_SIMD16_FRONTEND 0
///////////////////////////////////////////////////////////////////////////////
// Architecture validation
diff --git a/src/gallium/drivers/swr/rasterizer/core/pa.h b/src/gallium/drivers/swr/rasterizer/core/pa.h
index 2b8110f4c70..826032ad54e 100644
--- a/src/gallium/drivers/swr/rasterizer/core/pa.h
+++ b/src/gallium/drivers/swr/rasterizer/core/pa.h
@@ -41,6 +41,10 @@ struct PA_STATE
// The topology the binner will use. In some cases the FE changes the topology from the api state.
PRIMITIVE_TOPOLOGY binTopology{ TOP_UNKNOWN };
+#if ENABLE_AVX512_SIMD16
+ bool useAlternateOffset{ false };
+
+#endif
PA_STATE() {}
PA_STATE(DRAW_CONTEXT *in_pDC, uint8_t* in_pStreamBase, uint32_t in_streamSizeInVerts) :
pDC(in_pDC), pStreamBase(in_pStreamBase), streamSizeInVerts(in_streamSizeInVerts) {}
@@ -48,14 +52,28 @@ struct PA_STATE
virtual bool HasWork() = 0;
virtual simdvector& GetSimdVector(uint32_t index, uint32_t slot) = 0;
virtual bool Assemble(uint32_t slot, simdvector verts[]) = 0;
+#if ENABLE_AVX512_SIMD16
+ virtual bool Assemble_simd16(uint32_t slot, simd16vector verts[]) = 0;
+#endif
virtual void AssembleSingle(uint32_t slot, uint32_t primIndex, __m128 verts[]) = 0;
virtual bool NextPrim() = 0;
virtual simdvertex& GetNextVsOutput() = 0;
+#if ENABLE_AVX512_SIMD16
+ virtual simdvertex& GetNextVsOutput_simd16_lo() = 0;
+ virtual simdvertex& GetNextVsOutput_simd16_hi() = 0;
+#endif
virtual bool GetNextStreamOutput() = 0;
virtual simdmask& GetNextVsIndices() = 0;
virtual uint32_t NumPrims() = 0;
+#if ENABLE_AVX512_SIMD16
+ virtual uint32_t NumPrims_simd16() = 0;
+#endif
virtual void Reset() = 0;
virtual simdscalari GetPrimID(uint32_t startID) = 0;
+#if ENABLE_AVX512_SIMD16
+ virtual simdscalari GetPrimID_simd16_lo(uint32_t startID) = 0;
+ virtual simdscalari GetPrimID_simd16_hi(uint32_t startID) = 0;
+#endif
};
// The Optimized PA is a state machine that assembles triangles from vertex shader simd
@@ -94,13 +112,23 @@ struct PA_STATE_OPT : public PA_STATE
typedef bool(*PFN_PA_FUNC)(PA_STATE_OPT& state, uint32_t slot, simdvector verts[]);
typedef void(*PFN_PA_SINGLE_FUNC)(PA_STATE_OPT& pa, uint32_t slot, uint32_t primIndex, __m128 verts[]);
+#if ENABLE_AVX512_SIMD16
+ typedef bool(*PFN_PA_FUNC_SIMD16)(PA_STATE_OPT& state, uint32_t slot, simd16vector verts[]);
+#endif
PFN_PA_FUNC pfnPaFunc{ nullptr }; // PA state machine function for assembling 4 triangles.
PFN_PA_SINGLE_FUNC pfnPaSingleFunc{ nullptr }; // PA state machine function for assembling single triangle.
PFN_PA_FUNC pfnPaFuncReset{ nullptr }; // initial state to set on reset
+#if ENABLE_AVX512_SIMD16
+ PFN_PA_FUNC_SIMD16 pfnPaFunc_simd16{ nullptr }; // PA state machine function for assembling 16 triangles
+ PFN_PA_FUNC_SIMD16 pfnPaFuncReset_simd16{ nullptr }; // initial state to set on reset
+#endif
// state used to advance the PA when Next is called
PFN_PA_FUNC pfnPaNextFunc{ nullptr };
+#if ENABLE_AVX512_SIMD16
+ PFN_PA_FUNC_SIMD16 pfnPaNextFunc_simd16{ nullptr };
+#endif
uint32_t nextNumSimdPrims{ 0 };
uint32_t nextNumPrimsIncrement{ 0 };
bool nextReset{ false };
@@ -130,6 +158,13 @@ struct PA_STATE_OPT : public PA_STATE
return this->pfnPaFunc(*this, slot, verts);
}
+#if ENABLE_AVX512_SIMD16
+ bool Assemble_simd16(uint32_t slot, simd16vector verts[])
+ {
+ return this->pfnPaFunc_simd16(*this, slot, verts);
+ }
+
+#endif
// Assembles 1 primitive. Each simdscalar is a vertex (xyzw).
void AssembleSingle(uint32_t slot, uint32_t primIndex, __m128 verts[])
{
@@ -139,6 +174,9 @@ struct PA_STATE_OPT : public PA_STATE
bool NextPrim()
{
this->pfnPaFunc = this->pfnPaNextFunc;
+#if ENABLE_AVX512_SIMD16
+ this->pfnPaFunc_simd16 = this->pfnPaNextFunc_simd16;
+#endif
this->numSimdPrims = this->nextNumSimdPrims;
this->numPrimsComplete += this->nextNumPrimsIncrement;
this->reset = this->nextReset;
@@ -181,7 +219,33 @@ struct PA_STATE_OPT : public PA_STATE
simdvertex* pVertex = (simdvertex*)pStreamBase;
return pVertex[this->cur];
}
-
+
+#if ENABLE_AVX512_SIMD16
+ simdvertex& GetNextVsOutput_simd16_lo()
+ {
+ // increment cur and prev indices
+ const uint32_t numSimdVerts = this->streamSizeInVerts / KNOB_SIMD16_WIDTH;
+ this->prev = this->cur; // prev is undefined for first state.
+ this->cur = this->counter % numSimdVerts;
+
+ simdvertex* pVertex = (simdvertex*)pStreamBase;
+ return pVertex[this->cur * 2];
+ }
+
+ simdvertex& GetNextVsOutput_simd16_hi()
+ {
+ // increment cur and prev indices
+ const uint32_t numSimdVerts = this->streamSizeInVerts / KNOB_SIMD16_WIDTH;
+#if 1
+ this->prev = this->cur; // prev is undefined for first state.
+ this->cur = this->counter % numSimdVerts;
+#endif
+
+ simdvertex* pVertex = (simdvertex*)pStreamBase;
+ return pVertex[this->cur * 2 + 1];
+ }
+
+#endif
simdmask& GetNextVsIndices()
{
// unused in optimized PA, pass tmp buffer back
@@ -202,6 +266,14 @@ struct PA_STATE_OPT : public PA_STATE
(KNOB_SIMD_WIDTH - (this->numPrimsComplete + this->nextNumPrimsIncrement - this->numPrims)) : KNOB_SIMD_WIDTH;
}
+#if ENABLE_AVX512_SIMD16
+ uint32_t NumPrims_simd16()
+ {
+ return (this->numPrimsComplete + this->nextNumPrimsIncrement > this->numPrims) ?
+ (KNOB_SIMD16_WIDTH - (this->numPrimsComplete + this->nextNumPrimsIncrement - this->numPrims)) : KNOB_SIMD16_WIDTH;
+ }
+
+#endif
void SetNextState(PA_STATE_OPT::PFN_PA_FUNC pfnPaNextFunc,
PA_STATE_OPT::PFN_PA_SINGLE_FUNC pfnPaNextSingleFunc,
uint32_t numSimdPrims = 0,
@@ -216,8 +288,28 @@ struct PA_STATE_OPT : public PA_STATE
this->pfnPaSingleFunc = pfnPaNextSingleFunc;
}
+#if ENABLE_AVX512_SIMD16
+ void SetNextState_simd16(PA_STATE_OPT::PFN_PA_FUNC_SIMD16 pfnPaNextFunc_simd16,
+ PA_STATE_OPT::PFN_PA_SINGLE_FUNC pfnPaNextSingleFunc,
+ uint32_t numSimdPrims = 0,
+ uint32_t numPrimsIncrement = 0,
+ bool reset = false)
+ {
+ this->pfnPaNextFunc_simd16 = pfnPaNextFunc_simd16;
+ this->nextNumSimdPrims = numSimdPrims;
+ this->nextNumPrimsIncrement = numPrimsIncrement;
+ this->nextReset = reset;
+
+ this->pfnPaSingleFunc = pfnPaNextSingleFunc;
+ }
+
+#endif
void Reset()
{
+#if ENABLE_AVX512_SIMD16
+ useAlternateOffset = false;
+
+#endif
this->pfnPaFunc = this->pfnPaFuncReset;
this->numPrimsComplete = 0;
this->numSimdPrims = 0;
@@ -233,6 +325,28 @@ struct PA_STATE_OPT : public PA_STATE
return _simd_add_epi32(this->primID,
_simd_set1_epi32(startID + this->primIDIncr * (this->numPrimsComplete / KNOB_SIMD_WIDTH)));
}
+#if ENABLE_AVX512_SIMD16
+
+ simdscalari GetPrimID_simd16_lo(uint32_t startID)
+ {
+#if 1
+ return _simd_add_epi32(this->primID,
+ _simd_set1_epi32(startID + (this->primIDIncr / 2) * (this->numPrimsComplete / KNOB_SIMD_WIDTH) * 2));
+#else
+ return _simd_set1_epi32(0);
+#endif
+ }
+
+ simdscalari GetPrimID_simd16_hi(uint32_t startID)
+ {
+#if 1
+ return _simd_add_epi32(this->primID,
+ _simd_set1_epi32(startID + (this->primIDIncr / 2) * ((this->numPrimsComplete / KNOB_SIMD_WIDTH) * 2 + 1)));
+#else
+ return _simd_set1_epi32(0);
+#endif
+ }
+#endif
};
// helper C wrappers to avoid having to rewrite all the PA topology state functions
@@ -244,6 +358,18 @@ INLINE void SetNextPaState(PA_STATE_OPT& pa, PA_STATE_OPT::PFN_PA_FUNC pfnPaNext
{
return pa.SetNextState(pfnPaNextFunc, pfnPaNextSingleFunc, numSimdPrims, numPrimsIncrement, reset);
}
+
+#if ENABLE_AVX512_SIMD16
+INLINE void SetNextPaState_simd16(PA_STATE_OPT& pa, PA_STATE_OPT::PFN_PA_FUNC_SIMD16 pfnPaNextFunc_simd16,
+ PA_STATE_OPT::PFN_PA_SINGLE_FUNC pfnPaNextSingleFunc,
+ uint32_t numSimdPrims = 0,
+ uint32_t numPrimsIncrement = 0,
+ bool reset = false)
+{
+ return pa.SetNextState_simd16(pfnPaNextFunc_simd16, pfnPaNextSingleFunc, numSimdPrims, numPrimsIncrement, reset);
+}
+
+#endif
INLINE simdvector& PaGetSimdVector(PA_STATE& pa, uint32_t index, uint32_t slot)
{
return pa.GetSimdVector(index, slot);
@@ -418,6 +544,24 @@ struct PA_STATE_CUT : public PA_STATE
return ((simdvertex*)pStreamBase)[vertexIndex];
}
+#if ENABLE_AVX512_SIMD16
+ simdvertex& GetNextVsOutput_simd16_lo()
+ {
+ uint32_t vertexIndex = this->headVertex / KNOB_SIMD16_WIDTH;
+ this->headVertex = (this->headVertex + KNOB_SIMD16_WIDTH) % this->numVerts;
+ this->needOffsets = true;
+ return ((simdvertex*)pStreamBase)[vertexIndex * 2];
+ }
+
+ simdvertex& GetNextVsOutput_simd16_hi()
+ {
+ uint32_t vertexIndex = this->headVertex / KNOB_SIMD16_WIDTH;
+ this->headVertex = (this->headVertex + KNOB_SIMD16_WIDTH) % this->numVerts;
+ this->needOffsets = true;
+ return ((simdvertex*)pStreamBase)[vertexIndex * 2 + 1];
+ }
+
+#endif
simdmask& GetNextVsIndices()
{
uint32_t vertexIndex = this->headVertex / KNOB_SIMD_WIDTH;
@@ -444,8 +588,24 @@ struct PA_STATE_CUT : public PA_STATE
return _simd_add_epi32(_simd_set1_epi32(startID), this->vPrimId);
}
+#if ENABLE_AVX512_SIMD16
+ simdscalari GetPrimID_simd16_lo(uint32_t startID)
+ {
+ return _simd_add_epi32(_simd_set1_epi32(startID), this->vPrimId);
+ }
+
+ simdscalari GetPrimID_simd16_hi(uint32_t startID)
+ {
+ return _simd_add_epi32(_simd_set1_epi32(startID + KNOB_SIMD_WIDTH), this->vPrimId);
+ }
+
+#endif
void Reset()
{
+#if ENABLE_AVX512_SIMD16
+ useAlternateOffset = false;
+
+#endif
this->numRemainingVerts = this->numVertsToAssemble;
this->numPrimsAssembled = 0;
this->curIndex = 0;
@@ -597,6 +757,14 @@ struct PA_STATE_CUT : public PA_STATE
return true;
}
+#if ENABLE_AVX512_SIMD16
+ bool Assemble_simd16(uint32_t slot, simd16vector verts[])
+ {
+ SWR_ASSERT(false);
+ return false;
+ }
+
+#endif
void AssembleSingle(uint32_t slot, uint32_t triIndex, __m128 tri[3])
{
// move to slot
@@ -620,6 +788,13 @@ struct PA_STATE_CUT : public PA_STATE
return this->numPrimsAssembled;
}
+#if ENABLE_AVX512_SIMD16
+ uint32_t NumPrims_simd16()
+ {
+ return this->numPrimsAssembled;
+ }
+
+#endif
// Per-topology functions
void ProcessVertTriStrip(uint32_t index, bool finish)
{
@@ -1025,12 +1200,6 @@ struct PA_TESS : PA_STATE
-1, -1, -1, -1, -1, -1, -1, -1,
0, 0, 0, 0, 0, 0, 0, 0
};
-#elif KNOB_SIMD_WIDTH == 16
- static const OSALIGNLINE(int32_t) maskGen[KNOB_SIMD_WIDTH * 2] =
- {
- -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
- 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
- };
#else
#error "Help, help, I can't get up!"
#endif
@@ -1038,6 +1207,21 @@ struct PA_TESS : PA_STATE
return _simd_loadu_si((const simdscalari*)&maskGen[KNOB_SIMD_WIDTH - numPrims]);
}
+#if ENABLE_AVX512_SIMD16
+ static simd16scalari GenPrimMask_simd16(uint32_t numPrims)
+ {
+ SWR_ASSERT(numPrims <= KNOB_SIMD16_WIDTH);
+
+ static const OSALIGNSIMD16(int32_t) maskGen_16[KNOB_SIMD16_WIDTH * 2] =
+ {
+ -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
+ };
+
+ return _simd16_loadu_si((const simd16scalari*)&maskGen_16[KNOB_SIMD16_WIDTH - numPrims]);
+ }
+
+#endif
bool Assemble(uint32_t slot, simdvector verts[])
{
static_assert(KNOB_SIMD_WIDTH == 8, "Need to revisit this when AVX512 is implemented");
@@ -1072,6 +1256,41 @@ struct PA_TESS : PA_STATE
return true;
}
+#if ENABLE_AVX512_SIMD16
+ bool Assemble_simd16(uint32_t slot, simd16vector verts[])
+ {
+ SWR_ASSERT(slot < m_numAttributes);
+
+ uint32_t numPrimsToAssemble = PA_TESS::NumPrims_simd16();
+ if (0 == numPrimsToAssemble)
+ {
+ return false;
+ }
+
+ simd16scalari mask = GenPrimMask_simd16(numPrimsToAssemble);
+
+ const float* pBaseAttrib = (const float*)&m_pVertexData[slot * m_attributeStrideInVectors * 4];
+ for (uint32_t i = 0; i < m_numVertsPerPrim; ++i)
+ {
+ simd16scalari indices = _simd16_load_si((const simd16scalari*)m_ppIndices[i]);
+
+ const float* pBase = pBaseAttrib;
+ for (uint32_t c = 0; c < 4; ++c)
+ {
+ verts[i].v[c] = _simd16_mask_i32gather_ps(
+ _simd16_setzero_ps(),
+ pBase,
+ indices,
+ mask,
+ 4 /* gcc doesn't like sizeof(float) */);
+ pBase += m_attributeStrideInVectors * KNOB_SIMD16_WIDTH;
+ }
+ }
+
+ return true;
+ }
+
+#endif
void AssembleSingle(uint32_t slot, uint32_t primIndex, __m128 verts[])
{
SWR_ASSERT(slot < m_numAttributes);
@@ -1110,6 +1329,22 @@ struct PA_TESS : PA_STATE
return junk;
}
+#if ENABLE_AVX512_SIMD16
+ simdvertex& GetNextVsOutput_simd16_lo()
+ {
+ SWR_ASSERT(0, "%s", __FUNCTION__);
+ static simdvertex junk;
+ return junk;
+ }
+
+ simdvertex& GetNextVsOutput_simd16_hi()
+ {
+ SWR_ASSERT(0, "%s", __FUNCTION__);
+ static simdvertex junk;
+ return junk;
+ }
+
+#endif
bool GetNextStreamOutput()
{
SWR_ASSERT(0, "%s", __FUNCTION__);
@@ -1128,6 +1363,13 @@ struct PA_TESS : PA_STATE
return std::min<uint32_t>(m_numPrims, KNOB_SIMD_WIDTH);
}
+#if ENABLE_AVX512_SIMD16
+ uint32_t NumPrims_simd16()
+ {
+ return std::min<uint32_t>(m_numPrims, KNOB_SIMD16_WIDTH);
+ }
+
+#endif
void Reset() { SWR_ASSERT(0); };
simdscalari GetPrimID(uint32_t startID)
@@ -1135,6 +1377,18 @@ struct PA_TESS : PA_STATE
return _simd_add_epi32(_simd_set1_epi32(startID), m_vPrimId);
}
+#if ENABLE_AVX512_SIMD16
+ simdscalari GetPrimID_simd16_lo(uint32_t startID)
+ {
+ return _simd_add_epi32(_simd_set1_epi32(startID), m_vPrimId);
+ }
+
+ simdscalari GetPrimID_simd16_hi(uint32_t startID)
+ {
+ return _simd_add_epi32(_simd_set1_epi32(startID + KNOB_SIMD_WIDTH), m_vPrimId);
+ }
+
+#endif
private:
const simdscalar* m_pVertexData = nullptr;
uint32_t m_attributeStrideInVectors = 0;
diff --git a/src/gallium/drivers/swr/rasterizer/core/pa_avx.cpp b/src/gallium/drivers/swr/rasterizer/core/pa_avx.cpp
index a95bbbfbd63..e2ae962b122 100644
--- a/src/gallium/drivers/swr/rasterizer/core/pa_avx.cpp
+++ b/src/gallium/drivers/swr/rasterizer/core/pa_avx.cpp
@@ -37,6 +37,11 @@
bool PaTriList0(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
bool PaTriList1(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
bool PaTriList2(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
+#if ENABLE_AVX512_SIMD16
+bool PaTriList0_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[]);
+bool PaTriList1_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[]);
+bool PaTriList2_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[]);
+#endif
void PaTriListSingle0(PA_STATE_OPT& pa, uint32_t slot, uint32_t primIndex, __m128 verts[]);
bool PaTriStrip0(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
@@ -68,6 +73,11 @@ void PaPointsSingle0(PA_STATE_OPT& pa, uint32_t slot, uint32_t primIndex, __m128
bool PaRectList0(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
bool PaRectList1(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
bool PaRectList2(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[]);
+#if ENABLE_AVX512_SIMD16
+bool PaRectList0_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[]);
+bool PaRectList1_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[]);
+bool PaRectList2_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[]);
+#endif
void PaRectListSingle0(PA_STATE_OPT& pa, uint32_t slot, uint32_t primIndex, __m128 verts[]);
template <uint32_t TotalControlPoints>
@@ -235,9 +245,9 @@ bool PaTriList2(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[])
#elif KNOB_ARCH >= KNOB_ARCH_AVX2
- simdvector &a = PaGetSimdVector(pa, 0, slot);
- simdvector &b = PaGetSimdVector(pa, 1, slot);
- simdvector &c = PaGetSimdVector(pa, 2, slot);
+ const simdvector &a = PaGetSimdVector(pa, 0, slot);
+ const simdvector &b = PaGetSimdVector(pa, 1, slot);
+ const simdvector &c = PaGetSimdVector(pa, 2, slot);
// v0 -> a0 a3 a6 b1 b4 b7 c2 c5
// v1 -> a1 a4 a7 b2 b5 c0 c3 c6
@@ -251,6 +261,7 @@ bool PaTriList2(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[])
simdvector &v1 = verts[1];
simdvector &v2 = verts[2];
+ // for simd x, y, z, and w
for (int i = 0; i < 4; ++i)
{
v0[i] = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x92), c[i], 0x24);
@@ -269,15 +280,156 @@ bool PaTriList2(PA_STATE_OPT& pa, uint32_t slot, simdvector verts[])
return true;
}
+#if ENABLE_AVX512_SIMD16
+bool PaTriList0_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[])
+{
+ SetNextPaState_simd16(pa, PaTriList1_simd16, PaTriListSingle0);
+ return false; // Not enough vertices to assemble 16 triangles
+}
+
+bool PaTriList1_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[])
+{
+ SetNextPaState_simd16(pa, PaTriList2_simd16, PaTriListSingle0);
+ return false; // Not enough vertices to assemble 16 triangles
+}
+
+bool PaTriList2_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[])
+{
+#if 0
+ const simdscalari perm0 = _simd_set_epi32(5, 2, 7, 4, 1, 6, 3, 0);
+ const simdscalari perm1 = _simd_set_epi32(6, 3, 0, 5, 2, 7, 4, 1);
+ const simdscalari perm2 = _simd_set_epi32(7, 4, 1, 6, 3, 0, 5, 2);
+
+ simd16vector &v0 = verts[0];
+ simd16vector &v1 = verts[1];
+ simd16vector &v2 = verts[2];
+
+ {
+ const simdvector &a = PaGetSimdVector(pa, 0, slot);
+ const simdvector &b = PaGetSimdVector(pa, 1, slot);
+ const simdvector &c = PaGetSimdVector(pa, 2, slot);
+
+ // v0 -> a0 a3 a6 b1 b4 b7 c2 c5
+ // v1 -> a1 a4 a7 b2 b5 c0 c3 c6
+ // v2 -> a2 a5 b0 b3 b6 c1 c4 c7
+
+ // for simd x, y, z, and w
+ for (int i = 0; i < 4; i += 1)
+ {
+ v0[i].lo = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x92), c[i], 0x24);
+ v0[i].lo = _mm256_permutevar8x32_ps(v0[i].lo, perm0);
+
+ v1[i].lo = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x24), c[i], 0x49);
+ v1[i].lo = _mm256_permutevar8x32_ps(v1[i].lo, perm1);
+
+ v2[i].lo = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x49), c[i], 0x92);
+ v2[i].lo = _mm256_permutevar8x32_ps(v2[i].lo, perm2);
+ }
+ }
+
+ {
+ const simdvector &a = PaGetSimdVector(pa, 3, slot);
+ const simdvector &b = PaGetSimdVector(pa, 4, slot);
+ const simdvector &c = PaGetSimdVector(pa, 5, slot);
+
+ // v0 -> a0 a3 a6 b1 b4 b7 c2 c5
+ // v1 -> a1 a4 a7 b2 b5 c0 c3 c6
+ // v2 -> a2 a5 b0 b3 b6 c1 c4 c7
+
+ // for simd x, y, z, and w
+ for (int i = 0; i < 4; i += 1)
+ {
+ v0[i].hi = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x92), c[i], 0x24);
+ v0[i].hi = _mm256_permutevar8x32_ps(v0[i].hi, perm0);
+
+ v1[i].hi = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x24), c[i], 0x49);
+ v1[i].hi = _mm256_permutevar8x32_ps(v1[i].hi, perm1);
+
+ v2[i].hi = _simd_blend_ps(_simd_blend_ps(a[i], b[i], 0x49), c[i], 0x92);
+ v2[i].hi = _mm256_permutevar8x32_ps(v2[i].hi, perm2);
+ }
+ }
+
+#else
+#if 1
+ const simdvector &a_lo = reinterpret_cast<const simdvector &>(PaGetSimdVector(pa, 0, slot));
+ const simdvector &a_hi = reinterpret_cast<const simdvector &>(PaGetSimdVector(pa, 1, slot));
+ const simdvector &b_lo = reinterpret_cast<const simdvector &>(PaGetSimdVector(pa, 2, slot));
+ const simdvector &b_hi = reinterpret_cast<const simdvector &>(PaGetSimdVector(pa, 3, slot));
+ const simdvector &c_lo = reinterpret_cast<const simdvector &>(PaGetSimdVector(pa, 4, slot));
+ const simdvector &c_hi = reinterpret_cast<const simdvector &>(PaGetSimdVector(pa, 5, slot));
+
+ simd16vector a;
+ simd16vector b;
+ simd16vector c;
+
+ for (uint32_t i = 0; i < 4; i += 1)
+ {
+ a[i].lo = a_lo[i];
+ a[i].hi = a_hi[i];
+ b[i].lo = b_lo[i];
+ b[i].hi = b_hi[i];
+ c[i].lo = c_lo[i];
+ c[i].hi = c_hi[i];
+ }
+
+#else
+ const simd16vector &a = reinterpret_cast<const simd16vector &>(PaGetSimdVector(pa, 0 * 2, slot));
+ const simd16vector &b = reinterpret_cast<const simd16vector &>(PaGetSimdVector(pa, 1 * 2, slot));
+ const simd16vector &c = reinterpret_cast<const simd16vector &>(PaGetSimdVector(pa, 2 * 2, slot));
+
+#endif
+ const simd16scalari perm0 = _simd16_set_epi32(13, 10, 7, 4, 1, 14, 11, 8, 5, 2, 15, 12, 9, 6, 3, 0);
+ const simd16scalari perm1 = _simd16_set_epi32(14, 11, 8, 5, 2, 15, 12, 9, 6, 3, 0, 13, 10, 7, 4, 1);
+ const simd16scalari perm2 = _simd16_set_epi32(15, 12, 9, 6, 3, 0, 13, 10, 7, 4, 1, 14, 11, 8, 5, 2);
+
+ simd16vector &v0 = verts[0];
+ simd16vector &v1 = verts[1];
+ simd16vector &v2 = verts[2];
+
+ // v0 -> a0 a3 a6 a9 aC aF b2 b5 b8 bB bE c1 c4 c7 cA cD
+ // v1 -> a1 a4 a7 aA aD b0 b3 b6 b9 bC bF c2 c5 c8 cB cE
+ // v2 -> a2 a5 b8 aB aE b1 b4 b7 bA bD c0 c3 c6 c9 cC cF
+
+ // for simd16 x, y, z, and w
+ for (int i = 0; i < 4; i += 1)
+ {
+ v0[i] = _simd16_blend_ps(_simd16_blend_ps(a[i], b[i], 0x4924), c[i], 0x2492);
+ v0[i] = _simd16_permute_ps(v0[i], perm0);
+
+ v1[i] = _simd16_blend_ps(_simd16_blend_ps(a[i], b[i], 0x9249), c[i], 0x4924);
+ v1[i] = _simd16_permute_ps(v1[i], perm1);
+
+ v2[i] = _simd16_blend_ps(_simd16_blend_ps(a[i], b[i], 0x2492), c[i], 0x9249);
+ v2[i] = _simd16_permute_ps(v2[i], perm2);
+ }
+
+#endif
+ SetNextPaState_simd16(pa, PaTriList0_simd16, PaTriListSingle0, 0, KNOB_SIMD16_WIDTH, true);
+ return true;
+}
+
+#endif
void PaTriListSingle0(PA_STATE_OPT& pa, uint32_t slot, uint32_t primIndex, __m128 verts[])
{
// We have 12 simdscalars contained within 3 simdvectors which
// hold at least 8 triangles worth of data. We want to assemble a single
// triangle with data in horizontal form.
+#if ENABLE_AVX512_SIMD16
+ const uint32_t i0 = pa.useAlternateOffset ? 3 : 0;
+ const uint32_t i1 = pa.useAlternateOffset ? 4 : 1;
+ const uint32_t i2 = pa.useAlternateOffset ? 5 : 2;
+
+ simdvector& a = PaGetSimdVector(pa, i0, slot);
+ simdvector& b = PaGetSimdVector(pa, i1, slot);
+ simdvector& c = PaGetSimdVector(pa, i2, slot);
+
+#else
simdvector& a = PaGetSimdVector(pa, 0, slot);
simdvector& b = PaGetSimdVector(pa, 1, slot);
simdvector& c = PaGetSimdVector(pa, 2, slot);
+#endif
// Convert from vertical to horizontal.
// Tri Pattern - provoking vertex is always v0
// v0 -> 0 3 6 9 12 15 18 21
@@ -940,6 +1092,112 @@ bool PaRectList2(
return true;
}
+#if ENABLE_AVX512_SIMD16
+//////////////////////////////////////////////////////////////////////////
+/// @brief State 1 for RECT_LIST topology.
+/// There is not enough to assemble 8 triangles.
+bool PaRectList0_simd16(PA_STATE_OPT& pa, uint32_t slot, simd16vector verts[])
+{
+ SetNextPaState_simd16(pa, PaRectList1_simd16, PaRectListSingle0);
+ return false;
+}
+
+//////////////////////////////////////////////////////////////////////////
+/// @brief State 1 for RECT_LIST topology.
+/// Rect lists has the following format.
+/// w x y z
+/// v2 o---o v5 o---o v8 o---o v11 o---o
+/// | \ | | \ | | \ | | \ |
+/// v1 o---o v4 o---o v7 o---o v10 o---o
+/// v0 v3 v6 v9
+///
+/// Only 3 vertices of the rectangle are supplied. The 4th vertex is implied.
+///
+/// tri0 = { v0, v1, v2 } tri1 = { v0, v2, w } <-- w = v0 - v1 + v2
+/// tri2 = { v3, v4, v5 } tri3 = { v3, v5, x } <-- x = v3 - v4 + v5
+/// etc.
+///
+/// PA outputs 3 simdvectors for each of the triangle vertices v0, v1, v2
+/// where v0 contains all the first vertices for 8 triangles.
+///
+/// Result:
+/// verts[0] = { v0, v0, v3, v3, v6, v6, v9, v9 }
+/// verts[1] = { v1, v2, v4, v5, v7, v8, v10, v11 }
+/// verts[2] = { v2, w, v5, x, v8, y, v11, z }
+///
+/// @param pa - State for PA state machine.
+/// @param slot - Index into VS output which is either a position (slot 0) or attribute.
+/// @param verts - triangle output for binner. SOA - Array of v0 for 8 triangles, followed by v1, etc.
+bool PaRectList1_simd16(
+ PA_STATE_OPT& pa,
+ uint32_t slot,
+ simd16vector verts[])
+{
+ // SIMD vectors a and b are the last two vertical outputs from the vertex shader.
+ simdvector& a = PaGetSimdVector(pa, 0, slot); // a[] = { v0, v1, v2, v3, v4, v5, v6, v7 }
+ simdvector& b = PaGetSimdVector(pa, 1, slot); // b[] = { v8, v9, v10, v11, v12, v13, v14, v15 }
+
+ __m256 tmp0, tmp1, tmp2;
+
+ // Loop over each component in the simdvector.
+ for (int i = 0; i < 4; i += 1)
+ {
+ simd16vector& v0 = verts[0]; // verts[0] needs to be { v0, v0, v3, v3, v6, v6, v9, v9 }
+ tmp0 = _mm256_permute2f128_ps(b[i], b[i], 0x01); // tmp0 = { v12, v13, v14, v15, v8, v9, v10, v11 }
+ v0[i].lo = _mm256_blend_ps(a[i], tmp0, 0x20); // v0 = { v0, *, *, v3, *, v9, v6, * } where * is don't care.
+ tmp1 = _mm256_permute_ps(v0[i].lo, 0xF0); // tmp1 = { v0, v0, v3, v3, *, *, *, * }
+ v0[i].lo = _mm256_permute_ps(v0[i].lo, 0x5A); // v0 = { *, *, *, *, v6, v6, v9, v9 }
+ v0[i].lo = _mm256_blend_ps(tmp1, v0[i].lo, 0xF0); // v0 = { v0, v0, v3, v3, v6, v6, v9, v9 }
+
+ /// NOTE This is a bit expensive due to conflicts between vertices in 'a' and 'b'.
+ /// AVX2 should make this much cheaper.
+ simd16vector& v1 = verts[1]; // verts[1] needs to be { v1, v2, v4, v5, v7, v8, v10, v11 }
+ v1[i].lo = _mm256_permute_ps(a[i], 0x09); // v1 = { v1, v2, *, *, *, *, *, * }
+ tmp1 = _mm256_permute_ps(a[i], 0x43); // tmp1 = { *, *, *, *, v7, *, v4, v5 }
+ tmp2 = _mm256_blend_ps(v1[i].lo, tmp1, 0xF0); // tmp2 = { v1, v2, *, *, v7, *, v4, v5 }
+ tmp1 = _mm256_permute2f128_ps(tmp2, tmp2, 0x1); // tmp1 = { v7, *, v4, v5, * *, *, * }
+ v1[i].lo = _mm256_permute_ps(tmp0, 0xE0); // v1 = { *, *, *, *, *, v8, v10, v11 }
+ v1[i].lo = _mm256_blend_ps(tmp2, v1[i].lo, 0xE0); // v1 = { v1, v2, *, *, v7, v8, v10, v11 }
+ v1[i].lo = _mm256_blend_ps(v1[i].lo, tmp1, 0x0C); // v1 = { v1, v2, v4, v5, v7, v8, v10, v11 }
+
+ // verts[2] = { v2, w, v5, x, v8, y, v11, z }
+ simd16vector& v2 = verts[2]; // verts[2] needs to be { v2, w, v5, x, v8, y, v11, z }
+ v2[i].lo = _mm256_permute_ps(tmp0, 0x30); // v2 = { *, *, *, *, v8, *, v11, * }
+ tmp1 = _mm256_permute_ps(tmp2, 0x31); // tmp1 = { v2, *, v5, *, *, *, *, * }
+ v2[i].lo = _mm256_blend_ps(tmp1, v2[i].lo, 0xF0);
+
+ // Need to compute 4th implied vertex for the rectangle.
+ tmp2 = _mm256_sub_ps(v0[i].lo, v1[i].lo);
+ tmp2 = _mm256_add_ps(tmp2, v2[i].lo); // tmp2 = { w, *, x, *, y, *, z, * }
+ tmp2 = _mm256_permute_ps(tmp2, 0xA0); // tmp2 = { *, w, *, x, *, y, *, z }
+ v2[i].lo = _mm256_blend_ps(v2[i].lo, tmp2, 0xAA); // v2 = { v2, w, v5, x, v8, y, v11, z }
+
+ v0[i].hi = _simd_setzero_ps();
+ v1[i].hi = _simd_setzero_ps();
+ v2[i].hi = _simd_setzero_ps();
+ }
+
+ SetNextPaState_simd16(pa, PaRectList1_simd16, PaRectListSingle0, 0, KNOB_SIMD16_WIDTH, true);
+ return true;
+}
+
+//////////////////////////////////////////////////////////////////////////
+/// @brief State 2 for RECT_LIST topology.
+/// Not implemented unless there is a use case for more then 8 rects.
+/// @param pa - State for PA state machine.
+/// @param slot - Index into VS output which is either a position (slot 0) or attribute.
+/// @param verts - triangle output for binner. SOA - Array of v0 for 8 triangles, followed by v1, etc.
+bool PaRectList2_simd16(
+ PA_STATE_OPT& pa,
+ uint32_t slot,
+ simd16vector verts[])
+{
+ SWR_ASSERT(0); // Is rect list used for anything other then clears?
+ SetNextPaState_simd16(pa, PaRectList0_simd16, PaRectListSingle0, 0, KNOB_SIMD16_WIDTH, true);
+ return true;
+}
+
+#endif
//////////////////////////////////////////////////////////////////////////
/// @brief This procedure is called by the Binner to assemble the attributes.
/// Unlike position, which is stored vertically, the attributes are
@@ -959,8 +1217,15 @@ void PaRectListSingle0(
// We have 12 simdscalars contained within 3 simdvectors which
// hold at least 8 triangles worth of data. We want to assemble a single
// triangle with data in horizontal form.
+#if ENABLE_AVX512_SIMD16
+ const uint32_t i0 = pa.useAlternateOffset ? 3 : 0;
+
+ simdvector& a = PaGetSimdVector(pa, i0, slot);
+
+#else
simdvector& a = PaGetSimdVector(pa, 0, slot);
+#endif
// Convert from vertical to horizontal.
switch(primIndex)
{
@@ -993,10 +1258,17 @@ PA_STATE_OPT::PA_STATE_OPT(DRAW_CONTEXT *in_pDC, uint32_t in_numPrims, uint8_t*
this->binTopology = topo == TOP_UNKNOWN ? state.topology : topo;
+#if ENABLE_AVX512_SIMD16
+ pfnPaFunc_simd16 = nullptr;
+
+#endif
switch (this->binTopology)
{
case TOP_TRIANGLE_LIST:
this->pfnPaFunc = PaTriList0;
+#if ENABLE_AVX512_SIMD16
+ this->pfnPaFunc_simd16 = PaTriList0_simd16;
+#endif
break;
case TOP_TRIANGLE_STRIP:
this->pfnPaFunc = PaTriStrip0;
@@ -1032,6 +1304,9 @@ PA_STATE_OPT::PA_STATE_OPT(DRAW_CONTEXT *in_pDC, uint32_t in_numPrims, uint8_t*
break;
case TOP_RECT_LIST:
this->pfnPaFunc = PaRectList0;
+#if ENABLE_AVX512_SIMD16
+ this->pfnPaFunc_simd16 = PaRectList0_simd16;
+#endif
this->numPrims = in_numPrims * 2;
break;
@@ -1138,6 +1413,9 @@ PA_STATE_OPT::PA_STATE_OPT(DRAW_CONTEXT *in_pDC, uint32_t in_numPrims, uint8_t*
};
this->pfnPaFuncReset = this->pfnPaFunc;
+#if ENABLE_AVX512_SIMD16
+ this->pfnPaFuncReset_simd16 = this->pfnPaFunc_simd16;
+#endif
// simdscalari id8 = _mm256_set_epi32(0, 1, 2, 3, 4, 5, 6, 7);
// simdscalari id4 = _mm256_set_epi32(0, 0, 1, 1, 2, 2, 3, 3);