diff --git a/mlir/include/mlir/Dialect/Linalg/EDSC/Intrinsics.h b/mlir/include/mlir/Dialect/Linalg/EDSC/Intrinsics.h
--- a/mlir/include/mlir/Dialect/Linalg/EDSC/Intrinsics.h
+++ b/mlir/include/mlir/Dialect/Linalg/EDSC/Intrinsics.h
@@ -20,6 +20,7 @@
 using linalg_fill = OperationBuilder<linalg::FillOp>;
 using linalg_matmul = OperationBuilder<linalg::MatmulOp>;
 using linalg_matvec = OperationBuilder<linalg::MatvecOp>;
+using linalg_vecmat = OperationBuilder<linalg::VecmatOp>;
 using linalg_range = ValueBuilder<linalg::RangeOp>;
 using linalg_reshape = ValueBuilder<linalg::ReshapeOp>;
 using linalg_slice = ValueBuilder<linalg::SliceOp>;
diff --git a/mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOpsSpec.tc b/mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOpsSpec.tc
--- a/mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOpsSpec.tc
+++ b/mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOpsSpec.tc
@@ -8,6 +8,11 @@
   x(m) = std_addf<n>(std_mulf(A(m, n), y(n)));
 }
 
+ods_def<VecmatOp>:
+def vecmat(y: f32(M), A: f32(M, N)) -> (x: f32(N)) {
+  x(n) = std_addf<m>(std_mulf(y(m), A(m, n)));
+}
+
 ods_def<DotOp>:
 def dot(A: f32(M), B: f32(M)) -> (C: f32()) {
   C() = std_addf<m>(std_mulf(A(m), B(m)));
@@ -66,4 +71,4 @@
 def conv_3d_ncdhw(I: f32(N, C, D, H, W), K: f32(F, C, KD, KH, KW)) -> (O: f32(N, F, D, H, W)) {
   O(n, f, d, h, w) = std_addf<kd, kh, kw>(std_mulf(
     I(n, c, d + kd, h + kh, w + kw), K(f, c, kd, kh, kw)));
-}
\ No newline at end of file
+}
diff --git a/mlir/lib/Conversion/LinalgToStandard/LinalgToStandard.cpp b/mlir/lib/Conversion/LinalgToStandard/LinalgToStandard.cpp
--- a/mlir/lib/Conversion/LinalgToStandard/LinalgToStandard.cpp
+++ b/mlir/lib/Conversion/LinalgToStandard/LinalgToStandard.cpp
@@ -244,6 +244,7 @@
       LinalgOpConversion<DotOp>,
       LinalgOpConversion<BatchMatmulOp>,
       LinalgOpConversion<MatvecOp>,
+      LinalgOpConversion<VecmatOp>,
       LinalgOpConversion<MatmulOp>,
       LinalgOpConversion<ConvWOp>,
       LinalgOpConversion<ConvNWCOp>,
diff --git a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
--- a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
+++ b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
@@ -1350,6 +1350,7 @@
 CANONICALIZERS_AND_FOLDERS(DotOp)
 CANONICALIZERS_AND_FOLDERS(MatmulOp)
 CANONICALIZERS_AND_FOLDERS(MatvecOp)
+CANONICALIZERS_AND_FOLDERS(VecmatOp)
 CANONICALIZERS_AND_FOLDERS(ConvWOp)
 CANONICALIZERS_AND_FOLDERS(ConvNWCOp)
 CANONICALIZERS_AND_FOLDERS(ConvNCWOp)
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Loops.cpp b/mlir/lib/Dialect/Linalg/Transforms/Loops.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/Loops.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Loops.cpp
@@ -679,6 +679,8 @@
     return linalgOpToLoopsImpl<LoopTy, MatmulOp>(op, builder);
   if (isa<MatvecOp>(op))
     return linalgOpToLoopsImpl<LoopTy, MatvecOp>(op, builder);
+  if (isa<VecmatOp>(op))
+    return linalgOpToLoopsImpl<LoopTy, VecmatOp>(op, builder);
   if (isa<DotOp>(op))
     return linalgOpToLoopsImpl<LoopTy, DotOp>(op, builder);
   if (isa<BatchMatmulOp>(op))
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
@@ -69,7 +69,7 @@
 static LogicalResult isContraction(Operation *op) {
   // TODO: interface for named ops.
   if (isa<linalg::BatchMatmulOp, linalg::MatmulOp, linalg::MatvecOp,
-          linalg::DotOp>(op))
+          linalg::VecmatOp, linalg::DotOp>(op))
     return success();
 
   auto genericOp = dyn_cast<linalg::GenericOp>(op);
diff --git a/mlir/test/lib/Transforms/TestLinalgTransforms.cpp b/mlir/test/lib/Transforms/TestLinalgTransforms.cpp
--- a/mlir/test/lib/Transforms/TestLinalgTransforms.cpp
+++ b/mlir/test/lib/Transforms/TestLinalgTransforms.cpp
@@ -449,6 +449,7 @@
   patterns.insert<LinalgVectorizationPattern<BatchMatmulOp>,
                   LinalgVectorizationPattern<MatmulOp>,
                   LinalgVectorizationPattern<MatvecOp>,
+                  LinalgVectorizationPattern<VecmatOp>,
                   LinalgVectorizationPattern<DotOp>,
                   LinalgVectorizationPattern<GenericOp>>(funcOp.getContext());
   applyPatternsAndFoldGreedily(funcOp, patterns);