diff --git a/Eigen/SparseLU b/Eigen/SparseLU
index 37c4a5c5a..047cf0dca 100644
--- a/Eigen/SparseLU
+++ b/Eigen/SparseLU
@@ -25,8 +25,6 @@
 
 #include "src/Core/util/DisableStupidWarnings.h"
 
-#include "src/SparseLU/SparseLU_gemm_kernel.h"
-
 #include "src/SparseLU/SparseLU_Structs.h"
 #include "src/SparseLU/SparseLU_SupernodalMatrix.h"
 #include "src/SparseLU/SparseLUImpl.h"
diff --git a/Eigen/src/SparseLU/SparseLU.h b/Eigen/src/SparseLU/SparseLU.h
index 761b95c98..6eb79502f 100644
--- a/Eigen/src/SparseLU/SparseLU.h
+++ b/Eigen/src/SparseLU/SparseLU.h
@@ -38,6 +38,7 @@ public:
   SparseLUTransposeView() : APIBase(), m_sparseLU(NULL) {}
   SparseLUTransposeView(const SparseLUTransposeView& view) : APIBase() {
     this->m_sparseLU = view.m_sparseLU;
+    this->m_isInitialized = view.m_isInitialized;
   }
   void setIsInitialized(const bool isInitialized) {this->m_isInitialized = isInitialized;}
   void setSparseLU(SparseLUType* sparseLU) {m_sparseLU = sparseLU;}
diff --git a/Eigen/src/SparseLU/SparseLU_gemm_kernel.h b/Eigen/src/SparseLU/SparseLU_gemm_kernel.h
deleted file mode 100644
index e37c2fe0d..000000000
--- a/Eigen/src/SparseLU/SparseLU_gemm_kernel.h
+++ /dev/null
@@ -1,280 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-#ifndef EIGEN_SPARSELU_GEMM_KERNEL_H
-#define EIGEN_SPARSELU_GEMM_KERNEL_H
-
-namespace Eigen {
-
-namespace internal {
-
-
-/** \internal
-  * A general matrix-matrix product kernel optimized for the SparseLU factorization.
-  *  - A, B, and C must be column major
-  *  - lda and ldc must be multiples of the respective packet size
-  *  - C must have the same alignment as A
-  */
-template<typename Scalar>
-EIGEN_DONT_INLINE
-void sparselu_gemm(Index m, Index n, Index d, const Scalar* A, Index lda, const Scalar* B, Index ldb, Scalar* C, Index ldc)
-{
-  using namespace Eigen::internal;
-  
-  typedef typename packet_traits<Scalar>::type Packet;
-  enum {
-    NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,
-    PacketSize = packet_traits<Scalar>::size,
-    PM = 8,                             // peeling in M
-    RN = 2,                             // register blocking
-    RK = NumberOfRegisters>=16 ? 4 : 2, // register blocking
-    BM = 4096/sizeof(Scalar),           // number of rows of A-C per chunk
-    SM = PM*PacketSize                  // step along M
-  };
-  Index d_end = (d/RK)*RK;    // number of columns of A (rows of B) suitable for full register blocking
-  Index n_end = (n/RN)*RN;    // number of columns of B-C suitable for processing RN columns at once
-  Index i0 = internal::first_default_aligned(A,m);
-  
-  eigen_internal_assert(((lda%PacketSize)==0) && ((ldc%PacketSize)==0) && (i0==internal::first_default_aligned(C,m)));
-  
-  // handle the non aligned rows of A and C without any optimization:
-  for(Index i=0; i<i0; ++i)
-  {
-    for(Index j=0; j<n; ++j)
-    {
-      Scalar c = C[i+j*ldc];
-      for(Index k=0; k<d; ++k)
-        c += B[k+j*ldb] * A[i+k*lda];
-      C[i+j*ldc] = c;
-    }
-  }
-  // process the remaining rows per chunk of BM rows
-  for(Index ib=i0; ib<m; ib+=BM)
-  {
-    Index actual_b = std::min<Index>(BM, m-ib);                 // actual number of rows
-    Index actual_b_end1 = (actual_b/SM)*SM;                   // actual number of rows suitable for peeling
-    Index actual_b_end2 = (actual_b/PacketSize)*PacketSize;   // actual number of rows suitable for vectorization
-    
-    // Let's process two columns of B-C at once
-    for(Index j=0; j<n_end; j+=RN)
-    {
-      const Scalar* Bc0 = B+(j+0)*ldb;
-      const Scalar* Bc1 = B+(j+1)*ldb;
-      
-      for(Index k=0; k<d_end; k+=RK)
-      {
-        
-        // load and expand a RN x RK block of B
-        Packet b00, b10, b20, b30, b01, b11, b21, b31;
-                  { b00 = pset1<Packet>(Bc0[0]); }
-                  { b10 = pset1<Packet>(Bc0[1]); }
-        if(RK==4) { b20 = pset1<Packet>(Bc0[2]); }
-        if(RK==4) { b30 = pset1<Packet>(Bc0[3]); }
-                  { b01 = pset1<Packet>(Bc1[0]); }
-                  { b11 = pset1<Packet>(Bc1[1]); }
-        if(RK==4) { b21 = pset1<Packet>(Bc1[2]); }
-        if(RK==4) { b31 = pset1<Packet>(Bc1[3]); }
-        
-        Packet a0, a1, a2, a3, c0, c1, t0, t1;
-        
-        const Scalar* A0 = A+ib+(k+0)*lda;
-        const Scalar* A1 = A+ib+(k+1)*lda;
-        const Scalar* A2 = A+ib+(k+2)*lda;
-        const Scalar* A3 = A+ib+(k+3)*lda;
-        
-        Scalar* C0 = C+ib+(j+0)*ldc;
-        Scalar* C1 = C+ib+(j+1)*ldc;
-        
-                  a0 = pload<Packet>(A0);
-                  a1 = pload<Packet>(A1);
-        if(RK==4)
-        {
-          a2 = pload<Packet>(A2);
-          a3 = pload<Packet>(A3);
-        }
-        else
-        {
-          // workaround "may be used uninitialized in this function" warning
-          a2 = a3 = a0;
-        }
-        
-#define KMADD(c, a, b, tmp) {tmp = b; tmp = pmul(a,tmp); c = padd(c,tmp);}
-#define WORK(I)  \
-                     c0 = pload<Packet>(C0+i+(I)*PacketSize);    \
-                     c1 = pload<Packet>(C1+i+(I)*PacketSize);    \
-                     KMADD(c0, a0, b00, t0)                      \
-                     KMADD(c1, a0, b01, t1)                      \
-                     a0 = pload<Packet>(A0+i+(I+1)*PacketSize);  \
-                     KMADD(c0, a1, b10, t0)                      \
-                     KMADD(c1, a1, b11, t1)                      \
-                     a1 = pload<Packet>(A1+i+(I+1)*PacketSize);  \
-          if(RK==4){ KMADD(c0, a2, b20, t0)                     }\
-          if(RK==4){ KMADD(c1, a2, b21, t1)                     }\
-          if(RK==4){ a2 = pload<Packet>(A2+i+(I+1)*PacketSize); }\
-          if(RK==4){ KMADD(c0, a3, b30, t0)                     }\
-          if(RK==4){ KMADD(c1, a3, b31, t1)                     }\
-          if(RK==4){ a3 = pload<Packet>(A3+i+(I+1)*PacketSize); }\
-                     pstore(C0+i+(I)*PacketSize, c0);            \
-                     pstore(C1+i+(I)*PacketSize, c1)
-        
-        // process rows of A' - C' with aggressive vectorization and peeling 
-        for(Index i=0; i<actual_b_end1; i+=PacketSize*8)
-        {
-          EIGEN_ASM_COMMENT("SPARSELU_GEMML_KERNEL1");
-                    prefetch((A0+i+(5)*PacketSize));
-                    prefetch((A1+i+(5)*PacketSize));
-          if(RK==4) prefetch((A2+i+(5)*PacketSize));
-          if(RK==4) prefetch((A3+i+(5)*PacketSize));
-
-          WORK(0);
-          WORK(1);
-          WORK(2);
-          WORK(3);
-          WORK(4);
-          WORK(5);
-          WORK(6);
-          WORK(7);
-        }
-        // process the remaining rows with vectorization only
-        for(Index i=actual_b_end1; i<actual_b_end2; i+=PacketSize)
-        {
-          WORK(0);
-        }
-#undef WORK
-        // process the remaining rows without vectorization
-        for(Index i=actual_b_end2; i<actual_b; ++i)
-        {
-          if(RK==4)
-          {
-            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
-            C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1]+A2[i]*Bc1[2]+A3[i]*Bc1[3];
-          }
-          else
-          {
-            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1];
-            C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1];
-          }
-        }
-        
-        Bc0 += RK;
-        Bc1 += RK;
-      } // peeled loop on k
-    } // peeled loop on the columns j
-    // process the last column (we now perform a matrix-vector product)
-    if((n-n_end)>0)
-    {
-      const Scalar* Bc0 = B+(n-1)*ldb;
-      
-      for(Index k=0; k<d_end; k+=RK)
-      {
-        
-        // load and expand a 1 x RK block of B
-        Packet b00, b10, b20, b30;
-                  b00 = pset1<Packet>(Bc0[0]);
-                  b10 = pset1<Packet>(Bc0[1]);
-        if(RK==4) b20 = pset1<Packet>(Bc0[2]);
-        if(RK==4) b30 = pset1<Packet>(Bc0[3]);
-        
-        Packet a0, a1, a2, a3, c0, t0/*, t1*/;
-        
-        const Scalar* A0 = A+ib+(k+0)*lda;
-        const Scalar* A1 = A+ib+(k+1)*lda;
-        const Scalar* A2 = A+ib+(k+2)*lda;
-        const Scalar* A3 = A+ib+(k+3)*lda;
-        
-        Scalar* C0 = C+ib+(n_end)*ldc;
-        
-                  a0 = pload<Packet>(A0);
-                  a1 = pload<Packet>(A1);
-        if(RK==4)
-        {
-          a2 = pload<Packet>(A2);
-          a3 = pload<Packet>(A3);
-        }
-        else
-        {
-          // workaround "may be used uninitialized in this function" warning
-          a2 = a3 = a0;
-        }
-        
-#define WORK(I) \
-                   c0 = pload<Packet>(C0+i+(I)*PacketSize);     \
-                   KMADD(c0, a0, b00, t0)                       \
-                   a0 = pload<Packet>(A0+i+(I+1)*PacketSize);   \
-                   KMADD(c0, a1, b10, t0)                       \
-                   a1 = pload<Packet>(A1+i+(I+1)*PacketSize);   \
-        if(RK==4){ KMADD(c0, a2, b20, t0)                      }\
-        if(RK==4){ a2 = pload<Packet>(A2+i+(I+1)*PacketSize);  }\
-        if(RK==4){ KMADD(c0, a3, b30, t0)                      }\
-        if(RK==4){ a3 = pload<Packet>(A3+i+(I+1)*PacketSize);  }\
-                   pstore(C0+i+(I)*PacketSize, c0);
-        
-        // aggressive vectorization and peeling
-        for(Index i=0; i<actual_b_end1; i+=PacketSize*8)
-        {
-          EIGEN_ASM_COMMENT("SPARSELU_GEMML_KERNEL2");
-          WORK(0);
-          WORK(1);
-          WORK(2);
-          WORK(3);
-          WORK(4);
-          WORK(5);
-          WORK(6);
-          WORK(7);
-        }
-        // vectorization only
-        for(Index i=actual_b_end1; i<actual_b_end2; i+=PacketSize)
-        {
-          WORK(0);
-        }
-        // remaining scalars
-        for(Index i=actual_b_end2; i<actual_b; ++i)
-        {
-          if(RK==4) 
-            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
-          else
-            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1];
-        }
-        
-        Bc0 += RK;
-#undef WORK
-      }
-    }
-    
-    // process the last columns of A, corresponding to the last rows of B
-    Index rd = d-d_end;
-    if(rd>0)
-    {
-      for(Index j=0; j<n; ++j)
-      {
-        enum {
-          Alignment = PacketSize>1 ? Aligned : 0
-        };
-        typedef Map<Matrix<Scalar,Dynamic,1>, Alignment > MapVector;
-        typedef Map<const Matrix<Scalar,Dynamic,1>, Alignment > ConstMapVector;
-        if(rd==1)       MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b);
-        
-        else if(rd==2)  MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b)
-                                                        + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b);
-        
-        else            MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b)
-                                                        + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b)
-                                                        + B[2+d_end+j*ldb] * ConstMapVector(A+(d_end+2)*lda+ib, actual_b);
-      }
-    }
-  
-  } // blocking on the rows of A and C
-}
-#undef KMADD
-
-} // namespace internal
-
-} // namespace Eigen
-
-#endif // EIGEN_SPARSELU_GEMM_KERNEL_H
diff --git a/Eigen/src/SparseLU/SparseLU_kernel_bmod.h b/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
index 8c1b3e8bc..7a101ea0c 100644
--- a/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
+++ b/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
@@ -69,8 +69,7 @@ EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index seg
   Index aligned_with_B_offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize))%PacketSize;
   Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
   
-  l.setZero();
-  internal::sparselu_gemm<Scalar>(l.rows(), l.cols(), B.cols(), B.data(), B.outerStride(), u.data(), u.outerStride(), l.data(), l.outerStride());
+  l.noalias() = B * u;
   
   // Scatter tempv[] into SPA dense[] as a temporary storage 
   isub = lptr + no_zeros;
diff --git a/Eigen/src/SparseLU/SparseLU_panel_bmod.h b/Eigen/src/SparseLU/SparseLU_panel_bmod.h
index f052001c8..92cdb0e45 100644
--- a/Eigen/src/SparseLU/SparseLU_panel_bmod.h
+++ b/Eigen/src/SparseLU/SparseLU_panel_bmod.h
@@ -148,8 +148,7 @@ void SparseLUImpl<Scalar,StorageIndex>::panel_bmod(const Index m, const Index w,
       Index offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize)) % PacketSize;
       MappedMatrixBlock L(tempv.data()+w*ldu+offset, nrow, u_cols, OuterStride<>(ldl));
       
-      L.setZero();
-      internal::sparselu_gemm<Scalar>(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride());
+      L.noalias() = B * U;
       
       // scatter U and L
       u_col = 0;