diff --git a/gcc/doc/invoke.texi b/gcc/doc/invoke.texi
index 06a04e3d7dd..284c15705ea 100644
--- a/gcc/doc/invoke.texi
+++ b/gcc/doc/invoke.texi
@@ -13389,6 +13389,13 @@ by the copy loop headers pass.
 @item vect-epilogues-nomask
 Enable loop epilogue vectorization using smaller vector size.
 
+@item vect-with-length-scope
+Control the scope of vector memory access with length exploitation.  0 means we
+don't expliot any vector memory access with length, 1 means we only exploit
+vector memory access with length for those loops whose iteration number are
+less than VF, such as very small loop or epilogue, 2 means we want to exploit
+vector memory access with length for any loops if possible.
+
 @item slp-max-insns-in-bb
 Maximum number of instructions in basic block to be
 considered for SLP vectorization.
diff --git a/gcc/params.opt b/gcc/params.opt
index 9b564bb046c..daa6e8a2beb 100644
--- a/gcc/params.opt
+++ b/gcc/params.opt
@@ -968,4 +968,8 @@ Bound on number of runtime checks inserted by the vectorizer's loop versioning f
 Common Joined UInteger Var(param_vect_max_version_for_alignment_checks) Init(6) Param Optimization
 Bound on number of runtime checks inserted by the vectorizer's loop versioning for alignment check.
 
+-param=vect-with-length-scope=
+Common Joined UInteger Var(param_vect_with_length_scope) Init(0) IntegerRange(0, 2) Param Optimization
+Control the vector with length exploitation scope.
+
 ; This comment is to ensure we retain the blank line above.
diff --git a/gcc/tree-vect-loop-manip.c b/gcc/tree-vect-loop-manip.c
index 458a6675c47..bc88dde7079 100644
--- a/gcc/tree-vect-loop-manip.c
+++ b/gcc/tree-vect-loop-manip.c
@@ -399,19 +399,20 @@ vect_maybe_permute_loop_masks (gimple_seq *seq, rgroup_controls *dest_rgm,
 
    It is known that:
 
-     NITERS * RGC->max_nscalars_per_iter
+     NITERS * RGC->max_nscalars_per_iter * RGC->factor
 
    does not overflow.  However, MIGHT_WRAP_P says whether an induction
    variable that starts at 0 and has step:
 
-     VF * RGC->max_nscalars_per_iter
+     VF * RGC->max_nscalars_per_iter * RGC->factor
 
    might overflow before hitting a value above:
 
-     (NITERS + NITERS_SKIP) * RGC->max_nscalars_per_iter
+     (NITERS + NITERS_SKIP) * RGC->max_nscalars_per_iter * RGC->factor
 
    This means that we cannot guarantee that such an induction variable
-   would ever hit a value that produces a set of all-false masks for RGC.  */
+   would ever hit a value that produces a set of all-false masks or zero
+   lengths for RGC.  */
 
 static tree
 vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
@@ -422,10 +423,20 @@ vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
 {
   tree compare_type = LOOP_VINFO_RGROUP_COMPARE_TYPE (loop_vinfo);
   tree iv_type = LOOP_VINFO_RGROUP_IV_TYPE (loop_vinfo);
+  bool vect_for_masking = LOOP_VINFO_FULLY_MASKED_P (loop_vinfo);
+
   tree ctrl_type = rgc->type;
-  unsigned int nscalars_per_iter = rgc->max_nscalars_per_iter;
+  /* Scale up nscalars per iteration with factor.  */
+  unsigned int nscalars_per_iter_ft = rgc->max_nscalars_per_iter * rgc->factor;
   poly_uint64 nscalars_per_ctrl = TYPE_VECTOR_SUBPARTS (ctrl_type);
   poly_uint64 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
+  tree length_limit = NULL_TREE;
+  /* For length, we probably need length_limit to check length in range.  */
+  if (!vect_for_masking)
+    {
+      poly_uint64 len_limit = nscalars_per_ctrl * rgc->factor;
+      length_limit = build_int_cst (compare_type, len_limit);
+    }
 
   /* Calculate the maximum number of scalar values that the rgroup
      handles in total, the number that it handles for each iteration
@@ -434,12 +445,12 @@ vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
   tree nscalars_total = niters;
   tree nscalars_step = build_int_cst (iv_type, vf);
   tree nscalars_skip = niters_skip;
-  if (nscalars_per_iter != 1)
+  if (nscalars_per_iter_ft != 1)
     {
       /* We checked before setting LOOP_VINFO_USING_PARTIAL_VECTORS_P that
 	 these multiplications don't overflow.  */
-      tree compare_factor = build_int_cst (compare_type, nscalars_per_iter);
-      tree iv_factor = build_int_cst (iv_type, nscalars_per_iter);
+      tree compare_factor = build_int_cst (compare_type, nscalars_per_iter_ft);
+      tree iv_factor = build_int_cst (iv_type, nscalars_per_iter_ft);
       nscalars_total = gimple_build (preheader_seq, MULT_EXPR, compare_type,
 				     nscalars_total, compare_factor);
       nscalars_step = gimple_build (preheader_seq, MULT_EXPR, iv_type,
@@ -509,7 +520,7 @@ vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
 	     NSCALARS_SKIP to that cannot overflow.  */
 	  tree const_limit = build_int_cst (compare_type,
 					    LOOP_VINFO_VECT_FACTOR (loop_vinfo)
-					    * nscalars_per_iter);
+					    * nscalars_per_iter_ft);
 	  first_limit = gimple_build (preheader_seq, MIN_EXPR, compare_type,
 				      nscalars_total, const_limit);
 	  first_limit = gimple_build (preheader_seq, PLUS_EXPR, compare_type,
@@ -549,16 +560,16 @@ vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
     {
       /* Previous controls will cover BIAS scalars.  This control covers the
 	 next batch.  */
-      poly_uint64 bias = nscalars_per_ctrl * i;
+      poly_uint64 batch_nscalars_ft = nscalars_per_ctrl * rgc->factor;
+      poly_uint64 bias = batch_nscalars_ft * i;
       tree bias_tree = build_int_cst (compare_type, bias);
-      gimple *tmp_stmt;
 
       /* See whether the first iteration of the vector loop is known
 	 to have a full control.  */
       poly_uint64 const_limit;
       bool first_iteration_full
 	= (poly_int_tree_p (first_limit, &const_limit)
-	   && known_ge (const_limit, (i + 1) * nscalars_per_ctrl));
+	   && known_ge (const_limit, (i + 1) * batch_nscalars_ft));
 
       /* Rather than have a new IV that starts at BIAS and goes up to
 	 TEST_LIMIT, prefer to use the same 0-based IV for each control
@@ -598,9 +609,19 @@ vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
 	      end = first_limit;
 	    }
 
-	  init_ctrl = make_temp_ssa_name (ctrl_type, NULL, "max_mask");
-	  tmp_stmt = vect_gen_while (init_ctrl, start, end);
-	  gimple_seq_add_stmt (preheader_seq, tmp_stmt);
+	  if (vect_for_masking)
+	    {
+	      init_ctrl = make_temp_ssa_name (ctrl_type, NULL, "max_mask");
+	      gimple *tmp_stmt = vect_gen_while (init_ctrl, start, end);
+	      gimple_seq_add_stmt (preheader_seq, tmp_stmt);
+	    }
+	  else
+	    {
+	      init_ctrl = make_temp_ssa_name (compare_type, NULL, "max_len");
+	      gimple_seq seq = vect_gen_len (init_ctrl, start,
+					     end, length_limit);
+	      gimple_seq_add_seq (preheader_seq, seq);
+	    }
 	}
 
       /* Now AND out the bits that are within the number of skipped
@@ -617,16 +638,32 @@ vect_set_loop_controls_directly (class loop *loop, loop_vec_info loop_vinfo,
 				      init_ctrl, unskipped_mask);
 	  else
 	    init_ctrl = unskipped_mask;
+	  gcc_assert (vect_for_masking);
 	}
 
+      /* First iteration is full.  */
       if (!init_ctrl)
-	/* First iteration is full.  */
-	init_ctrl = build_minus_one_cst (ctrl_type);
+	{
+	  if (vect_for_masking)
+	    init_ctrl = build_minus_one_cst (ctrl_type);
+	  else
+	    init_ctrl = length_limit;
+	}
 
       /* Get the control value for the next iteration of the loop.  */
-      next_ctrl = make_temp_ssa_name (ctrl_type, NULL, "next_mask");
-      gcall *call = vect_gen_while (next_ctrl, test_index, this_test_limit);
-      gsi_insert_before (test_gsi, call, GSI_SAME_STMT);
+      if (vect_for_masking)
+	{
+	  next_ctrl = make_temp_ssa_name (ctrl_type, NULL, "next_mask");
+	  gcall *call = vect_gen_while (next_ctrl, test_index, this_test_limit);
+	  gsi_insert_before (test_gsi, call, GSI_SAME_STMT);
+	}
+      else
+	{
+	  next_ctrl = make_temp_ssa_name (compare_type, NULL, "next_len");
+	  gimple_seq seq = vect_gen_len (next_ctrl, test_index, this_test_limit,
+					 length_limit);
+	  gsi_insert_seq_before (test_gsi, seq, GSI_SAME_STMT);
+	}
 
       vect_set_loop_control (loop, ctrl, init_ctrl, next_ctrl);
     }
@@ -652,6 +689,7 @@ vect_set_loop_condition_partial_vectors (class loop *loop,
   gimple_seq preheader_seq = NULL;
   gimple_seq header_seq = NULL;
 
+  bool vect_for_masking = LOOP_VINFO_FULLY_MASKED_P (loop_vinfo);
   tree compare_type = LOOP_VINFO_RGROUP_COMPARE_TYPE (loop_vinfo);
   unsigned int compare_precision = TYPE_PRECISION (compare_type);
   tree orig_niters = niters;
@@ -686,28 +724,30 @@ vect_set_loop_condition_partial_vectors (class loop *loop,
   tree test_ctrl = NULL_TREE;
   rgroup_controls *rgc;
   unsigned int i;
-  vec_loop_masks *masks = &LOOP_VINFO_MASKS (loop_vinfo);
-  FOR_EACH_VEC_ELT (*masks, i, rgc)
+  auto_vec<rgroup_controls> *controls = vect_for_masking
+					  ? &LOOP_VINFO_MASKS (loop_vinfo)
+					  : &LOOP_VINFO_LENS (loop_vinfo);
+  FOR_EACH_VEC_ELT (*controls, i, rgc)
     if (!rgc->controls.is_empty ())
       {
 	/* First try using permutes.  This adds a single vector
 	   instruction to the loop for each mask, but needs no extra
 	   loop invariants or IVs.  */
 	unsigned int nmasks = i + 1;
-	if ((nmasks & 1) == 0)
+	if (vect_for_masking && (nmasks & 1) == 0)
 	  {
-	    rgroup_controls *half_rgc = &(*masks)[nmasks / 2 - 1];
+	    rgroup_controls *half_rgc = &(*controls)[nmasks / 2 - 1];
 	    if (!half_rgc->controls.is_empty ()
 		&& vect_maybe_permute_loop_masks (&header_seq, rgc, half_rgc))
 	      continue;
 	  }
 
 	/* See whether zero-based IV would ever generate all-false masks
-	   before wrapping around.  */
+	   or zero length before wrapping around.  */
+	unsigned nscalars_ft = rgc->max_nscalars_per_iter * rgc->factor;
 	bool might_wrap_p
 	  = (iv_limit == -1
-	     || (wi::min_precision (iv_limit * rgc->max_nscalars_per_iter,
-				    UNSIGNED)
+	     || (wi::min_precision (iv_limit * nscalars_ft, UNSIGNED)
 		 > compare_precision));
 
 	/* Set up all controls for this group.  */
@@ -2568,7 +2608,8 @@ vect_do_peeling (loop_vec_info loop_vinfo, tree niters, tree nitersm1,
   if (vect_epilogues
       && LOOP_VINFO_NITERS_KNOWN_P (loop_vinfo)
       && prolog_peeling >= 0
-      && known_eq (vf, lowest_vf))
+      && known_eq (vf, lowest_vf)
+      && !LOOP_VINFO_USING_PARTIAL_VECTORS_P (epilogue_vinfo))
     {
       unsigned HOST_WIDE_INT eiters
 	= (LOOP_VINFO_INT_NITERS (loop_vinfo)
diff --git a/gcc/tree-vect-loop.c b/gcc/tree-vect-loop.c
index 6311e795204..58b1860b8a5 100644
--- a/gcc/tree-vect-loop.c
+++ b/gcc/tree-vect-loop.c
@@ -816,6 +816,7 @@ _loop_vec_info::_loop_vec_info (class loop *loop_in, vec_info_shared *shared)
     vectorizable (false),
     can_use_partial_vectors_p (true),
     using_partial_vectors_p (false),
+    epil_using_partial_vectors_p (false),
     peeling_for_gaps (false),
     peeling_for_niter (false),
     no_data_dependencies (false),
@@ -898,6 +899,7 @@ _loop_vec_info::~_loop_vec_info ()
   free (bbs);
 
   release_vec_loop_controls (&masks);
+  release_vec_loop_controls (&lens);
   delete ivexpr_map;
   delete scan_map;
   epilogue_vinfos.release ();
@@ -1072,6 +1074,88 @@ vect_verify_full_masking (loop_vec_info loop_vinfo)
   return true;
 }
 
+/* Check whether we can use vector access with length based on precison
+   comparison.  So far, to keep it simple, we only allow the case that the
+   precision of the target supported length is larger than the precision
+   required by loop niters.  */
+
+static bool
+vect_verify_loop_lens (loop_vec_info loop_vinfo)
+{
+  vec_loop_lens *lens = &LOOP_VINFO_LENS (loop_vinfo);
+
+  if (LOOP_VINFO_LENS (loop_vinfo).is_empty ())
+    return false;
+
+  /* The one which has the largest NV should have max bytes per iter.  */
+  rgroup_controls *rgl = &(*lens)[lens->length () - 1];
+
+  /* Work out how many bits we need to represent the length limit.  */
+  unsigned int nscalars_per_iter_ft = rgl->max_nscalars_per_iter * rgl->factor;
+  unsigned int min_ni_prec
+    = vect_min_prec_for_max_niters (loop_vinfo, nscalars_per_iter_ft);
+
+  /* Now use the maximum of below precisions for one suitable IV type:
+     - the IV's natural precision
+     - the precision needed to hold: the maximum number of scalar
+       iterations multiplied by the scale factor (min_ni_prec above)
+     - the Pmode precision
+  */
+
+  /* If min_ni_width is less than the precision of the current niters,
+     we perfer to still use the niters type.  */
+  unsigned int ni_prec
+    = TYPE_PRECISION (TREE_TYPE (LOOP_VINFO_NITERS (loop_vinfo)));
+  /* Prefer to use Pmode and wider IV to avoid narrow conversions.  */
+  unsigned int pmode_prec = GET_MODE_BITSIZE (Pmode);
+
+  unsigned int required_prec = ni_prec;
+  if (required_prec < pmode_prec)
+    required_prec = pmode_prec;
+
+  tree iv_type = NULL_TREE;
+  if (min_ni_prec > required_prec)
+    {
+      opt_scalar_int_mode tmode_iter;
+      unsigned standard_bits = 0;
+      FOR_EACH_MODE_IN_CLASS (tmode_iter, MODE_INT)
+      {
+	scalar_mode tmode = tmode_iter.require ();
+	unsigned int tbits = GET_MODE_BITSIZE (tmode);
+
+	/* ??? Do we really want to construct one IV whose precision exceeds
+	   BITS_PER_WORD?  */
+	if (tbits > BITS_PER_WORD)
+	  break;
+
+	/* Find the first available standard integral type.  */
+	if (tbits >= min_ni_prec && targetm.scalar_mode_supported_p (tmode))
+	  {
+	    standard_bits = tbits;
+	    break;
+	  }
+      }
+      if (standard_bits != 0)
+	iv_type = build_nonstandard_integer_type (standard_bits, true);
+    }
+  else
+    iv_type = build_nonstandard_integer_type (required_prec, true);
+
+  if (!iv_type)
+    {
+      if (dump_enabled_p ())
+	dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
+			 "can't vectorize with length-based partial vectors"
+			 " due to no suitable iv type.\n");
+      return false;
+    }
+
+  LOOP_VINFO_RGROUP_COMPARE_TYPE (loop_vinfo) = iv_type;
+  LOOP_VINFO_RGROUP_IV_TYPE (loop_vinfo) = iv_type;
+
+  return true;
+}
+
 /* Calculate the cost of one scalar iteration of the loop.  */
 static void
 vect_compute_single_scalar_iteration_cost (loop_vec_info loop_vinfo)
@@ -2170,11 +2254,64 @@ start_over:
       return ok;
     }
 
-  /* Decide whether to use a fully-masked loop for this vectorization
-     factor.  */
-  LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo)
-    = (LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo)
-       && vect_verify_full_masking (loop_vinfo));
+  /* For now, we don't expect to mix both masking and length approaches for one
+     loop, disable it if both are recorded.  */
+  if (LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo)
+      && !LOOP_VINFO_MASKS (loop_vinfo).is_empty ()
+      && !LOOP_VINFO_LENS (loop_vinfo).is_empty ())
+    {
+      if (dump_enabled_p ())
+	dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
+			 "can't vectorize a loop with partial vectors"
+			 " because we don't expect to mix different"
+			 " approaches with partial vectors for the"
+			 " same loop.\n");
+      LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo) = false;
+    }
+
+  /* Decide whether to vectorize a loop with partial vectors for
+     this vectorization factor.  */
+  if (LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo))
+    {
+      /* Decide whether to use fully-masked approach.  */
+      if (vect_verify_full_masking (loop_vinfo))
+	LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = true;
+      /* Decide whether to use length-based approach.  */
+      else if (vect_verify_loop_lens (loop_vinfo))
+	{
+	  if (LOOP_VINFO_PEELING_FOR_GAPS (loop_vinfo)
+	      || LOOP_VINFO_PEELING_FOR_ALIGNMENT (loop_vinfo))
+	    {
+	      if (dump_enabled_p ())
+		dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
+				 "can't vectorize this loop with length-based"
+				 " partial vectors approach becuase peeling"
+				 " for alignment or gaps is required.\n");
+	      LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = false;
+	    }
+	  else if (param_vect_with_length_scope == 0)
+	    LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = false;
+	  /* The epilogue and other known niters less than VF
+	    cases can still use vector access with length fully.  */
+	  else if (param_vect_with_length_scope == 1
+		   && !LOOP_VINFO_EPILOGUE_P (loop_vinfo)
+		   && !vect_known_niters_smaller_than_vf (loop_vinfo))
+	    {
+	      LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = false;
+	      LOOP_VINFO_EPIL_USING_PARTIAL_VECTORS_P (loop_vinfo) = true;
+	    }
+	  else
+	    {
+	      LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = true;
+	      LOOP_VINFO_EPIL_USING_PARTIAL_VECTORS_P (loop_vinfo) = false;
+	    }
+	}
+      else
+	LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = false;
+    }
+  else
+    LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo) = false;
+
   if (dump_enabled_p ())
     {
       if (LOOP_VINFO_FULLY_MASKED_P (loop_vinfo))
@@ -2183,6 +2320,15 @@ start_over:
       else
 	dump_printf_loc (MSG_NOTE, vect_location,
 			 "not using a fully-masked loop.\n");
+
+      if (LOOP_VINFO_FULLY_WITH_LENGTH_P (loop_vinfo))
+	dump_printf_loc (MSG_NOTE, vect_location,
+			 "using length-based partial"
+			 " vectors for loop fully.\n");
+      else
+	dump_printf_loc (MSG_NOTE, vect_location,
+			 "not using length-based partial"
+			 " vectors for loop fully.\n");
     }
 
   /* If epilog loop is required because of data accesses with gaps,
@@ -2406,6 +2552,7 @@ again:
     = init_cost (LOOP_VINFO_LOOP (loop_vinfo));
   /* Reset accumulated rgroup information.  */
   release_vec_loop_controls (&LOOP_VINFO_MASKS (loop_vinfo));
+  release_vec_loop_controls (&LOOP_VINFO_LENS (loop_vinfo));
   /* Reset assorted flags.  */
   LOOP_VINFO_PEELING_FOR_NITER (loop_vinfo) = false;
   LOOP_VINFO_PEELING_FOR_GAPS (loop_vinfo) = false;
@@ -2692,7 +2839,10 @@ vect_analyze_loop (class loop *loop, vec_info_shared *shared)
 		lowest_th = ordered_min (lowest_th, th);
 	    }
 	  else
-	    delete loop_vinfo;
+	    {
+	      delete loop_vinfo;
+	      loop_vinfo = opt_loop_vec_info::success (NULL);
+	    }
 
 	  /* Only vectorize epilogues if PARAM_VECT_EPILOGUES_NOMASK is
 	     enabled, SIMDUID is not set, it is the innermost loop and we have
@@ -2717,6 +2867,7 @@ vect_analyze_loop (class loop *loop, vec_info_shared *shared)
       else
 	{
 	  delete loop_vinfo;
+	  loop_vinfo = opt_loop_vec_info::success (NULL);
 	  if (fatal)
 	    {
 	      gcc_checking_assert (first_loop_vinfo == NULL);
@@ -2724,6 +2875,23 @@ vect_analyze_loop (class loop *loop, vec_info_shared *shared)
 	    }
 	}
 
+      /* Handle the case that the original loop can use partial
+	 vectorization, but want to only adopt it for the epilogue.
+	 The retry should be in the same mode as original.  */
+      if (vect_epilogues
+	  && loop_vinfo
+	  && LOOP_VINFO_EPIL_USING_PARTIAL_VECTORS_P (loop_vinfo))
+	{
+	  gcc_assert (LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo)
+		      && !LOOP_VINFO_USING_PARTIAL_VECTORS_P (loop_vinfo));
+	  if (dump_enabled_p ())
+	    dump_printf_loc (MSG_NOTE, vect_location,
+			     "***** Re-trying analysis with same vector mode"
+			     " %s for epilogue with partial vectors.\n",
+			     GET_MODE_NAME (loop_vinfo->vector_mode));
+	  continue;
+	}
+
       if (mode_i < vector_modes.length ()
 	  && VECTOR_MODE_P (autodetected_vector_mode)
 	  && (related_vector_mode (vector_modes[mode_i],
@@ -3564,6 +3732,11 @@ vect_estimate_min_profitable_iters (loop_vec_info loop_vinfo,
 			    target_cost_data, num_masks - 1, vector_stmt,
 			    NULL, NULL_TREE, 0, vect_body);
     }
+  else if (LOOP_VINFO_FULLY_WITH_LENGTH_P (loop_vinfo))
+    {
+      peel_iters_prologue = 0;
+      peel_iters_epilogue = 0;
+    }
   else if (npeel < 0)
     {
       peel_iters_prologue = assumed_vf / 2;
@@ -8197,6 +8370,7 @@ vect_record_loop_mask (loop_vec_info loop_vinfo, vec_loop_masks *masks,
     {
       rgm->max_nscalars_per_iter = nscalars_per_iter;
       rgm->type = truth_type_for (vectype);
+      rgm->factor = 1;
     }
 }
 
@@ -8249,6 +8423,64 @@ vect_get_loop_mask (gimple_stmt_iterator *gsi, vec_loop_masks *masks,
   return mask;
 }
 
+/* Record that LOOP_VINFO would need LENS to contain a sequence of NVECTORS
+   lengths for vector access with length that each control a vector of type
+   VECTYPE.  */
+
+void
+vect_record_loop_len (loop_vec_info loop_vinfo, vec_loop_lens *lens,
+		      unsigned int nvectors, tree vectype)
+{
+  gcc_assert (nvectors != 0);
+  if (lens->length () < nvectors)
+    lens->safe_grow_cleared (nvectors);
+  rgroup_controls *rgl = &(*lens)[nvectors - 1];
+
+  /* The number of scalars per iteration, scalar occupied bytes and
+     the number of vectors are both compile-time constants.  */
+  unsigned int nscalars_per_iter
+    = exact_div (nvectors * TYPE_VECTOR_SUBPARTS (vectype),
+		 LOOP_VINFO_VECT_FACTOR (loop_vinfo)).to_constant ();
+
+  if (rgl->max_nscalars_per_iter < nscalars_per_iter)
+    {
+      rgl->max_nscalars_per_iter = nscalars_per_iter;
+      rgl->type = vectype;
+      /* For now, the length-based is for length in bytes.
+	 FIXME if length-based supports more eg: length in scalar counts.  */
+      rgl->factor = int_cst_value (TYPE_SIZE_UNIT (TREE_TYPE (vectype)));
+    }
+}
+
+/* Given a complete set of length LENS, extract length number INDEX for an
+   rgroup that operates on NVECTORS vectors, where 0 <= INDEX < NVECTORS.  */
+
+tree
+vect_get_loop_len (loop_vec_info loop_vinfo, vec_loop_lens *lens,
+		   unsigned int nvectors, unsigned int index)
+{
+  rgroup_controls *rgl = &(*lens)[nvectors - 1];
+
+  /* Populate the rgroup's len array, if this is the first time we've
+     used it.  */
+  if (rgl->controls.is_empty ())
+    {
+      rgl->controls.safe_grow_cleared (nvectors);
+      for (unsigned int i = 0; i < nvectors; ++i)
+	{
+	  tree len_type = LOOP_VINFO_RGROUP_COMPARE_TYPE (loop_vinfo);
+	  gcc_assert (len_type != NULL_TREE);
+	  tree len = make_temp_ssa_name (len_type, NULL, "loop_len");
+
+	  /* Provide a dummy definition until the real one is available.  */
+	  SSA_NAME_DEF_STMT (len) = gimple_build_nop ();
+	  rgl->controls[i] = len;
+	}
+    }
+
+  return rgl->controls[index];
+}
+
 /* Scale profiling counters by estimation for LOOP which is vectorized
    by factor VF.  */
 
diff --git a/gcc/tree-vect-stmts.c b/gcc/tree-vect-stmts.c
index cdd6f6c5e5d..1da67f31859 100644
--- a/gcc/tree-vect-stmts.c
+++ b/gcc/tree-vect-stmts.c
@@ -1742,29 +1742,56 @@ check_load_store_for_partial_vectors (loop_vec_info loop_vinfo, tree vectype,
       return;
     }
 
-  machine_mode mask_mode;
-  if (!VECTOR_MODE_P (vecmode)
-      || !targetm.vectorize.get_mask_mode (vecmode).exists (&mask_mode)
-      || !can_vec_mask_load_store_p (vecmode, mask_mode, is_load))
+  if (!VECTOR_MODE_P (vecmode))
     {
       if (dump_enabled_p ())
 	dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
-			 "can't use a fully-masked loop because the target"
-			 " doesn't have the appropriate masked load or"
-			 " store.\n");
+			 "can't operate on partial vectors because of"
+			 " the unexpected mode.\n");
       LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo) = false;
       return;
     }
-  /* We might load more scalars than we need for permuting SLP loads.
-     We checked in get_group_load_store_type that the extra elements
-     don't leak into a new vector.  */
+
   poly_uint64 nunits = TYPE_VECTOR_SUBPARTS (vectype);
   poly_uint64 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
   unsigned int nvectors;
-  if (can_div_away_from_zero_p (group_size * vf, nunits, &nvectors))
-    vect_record_loop_mask (loop_vinfo, masks, nvectors, vectype, scalar_mask);
-  else
-    gcc_unreachable ();
+
+  machine_mode mask_mode;
+  bool with_partial_vectors_p = false;
+  if (targetm.vectorize.get_mask_mode (vecmode).exists (&mask_mode)
+      && can_vec_mask_load_store_p (vecmode, mask_mode, is_load))
+    {
+      /* We might load more scalars than we need for permuting SLP loads.
+	 We checked in get_group_load_store_type that the extra elements
+	 don't leak into a new vector.  */
+      if (can_div_away_from_zero_p (group_size * vf, nunits, &nvectors))
+	vect_record_loop_mask (loop_vinfo, masks, nvectors, vectype,
+			       scalar_mask);
+      else
+	gcc_unreachable ();
+      with_partial_vectors_p = true;
+    }
+
+  optab op = is_load ? lenload_optab : lenstore_optab;
+  if (optab_handler (op, vecmode) != CODE_FOR_nothing)
+    {
+      vec_loop_lens *lens = &LOOP_VINFO_LENS (loop_vinfo);
+      if (can_div_away_from_zero_p (group_size * vf, nunits, &nvectors))
+	vect_record_loop_len (loop_vinfo, lens, nvectors, vectype);
+      else
+	gcc_unreachable ();
+      with_partial_vectors_p = true;
+    }
+
+  if (!with_partial_vectors_p)
+    {
+      if (dump_enabled_p ())
+	dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
+			 "can't operate on partial vectors because the"
+			 " target doesn't have the appropriate partial"
+			 "vectorization load or store.\n");
+      LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo) = false;
+    }
 }
 
 /* Return the mask input to a masked load or store.  VEC_MASK is the vectorized
@@ -7655,6 +7682,14 @@ vectorizable_store (vec_info *vinfo,
     = (loop_vinfo && LOOP_VINFO_FULLY_MASKED_P (loop_vinfo)
        ? &LOOP_VINFO_MASKS (loop_vinfo)
        : NULL);
+  vec_loop_lens *loop_lens
+    = (loop_vinfo && LOOP_VINFO_FULLY_WITH_LENGTH_P (loop_vinfo)
+       ? &LOOP_VINFO_LENS (loop_vinfo)
+       : NULL);
+
+  /* Shouldn't go with length-based approach if fully masked.  */
+  gcc_assert (!loop_lens || (loop_lens && !loop_masks));
+
   /* Targets with store-lane instructions must not require explicit
      realignment.  vect_supportable_dr_alignment always returns either
      dr_aligned or dr_unaligned_supported for masked operations.  */
@@ -7911,10 +7946,16 @@ vectorizable_store (vec_info *vinfo,
 	      unsigned HOST_WIDE_INT align;
 
 	      tree final_mask = NULL_TREE;
+	      tree final_len = NULL_TREE;
 	      if (loop_masks)
 		final_mask = vect_get_loop_mask (gsi, loop_masks,
 						 vec_num * ncopies,
 						 vectype, vec_num * j + i);
+	      else if (loop_lens)
+		final_len = vect_get_loop_len (loop_vinfo, loop_lens,
+					       vec_num * ncopies,
+					       vec_num * j + i);
+
 	      if (vec_mask)
 		final_mask = prepare_load_store_mask (mask_vectype, final_mask,
 						      vec_mask, gsi);
@@ -7994,6 +8035,17 @@ vectorizable_store (vec_info *vinfo,
 		  vect_finish_stmt_generation (vinfo, stmt_info, call, gsi);
 		  new_stmt = call;
 		}
+	      else if (final_len)
+		{
+		  align = least_bit_hwi (misalign | align);
+		  tree ptr = build_int_cst (ref_type, align);
+		  gcall *call
+		    = gimple_build_call_internal (IFN_LEN_STORE, 4, dataref_ptr,
+						  ptr, final_len, vec_oprnd);
+		  gimple_call_set_nothrow (call, true);
+		  vect_finish_stmt_generation (vinfo, stmt_info, call, gsi);
+		  new_stmt = call;
+		}
 	      else
 		{
 		  data_ref = fold_build2 (MEM_REF, vectype,
@@ -8531,6 +8583,7 @@ vectorizable_load (vec_info *vinfo,
       tree dr_offset;
 
       gcc_assert (!LOOP_VINFO_FULLY_MASKED_P (loop_vinfo));
+      gcc_assert (!LOOP_VINFO_FULLY_WITH_LENGTH_P (loop_vinfo));
       gcc_assert (!nested_in_vect_loop);
 
       if (grouped_load)
@@ -8819,6 +8872,14 @@ vectorizable_load (vec_info *vinfo,
     = (loop_vinfo && LOOP_VINFO_FULLY_MASKED_P (loop_vinfo)
        ? &LOOP_VINFO_MASKS (loop_vinfo)
        : NULL);
+  vec_loop_lens *loop_lens
+    = (loop_vinfo && LOOP_VINFO_FULLY_WITH_LENGTH_P (loop_vinfo)
+       ? &LOOP_VINFO_LENS (loop_vinfo)
+       : NULL);
+
+  /* Shouldn't go with length-based approach if fully masked.  */
+  gcc_assert (!loop_lens || (loop_lens && !loop_masks));
+
   /* Targets with store-lane instructions must not require explicit
      realignment.  vect_supportable_dr_alignment always returns either
      dr_aligned or dr_unaligned_supported for masked operations.  */
@@ -9134,11 +9195,18 @@ vectorizable_load (vec_info *vinfo,
 	  for (i = 0; i < vec_num; i++)
 	    {
 	      tree final_mask = NULL_TREE;
+	      tree final_len = NULL_TREE;
 	      if (loop_masks
 		  && memory_access_type != VMAT_INVARIANT)
 		final_mask = vect_get_loop_mask (gsi, loop_masks,
 						 vec_num * ncopies,
 						 vectype, vec_num * j + i);
+	      else if (loop_lens
+		  && memory_access_type != VMAT_INVARIANT)
+		final_len = vect_get_loop_len (loop_vinfo, loop_lens,
+					       vec_num * ncopies,
+					       vec_num * j + i);
+
 	      if (vec_mask)
 		final_mask = prepare_load_store_mask (mask_vectype, final_mask,
 						      vec_mask, gsi);
@@ -9207,6 +9275,18 @@ vectorizable_load (vec_info *vinfo,
 			new_stmt = call;
 			data_ref = NULL_TREE;
 		      }
+		    else if (final_len)
+		      {
+			align = least_bit_hwi (misalign | align);
+			tree ptr = build_int_cst (ref_type, align);
+			gcall *call
+			  = gimple_build_call_internal (IFN_LEN_LOAD, 3,
+							dataref_ptr, ptr,
+							final_len);
+			gimple_call_set_nothrow (call, true);
+			new_stmt = call;
+			data_ref = NULL_TREE;
+		      }
 		    else
 		      {
 			tree ltype = vectype;
@@ -9850,11 +9930,30 @@ vectorizable_condition (vec_info *vinfo,
 	  return false;
 	}
 
-      if (loop_vinfo
-	  && LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo)
-	  && reduction_type == EXTRACT_LAST_REDUCTION)
-	vect_record_loop_mask (loop_vinfo, &LOOP_VINFO_MASKS (loop_vinfo),
-			       ncopies * vec_num, vectype, NULL);
+      if (loop_vinfo && for_reduction
+	  && LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo))
+	{
+	  if (reduction_type == EXTRACT_LAST_REDUCTION)
+	    vect_record_loop_mask (loop_vinfo, &LOOP_VINFO_MASKS (loop_vinfo),
+				   ncopies * vec_num, vectype, NULL);
+	  /* Using partial vectors can introduce inactive lanes in the last
+	     iteration, since full vector of condition results are operated,
+	     it's unsafe here.  But if we can AND the condition mask with
+	     loop mask, it would be safe then.  */
+	  else if (!loop_vinfo->scalar_cond_masked_set.is_empty ())
+	    {
+	      scalar_cond_masked_key cond (cond_expr, ncopies * vec_num);
+	      if (!loop_vinfo->scalar_cond_masked_set.contains (cond))
+		{
+		  bool honor_nans = HONOR_NANS (TREE_TYPE (cond.op0));
+		  cond.code = invert_tree_comparison (cond.code, honor_nans);
+		  if (!loop_vinfo->scalar_cond_masked_set.contains (cond))
+		    LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo) = false;
+		}
+	    }
+	  else
+	    LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P (loop_vinfo) = false;
+	}
 
       STMT_VINFO_TYPE (stmt_info) = condition_vec_info_type;
       vect_model_simple_cost (vinfo, stmt_info, ncopies, dts, ndts, slp_node,
@@ -11910,3 +12009,36 @@ vect_get_vector_types_for_stmt (vec_info *vinfo, stmt_vec_info stmt_info,
   *nunits_vectype_out = nunits_vectype;
   return opt_result::success ();
 }
+
+/* Generate and return statement sequence that sets vector length LEN that is:
+
+   min_of_start_and_end = min (START_INDEX, END_INDEX);
+   left_len = END_INDEX - min_of_start_and_end;
+   rhs = min (left_len, LEN_LIMIT);
+   LEN = rhs;
+
+   TODO: for now, rs6000 supported vector with length only cares 8-bits, which
+   means if we have left_len in bytes larger than 255, it can't be saturated to
+   vector limit (vector size).  One target hook can be provided if other ports
+   don't suffer this.
+*/
+
+gimple_seq
+vect_gen_len (tree len, tree start_index, tree end_index, tree len_limit)
+{
+  gimple_seq stmts = NULL;
+  tree len_type = TREE_TYPE (len);
+  gcc_assert (TREE_TYPE (start_index) == len_type);
+
+  tree min = fold_build2 (MIN_EXPR, len_type, start_index, end_index);
+  tree left_len = fold_build2 (MINUS_EXPR, len_type, end_index, min);
+  left_len = fold_build2 (MIN_EXPR, len_type, left_len, len_limit);
+
+  tree rhs = force_gimple_operand (left_len, &stmts, true, NULL_TREE);
+  gimple *new_stmt = gimple_build_assign (len, rhs);
+  gimple_stmt_iterator i = gsi_last (stmts);
+  gsi_insert_after_without_update (&i, new_stmt, GSI_CONTINUE_LINKING);
+
+  return stmts;
+}
+
diff --git a/gcc/tree-vectorizer.h b/gcc/tree-vectorizer.h
index 6c830ad09f4..3752ce51e64 100644
--- a/gcc/tree-vectorizer.h
+++ b/gcc/tree-vectorizer.h
@@ -417,6 +417,16 @@ is_a_helper <_bb_vec_info *>::test (vec_info *i)
    are compile-time constants but VF and nL can be variable (if the target
    supports variable-length vectors).
 
+   Moreover, for some approach with partial vectors like being controlled
+   by length (in bytes), it cares about the occupied bytes for each scalar.
+   Provided that each scalar has factor bytes, the total number of scalar
+   values becomes to factor * N, the above equation becomes to:
+
+       factor * N = factor * NS * VF = factor * NV * NL
+
+   factor * NS is the bytes of each scalar, factor * NL is the vector size
+   in bytes.
+
    In classical vectorization, each iteration of the vector loop would
    handle exactly VF iterations of the original scalar loop.  However,
    in vector loops that are able to operate on partial vectors, a
@@ -473,14 +483,19 @@ is_a_helper <_bb_vec_info *>::test (vec_info *i)
    first level being indexed by nV - 1 (since nV == 0 doesn't exist) and
    the second being indexed by the mask index 0 <= i < nV.  */
 
-/* The controls (like masks) needed by rgroups with nV vectors,
+/* The controls (like masks, lengths) needed by rgroups with nV vectors,
    according to the description above.  */
 struct rgroup_controls {
   /* The largest nS for all rgroups that use these controls.  */
   unsigned int max_nscalars_per_iter;
 
-  /* The type of control to use, based on the highest nS recorded above.
-     For mask-based approach, it's used for mask_type.  */
+  /* For now, it's mainly used for length-based in bytes approach, it's
+     record the occupied bytes of each scalar.  */
+  unsigned int factor;
+
+  /* This type is based on the highest nS recorded above.
+     For mask-based approach, it records mask type to use.
+     For length-based approach, it records appropriate vector type.  */
   tree type;
 
   /* A vector of nV controls, in iteration order.  */
@@ -489,6 +504,8 @@ struct rgroup_controls {
 
 typedef auto_vec<rgroup_controls> vec_loop_masks;
 
+typedef auto_vec<rgroup_controls> vec_loop_lens;
+
 typedef auto_vec<std::pair<data_reference*, tree> > drs_init_vec;
 
 /*-----------------------------------------------------------------*/
@@ -536,6 +553,10 @@ public:
      on inactive scalars.  */
   vec_loop_masks masks;
 
+  /* The lengths that a loop with length should use to avoid operating
+     on inactive scalars.  */
+  vec_loop_lens lens;
+
   /* Set of scalar conditions that have loop mask applied.  */
   scalar_cond_masked_set_type scalar_cond_masked_set;
 
@@ -644,6 +665,10 @@ public:
      the vector loop can handle fewer than VF scalars.  */
   bool using_partial_vectors_p;
 
+  /* True if we've decided to use partially-populated vectors for the
+     epilogue of loop, only for length-based approach for now.  */
+  bool epil_using_partial_vectors_p;
+
   /* When we have grouped data accesses with gaps, we may introduce invalid
      memory accesses.  We peel the last iteration of the loop to prevent
      this.  */
@@ -707,9 +732,12 @@ public:
 #define LOOP_VINFO_VECTORIZABLE_P(L)       (L)->vectorizable
 #define LOOP_VINFO_CAN_USE_PARTIAL_VECTORS_P(L) (L)->can_use_partial_vectors_p
 #define LOOP_VINFO_USING_PARTIAL_VECTORS_P(L) (L)->using_partial_vectors_p
+#define LOOP_VINFO_EPIL_USING_PARTIAL_VECTORS_P(L)                             \
+  (L)->epil_using_partial_vectors_p
 #define LOOP_VINFO_VECT_FACTOR(L)          (L)->vectorization_factor
 #define LOOP_VINFO_MAX_VECT_FACTOR(L)      (L)->max_vectorization_factor
 #define LOOP_VINFO_MASKS(L)                (L)->masks
+#define LOOP_VINFO_LENS(L)                 (L)->lens
 #define LOOP_VINFO_MASK_SKIP_NITERS(L)     (L)->mask_skip_niters
 #define LOOP_VINFO_RGROUP_COMPARE_TYPE(L)  (L)->rgroup_compare_type
 #define LOOP_VINFO_RGROUP_IV_TYPE(L)       (L)->rgroup_iv_type
@@ -747,6 +775,10 @@ public:
   (LOOP_VINFO_USING_PARTIAL_VECTORS_P (L)	\
    && !LOOP_VINFO_MASKS (L).is_empty ())
 
+#define LOOP_VINFO_FULLY_WITH_LENGTH_P(L)	\
+  (LOOP_VINFO_USING_PARTIAL_VECTORS_P (L)	\
+   && !LOOP_VINFO_LENS (L).is_empty ())
+
 #define LOOP_REQUIRES_VERSIONING_FOR_ALIGNMENT(L)	\
   ((L)->may_misalign_stmts.length () > 0)
 #define LOOP_REQUIRES_VERSIONING_FOR_ALIAS(L)		\
@@ -1866,6 +1898,11 @@ extern void vect_record_loop_mask (loop_vec_info, vec_loop_masks *,
 				   unsigned int, tree, tree);
 extern tree vect_get_loop_mask (gimple_stmt_iterator *, vec_loop_masks *,
 				unsigned int, tree, unsigned int);
+extern void vect_record_loop_len (loop_vec_info, vec_loop_lens *, unsigned int,
+				  tree);
+extern tree vect_get_loop_len (loop_vec_info, vec_loop_lens *, unsigned int,
+			       unsigned int);
+extern gimple_seq vect_gen_len (tree, tree, tree, tree);
 extern stmt_vec_info info_for_reduction (vec_info *, stmt_vec_info);
 
 /* Drive for loop transformation stage.  */
