[Optimization] Warp level reduction support for CUDA

include/tvm/tir/expr.h

@@ -1234,22 +1234,43 @@ constexpr const char *tvm_call_trace_packed_lowered =
  *  }
  */
 constexpr const char* tvm_storage_sync = "tvm_storage_sync";
+
 /*!
  * \brief See pseudo code
  *
- *  Type tvm_warp_shuffle(Type value, warp_id, width, warp_size) {
- *     return (value passed in by warp indicated by warp_id);
+ *  Type tvm_warp_shuffle(mask, Type value, warp_id, width, warp_size) {
+ *    return (value passed in by warp indicated by this_warp_id);
+ *  }
+ *
+ *  Type tvm_warp_shuffle_up(mask, Type value, offset, width, warp_size) {
+ *    return (value passed in by warp indicated by this_warp_id - offset);
+ *  }
+ *
+ *  Type tvm_warp_shuffle_down(mask, Type value, offset, width, warp_size) {
+ *    return (value passed in by warp indicated by this_warp_id + offset);
+ *  }
+ *
+ *  unsigned tvm_warp_activemask() {
+ *    return (32-bit mask of currently active threads in the calling warp);
  *  }
  *
  *  Parameter warp_id indicates the source thread ID in a warp.
  *
+ *  Parameter offset indicates the relative distance to this_warp_id.
+ *
  *  Parameter width indicates the number of threads involved in one
- *  shuffle. See CUDA document for __shfl.
+ *  shuffle. See CUDA document for __shfl_sync, __shfl_up_sync,
+ *  __shfl_down_sync and __activemask.
  *
  *  Parameter warp_size is the size of a warp, which helps a backend
  *  to determine wheter the width paramter is legal.
+ *
  */
 constexpr const char* tvm_warp_shuffle = "tvm_warp_shuffle";
+constexpr const char* tvm_warp_shuffle_up = "tvm_warp_shuffle_up";
+constexpr const char* tvm_warp_shuffle_down = "tvm_warp_shuffle_down";
+constexpr const char* tvm_warp_activemask = "tvm_warp_activemask";
+
 /*!
  * \brief Initialize the global barrier.
  *  Call this at beginning of kernel that need global barrier.

src/target/source/codegen_cuda.cc

@@ -64,6 +64,10 @@ std::string CodeGenCUDA::Finish() {
     decl_stream << _cuda_half_util;
   }
 
+  if (enable_warp_shuffle_) {
+    decl_stream << _cuda_warp_intrinsic_util;
+  }
+
   if (enable_int8_) {
     decl_stream << "#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 610)\n";
     decl_stream << "#include <sm_61_intrinsics.h>\n";
@@ -269,6 +273,11 @@ void CodeGenCUDA::PrintVecBinaryOp(
 
 void CodeGenCUDA::PrintVecElemLoad(
     const std::string& vec, DataType t, int i, std::ostream& os) {  // NOLINT(*)
+  if (t.is_scalar()) {
+    os << vec;
+    return;
+  }
+
   static const char access[] = {'x', 'y', 'z', 'w'};
   CHECK(i >= 0 && i < (t.is_float16() ? 8 : 4));
   if ((t.is_int()) && t.bits() == 8) {
@@ -395,7 +404,15 @@ void CodeGenCUDA::VisitExpr_(const CastNode* op, std::ostream& os) {
   os << sret;
 }
 
-void CodeGenCUDA::VisitExpr_(const CallNode *op, std::ostream& os) {
+void CodeGenCUDA::VisitExpr_(const CallNode* op, std::ostream& os) {
+  // This is only for backward compatibility with __shfl_{up/down}.
+  // A macro will be used to replace *_sync calls to legacy ones.
+  if (op->is_intrinsic("__shfl_sync") ||
+      op->is_intrinsic("__shfl_up_sync") ||
+      op->is_intrinsic("__shfl_down_sync")) {
+    enable_warp_shuffle_ = true;
+  }
+
   if (op->is_intrinsic(intrinsic::tvm_fill_fragment)) {
     need_mma_h_ = true;
     CHECK_EQ(op->args.size(), 6U);

src/target/source/codegen_cuda.h

@@ -88,6 +88,8 @@ class CodeGenCUDA final : public CodeGenC {
   bool enable_fp16_{false};
   // whether enable int8
   bool enable_int8_{false};
+  // whether enable warp shuffle intrinsics
+  bool enable_warp_shuffle_{false};
   // whether need math_constants.h
   bool need_math_constants_h_{false};
   // whether need mma.h

src/target/source/intrin_rule_cuda.cc

@@ -81,14 +81,34 @@ struct CUDAPopcount {
   }
 };
 
+
+struct CUDAWarpIntrinsic {
+  const char* operator()(DataType t, const std::string& name) const {
+    if (name == intrinsic::tvm_warp_shuffle) {
+      return "__shfl_sync";
+    }
+    if (name == intrinsic::tvm_warp_shuffle_up) {
+      return "__shfl_up_sync";
+    }
+    if (name == intrinsic::tvm_warp_shuffle_down) {
+      return "__shfl_down_sync";
+    }
+    if (name == intrinsic::tvm_warp_activemask) {
+      return "__activemask";
+    }
+    return "";
+  }
+};
+
+template <typename T>
 static void DispatchCUDAShuffle(const TVMArgs& args, TVMRetValue* rv) {
   PrimExpr e = args[0];
   const CallNode* call = e.as<CallNode>();
   CHECK(call != nullptr);
-  CHECK_EQ(call->args.size(), 4);  // value, warp_id, width, warp_size
+  CHECK_EQ(call->args.size(), 5);  // mask, value, warp_id, width, warp_size
   Array<PrimExpr> cuda_args{{call->args[0], call->args[1], call->args[2]}};
-  *rv = CallNode::make(
-      call->dtype, "__shfl", cuda_args, CallNode::PureExtern);
+  const char* name = T()(call->dtype, call->name);
+  *rv = CallNode::make(call->dtype, name, cuda_args, CallNode::PureExtern);
 }
 
 TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.floor")
@@ -158,7 +178,16 @@ TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.popcount")
 .set_body(DispatchExtern<CUDAPopcount>);
 
 TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.tvm_warp_shuffle")
-.set_body(DispatchCUDAShuffle);
+.set_body(DispatchCUDAShuffle<CUDAWarpIntrinsic>);
+
+TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.tvm_warp_shuffle_up")
+.set_body(DispatchCUDAShuffle<CUDAWarpIntrinsic>);
+
+TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.tvm_warp_shuffle_down")
+.set_body(DispatchCUDAShuffle<CUDAWarpIntrinsic>);
+
+TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.tvm_warp_activemask")
+.set_body(DispatchExtern<CUDAWarpIntrinsic>);
 
 TVM_REGISTER_GLOBAL("tvm.intrin.rule.cuda.fmod")
 .set_body(DispatchExtern<CUDAMath>);

src/target/source/intrin_rule_opencl.cc

@@ -94,13 +94,13 @@ static void DispatchIntelShuffle(const TVMArgs& args, TVMRetValue* rv) {
   PrimExpr e = args[0];
   const CallNode* call = e.as<CallNode>();
   CHECK(call != nullptr);
-  CHECK_EQ(call->args.size(), 4);  // value, warp_id, width, warp_size
+  CHECK_EQ(call->args.size(), 5);  // mask, value, warp_id, width, warp_size
   arith::Analyzer analyzer;
-  CHECK(analyzer.CanProve(call->args[2] == call->args[3]))
+  CHECK(analyzer.CanProve(call->args[3] == call->args[4]))
     << "Intel warp shuffle dose not support width != warp_size";
-  Array<PrimExpr> cuda_args{{call->args[0], call->args[1]}};
-  *rv = CallNode::make(
-      call->dtype, "intel_sub_group_shuffle", cuda_args, CallNode::PureExtern);
+  Array<PrimExpr> opencl_args{{call->args[1], call->args[2]}};
+  *rv = CallNode::make(call->dtype, "intel_sub_group_shuffle",
+    opencl_args, CallNode::PureExtern);
 }
 
 TVM_REGISTER_GLOBAL("tvm.intrin.rule.opencl.tvm_warp_shuffle")

src/target/source/literal/cuda_half_t.h

@@ -295,4 +295,18 @@ __pack_half2(const half x, const half y) {
 }
 )";
 
+static constexpr const char* _cuda_warp_intrinsic_util = R"(
+#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ < 700)
+#define __shfl_sync(mask, var, lane, width) \
+        __shfl((var), (lane), (width))
+
+#define __shfl_down_sync(mask, var, offset, width) \
+        __shfl_down((var), (offset), (width))
+
+#define __shfl_up_sync(mask, var, offset, width) \
+        __shfl_up((var), (offset), (width))
+#endif
+
+)";
+
 #endif  // TVM_TARGET_SOURCE_LITERAL_CUDA_HALF_T_H_