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authorAlan Mishchenko <alanmi@berkeley.edu>2021-08-01 12:13:27 -0700
committerAlan Mishchenko <alanmi@berkeley.edu>2021-08-01 12:13:27 -0700
commit4cf906d2fc64f5f27fd1f01580b89a60c4ee7e61 (patch)
tree2ec8d9238dd18920a28cb789eab5599f267de689 /src/aig/gia/giaMinLut.c
parente162a26197b194e6b9adfcf455edb4312285c644 (diff)
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Experiments with LUT mapping for small functions.
Diffstat (limited to 'src/aig/gia/giaMinLut.c')
-rw-r--r--src/aig/gia/giaMinLut.c126
1 files changed, 124 insertions, 2 deletions
diff --git a/src/aig/gia/giaMinLut.c b/src/aig/gia/giaMinLut.c
index 832d5e79..80d4476e 100644
--- a/src/aig/gia/giaMinLut.c
+++ b/src/aig/gia/giaMinLut.c
@@ -566,6 +566,44 @@ word * Gia_ManCountFraction( Gia_Man_t * p, Vec_Wrd_t * vSimI, Vec_Int_t * vSupp
*pCare = nGood;
return pRes;
}
+void Gia_ManPermuteSupp_rec( Gia_Man_t * p, int iObj, Vec_Int_t * vLevels, Vec_Int_t * vCounts )
+{
+ Gia_Obj_t * pObj; int n;
+ if ( !iObj || Gia_ObjIsTravIdCurrentId(p, iObj) )
+ return;
+ Gia_ObjSetTravIdCurrentId(p, iObj);
+ pObj = Gia_ManObj( p, iObj );
+ if ( Gia_ObjIsCi(pObj) )
+ return;
+ assert( Gia_ObjIsAnd(pObj) );
+ Gia_ManPermuteSupp_rec( p, Gia_ObjFaninId0(pObj, iObj), vLevels, vCounts );
+ Gia_ManPermuteSupp_rec( p, Gia_ObjFaninId1(pObj, iObj), vLevels, vCounts );
+ for ( n = 0; n < 2; n++ )
+ {
+ Gia_Obj_t * pFanin = n ? Gia_ObjFanin1(pObj) : Gia_ObjFanin0(pObj);
+ if ( !Gia_ObjIsCi(pFanin) )
+ continue;
+ Vec_IntAddToEntry( vLevels, Gia_ObjCioId(pFanin), Gia_ObjLevel(p, pObj) );
+ Vec_IntAddToEntry( vCounts, Gia_ObjCioId(pFanin), 1 );
+ }
+}
+void Gia_ManPermuteSupp( Gia_Man_t * p, int iOut, int nOuts, Vec_Int_t * vSupp )
+{
+ Vec_Int_t * vLevels = Vec_IntStart( Gia_ManCiNum(p) );
+ Vec_Int_t * vCounts = Vec_IntStart( Gia_ManCiNum(p) );
+ int i, * pCost = ABC_CALLOC( int, Gia_ManCiNum(p) );
+ Gia_Obj_t * pObj;
+ Gia_ManIncrementTravId( p );
+ for ( i = 0; i < nOuts; i++ )
+ Gia_ManPermuteSupp_rec( p, Gia_ObjFaninId0p(p, Gia_ManCo(p, iOut+i)), vLevels, vCounts );
+ Gia_ManForEachObjVec( vSupp, p, pObj, i )
+ pCost[i] = 10000 * Vec_IntEntry(vLevels, Gia_ObjCioId(pObj)) / Vec_IntEntry(vCounts, Gia_ObjCioId(pObj));
+ Vec_IntFree( vCounts );
+ Vec_IntFree( vLevels );
+ Vec_IntSelectSortCost2( Vec_IntArray(vSupp), Vec_IntSize(vSupp), pCost );
+ assert( Vec_IntSize(vSupp) < 2 || pCost[0] <= pCost[1] );
+ ABC_FREE( pCost );
+}
void Gia_ManCollectSupp_rec( Gia_Man_t * p, int iObj, Vec_Int_t * vSupp )
{
Gia_Obj_t * pObj;
@@ -591,6 +629,12 @@ Vec_Int_t * Gia_ManCollectSupp( Gia_Man_t * p, int iOut, int nOuts )
Gia_ManCollectSupp_rec( p, Gia_ObjFaninId0p(p, Gia_ManCo(p, iOut+i)), vSupp );
return vSupp;
}
+Vec_Int_t * Gia_ManCollectSuppNew( Gia_Man_t * p, int iOut, int nOuts )
+{
+ Vec_Int_t * vRes = Gia_ManCollectSupp( p, iOut, nOuts );
+ Gia_ManPermuteSupp( p, iOut, nOuts, vRes );
+ return vRes;
+}
int Gia_ManPerformLNetOpt_rec( Gia_Man_t * pNew, Gia_Man_t * p, Gia_Obj_t * pObj )
{
if ( ~pObj->Value )
@@ -602,7 +646,6 @@ int Gia_ManPerformLNetOpt_rec( Gia_Man_t * pNew, Gia_Man_t * p, Gia_Obj_t * pObj
}
Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, int fTryNew, char * pFileName, int nIns, int nOuts, int Thresh, int nRounds, int fVerbose )
{
- extern int Gia_ManDupOrderDfs_rec( Gia_Man_t * pNew, Gia_Man_t * p, Gia_Obj_t * pObj );
extern Gia_Man_t * Gia_TryPermOpt( word * pTruths, int nIns, int nOuts, int nWords, int nRounds, int fVerbose );
extern Gia_Man_t * Gia_TryPermOptCare( word * pTruths, int nIns, int nOuts, int nWords, int nRounds, int fVerbose );
extern int Kit_TruthToGia2( Gia_Man_t * p, unsigned * pTruth0, unsigned * pTruth1, int nVars, Vec_Int_t * vMemory, Vec_Int_t * vLeaves, int fHash );
@@ -620,6 +663,7 @@ Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, int fTryNew, char * pFileName,
printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimI), Vec_WrdSize(vSimI))/(64*Vec_WrdSize(vSimI)) );
printf( "Using patterns with count %d and higher as cares.\n", Thresh );
}
+ Gia_ManLevelNum( p );
Gia_ManFillValue( p );
pNew = Gia_ManStart( Gia_ManObjNum(p) );
pNew->pName = Abc_UtilStrsav( p->pName );
@@ -631,7 +675,7 @@ Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, int fTryNew, char * pFileName,
Gia_ManHashStart( pNew );
for ( g = 0; g < Gia_ManCoNum(p); g += nOuts )
{
- Vec_Int_t * vSupp = Gia_ManCollectSupp( p, g, nOuts );
+ Vec_Int_t * vSupp = Gia_ManCollectSuppNew( p, g, nOuts );
int Care = 1 << Vec_IntSize(vSupp), Temp = fVerbose ? printf( "Group %3d / %3d / %3d : Supp = %3d %s", g, nOuts, Gia_ManCoNum(p), Vec_IntSize(vSupp), vSimI ? "":"\n" ) : 0;
word * pCare = vSimI ? Gia_ManCountFraction( p, vSimI, vSupp, Thresh, fVerbose, &Care ) : ABC_FALLOC( word, Abc_Truth6WordNum(Vec_IntSize(vSupp)) );
int nWords = Abc_Truth6WordNum( Vec_IntSize(vSupp) );
@@ -706,6 +750,84 @@ Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, int fTryNew, char * pFileName,
ABC_FREE( pTruthsTry );
return pNew;
}
+Gia_Man_t * Gia_ManPerformLNetOptNew( Gia_Man_t * p, char * pFileName, int nIns, int nOuts, int Thresh, int nRounds, int fVerbose )
+{
+ extern Gia_Man_t * Gia_TryPermOptNew( word * pTruths, int nIns, int nOuts, int nWords, int nRounds, int fVerbose );
+ abctime clk = Abc_Clock();
+ Gia_Man_t * pNew, * pMin; Gia_Obj_t * pObj;
+ Vec_Int_t * vLeaves = Vec_IntAlloc( nIns );
+ Vec_Wrd_t * vSimI = pFileName ? Vec_WrdReadBin( pFileName, fVerbose ) : NULL;
+ word * pTruthsTry = ABC_CALLOC( word, (nOuts+1)*Abc_Truth6WordNum(nIns) );
+ int k, g; float CareAve = 0;
+ if ( vSimI && fVerbose )
+ {
+ //int nPats = 64*Vec_WrdSize(vSimI)/Gia_ManCiNum(p);
+ printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimI), Vec_WrdSize(vSimI))/(64*Vec_WrdSize(vSimI)) );
+ printf( "Using patterns with count %d and higher as cares.\n", Thresh );
+ }
+ Gia_ManLevelNum( p );
+ Gia_ManFillValue( p );
+ pNew = Gia_ManStart( Gia_ManObjNum(p) );
+ pNew->pName = Abc_UtilStrsav( p->pName );
+ pNew->pSpec = Abc_UtilStrsav( p->pSpec );
+ Gia_ManConst0(p)->Value = 0;
+ Gia_ManForEachCi( p, pObj, k )
+ pObj->Value = Gia_ManAppendCi(pNew);
+ Gia_ObjComputeTruthTableStart( p, nIns );
+ Gia_ManHashStart( pNew );
+ for ( g = 0; g < Gia_ManCoNum(p); g += nOuts )
+ {
+ Vec_Int_t * vSupp = Gia_ManCollectSuppNew( p, g, nOuts );
+ int Care = 1 << Vec_IntSize(vSupp), Temp = fVerbose ? printf( "Group %3d / %3d / %3d : Supp = %3d %s", g, nOuts, Gia_ManCoNum(p), Vec_IntSize(vSupp), vSimI ? "":"\n" ) : 0;
+ word * pCare = vSimI ? Gia_ManCountFraction( p, vSimI, vSupp, Thresh, fVerbose, &Care ) : ABC_FALLOC( word, Abc_Truth6WordNum(Vec_IntSize(vSupp)) );
+ int nWords = Abc_Truth6WordNum( Vec_IntSize(vSupp) );
+ CareAve += 100.0*Care/(1 << Vec_IntSize(vSupp));
+ assert( Vec_IntSize(vSupp) <= nIns );
+ Vec_IntClear( vLeaves );
+ Gia_ManForEachObjVec( vSupp, p, pObj, k )
+ Vec_IntPush( vLeaves, pObj->Value );
+ for ( k = 0; k < nOuts; k++ )
+ {
+ Gia_Obj_t * pObj = Gia_ManCo( p, g+k );
+ word * pTruth = Gia_ObjComputeTruthTableCut( p, Gia_ObjFanin0(pObj), vSupp );
+ Abc_TtCopy( pTruthsTry + k*nWords, pTruth, nWords, Gia_ObjFaninC0(pObj) );
+ }
+ Abc_TtCopy( pTruthsTry + nOuts*nWords, pCare, nWords, 0 );
+ ABC_FREE( pCare );
+ pMin = Gia_TryPermOptNew( pTruthsTry, Vec_IntSize(vSupp), nOuts, nWords, nRounds, fVerbose );
+ Gia_ManFillValue( pMin );
+ Gia_ManConst0(pMin)->Value = 0;
+ Gia_ManForEachCi( pMin, pObj, k )
+ pObj->Value = Vec_IntEntry( vLeaves, k );
+ Gia_ManForEachCo( pMin, pObj, k )
+ {
+ Gia_Obj_t * pObj0 = Gia_ManCo( p, g+k );
+ pObj0->Value = Gia_ManPerformLNetOpt_rec( pNew, pMin, Gia_ObjFanin0(pObj) );
+ pObj0->Value ^= Gia_ObjFaninC0(pObj);
+ }
+ Gia_ManStop( pMin );
+ Vec_IntFree( vSupp );
+ Temp = 0;
+ }
+ CareAve /= Gia_ManCoNum(p)/nOuts;
+ Gia_ManHashStop( pNew );
+ Gia_ManForEachCo( p, pObj, k )
+ pObj->Value = Gia_ManAppendCo( pNew, pObj->Value );
+ Gia_ObjComputeTruthTableStop( p );
+ Vec_IntFree( vLeaves );
+ Vec_WrdFreeP( &vSimI );
+ Gia_ManSetRegNum( pNew, Gia_ManRegNum(p) );
+ printf( "Using patterns with count %d and higher as cares. Average care set is %8.4f %%. ", Thresh, CareAve );
+ Abc_PrintTime( 1, "Time", Abc_Clock() - clk );
+ if ( 0 )
+ {
+ FILE * pTable = fopen( "stats.txt", "a+" );
+ fprintf( pTable, "%0.2f ", CareAve );
+ fclose( pTable );
+ }
+ ABC_FREE( pTruthsTry );
+ return pNew;
+}
#ifdef ABC_USE_CUDD