Registering a new compiler extension in ComputeMux requires the following files:

compiler/refsi_tutorial/extension/riscv_clmul/
├─ CMakeLists.txt
├─ include/
│  ├─ extension/
│  │  ├─ riscv_clmul.h
│  │  ├─ builtins.h
├─ source/
│  ├─ riscv_clmul.cpp

Note that this requires the new directory extension to have a simple CMakeLists.txt as follows:

add_subdirectory(riscv_clmul)

The extension subdirectory has to be added to compiler/refsi_tutorial/CMakeLists.txt before set(REFSI_TUTORIAL_SOURCES:

add_subdirectory(extension)

# add before this point
set(REFSI_TUTORIAL_SOURCES

The main header and source files provide the OpenCL runtime with knowledge of the extension when registered:

riscv_clmul.h:

#ifndef EXTENSION_RISCV_CLMUL_INCLUDED
#define EXTENSION_RISCV_CLMUL_INCLUDED

#include <extension/extension.h>

namespace extension {

class riscv_clmul final : public extension {
 public:
  riscv_clmul();
};

}  // namespace extension

#endif  // EXTENSION_RISCV_CLMUL_INCLUDED

riscv_clmul.cpp:

#include <extension/riscv_clmul.h>

extension::riscv_clmul::riscv_clmul()
    : extension("cl_riscv_clmul",
                usage_category::DEVICE CA_CL_EXT_VERSION(1, 0, 0)) {}

The CMake code is used to register a compiler extension with these source files and register a force-include header file which is implicitly included in all OpenCL programs when the extension is enabled.

CMakeLists.txt:

add_ca_cl_compiler_extension(riscv-clmul
  EXTENSIONS riscv_clmul
  INCLUDE_DIRS ${CMAKE_CURRENT_SOURCE_DIR}/include
  SOURCES
  ${CMAKE_CURRENT_SOURCE_DIR}/include/extension/riscv_clmul.h
  ${CMAKE_CURRENT_SOURCE_DIR}/source/riscv_clmul.cpp)

add_ca_force_header(PREFIX "riscv_clmul"
  DEVICE_NAME "${CA_REFSI_TUTORIAL_DEVICE}"
  PATH "${CMAKE_CURRENT_SOURCE_DIR}/include/extension/builtins.h")

The force-include header itself provides declarations of the builtin functions to expose to users. This tutorial covers adding three builtins which map 1:1 with their corresponding RISC-V instructions, assuming a 64-bit RISC-V platform (i.e., mapping the 64-bit long directly to the native 64-bit register length without type promotion).

builtins.h:

// Produce the lower half of the 128-bit carry-less product
__attribute__((overloadable)) long clmul(long, long);

// Produce the upper half of the 128-bit carry-less product
__attribute__((overloadable)) long clmulh(long, long);

// Produces bits 126-63 of the 128-bit carry-less product
__attribute__((overloadable)) long clmulr(long, long);

With the extension registered, it is now possible for users to use these builtins in programs via the implicitly-included header:

kernel void do_clmul(global long *a, global long *b, global long *z) {
  size_t id = get_global_id(0);
  z[id] = clmul(a[id], b[id]);
}

However, the builtins have been provided only as declarations so the compiler is required to provide definitions for the builtins. Without this step, the program fails to build as it contains unresolved symbols. The next step is to modify the compiler to translate the builtin functions to LLVM intrinsic functions which finish the implementation.

With the clmul* builtins registered via the extension and successfully entering the LLVM IR module via the compiler frontend, the next step is to ensure that the builtins are lowered to the appropriate instructions.

This tutorial lowers builtins to RISC-V instructions via LLVM intrinsics as the open-source LLVM 13+ compiler provides intrinsics which map 1:1 with clmul* instructions. The task, therefore, is to replace calls to clmul* builtin functions in LLVM IR with calls to llvm.riscv.clmul* intrinsic functions.

ComputeMux makes this task straightforward; targets can hook in custom logic to replace builtin functions with more optimal sequences of LLVM IR.

The OptimalBuiltinReplacementPass is a utility pass that runs over a module, identifying call instructions and replacing them with new IR sequences. This pass will run by default in the refsi_tutorial. Alternatively the pass can be run at any point by targets with their own customized pass pipelines. Part of the information it uses for the replacements is defined by a BuiltinInfo class.

The pass needs more information to replace clmul* instructions. This can be done by creating a custom inherited class from CLBuiltinInfo. CLBuiltinInfo is a class that encapsulates information and transformations concerning compiler OpenCL builtin functions.

First we define the class, which needs to define two methods, analyzeBuiltin and emitBuiltinInline as follows after the headers in module.cpp:

#include <llvm/IR/IntrinsicsRISCV.h>
#include <compiler/utils/mangling.h>

namespace refsi_tutorial {
  class CLTargetBuiltinInfo : public compiler::utils::CLBuiltinInfo {
  public:
    // Will be filled out by each example
    CLTargetBuiltinInfo(std::unique_ptr<compiler::utils::CLBuiltinLoader> L)
        : compiler::utils::CLBuiltinInfo(std::move(L)) {}
    compiler::utils::Builtin analyzeBuiltin(
        llvm::Function const &Builtin) const override {
    }
    llvm::Value *emitBuiltinInline(
        llvm::Function *Builtin, llvm::IRBuilder<> &B,
        llvm::ArrayRef<llvm::Value *> Args) override {
    }
  };
}

We will fill in the bodies of these function later in the tutorial.

Next we need to update createPassMachinery to register our CLTargetBuiltinInfo rather than the default one. This is done via setting a callback for the PassMachinery class which is used to register an analysis pass which uses a BuiltinInfo class as a basis.

In createPassMachinery we replace the lines:

auto Callback = [Builtins](const llvm::Module &) {
  return compiler::utils::BuiltinInfo(utils::createSimpleCLBuiltinInfo(Builtins));
};

with

auto Callback = [Builtins](const llvm::Module &) {
  return compiler::utils::BuiltinInfo(createSimpleTargetCLBuiltinInfo(Builtins));
};

This requires createSimpleTargetCLBuiltinInfo to be implemented. This calls std::make_unique to create a unique pointer to a newly created BILangInfoConcept templated with the new class and passes it a builtin loader. This can be written as follows:

std::unique_ptr<compiler::utils::BILangInfoConcept> createSimpleTargetCLBuiltinInfo(
    llvm::Module *Builtins) {
  return std::make_unique<CLTargetBuiltinInfo>(
      std::make_unique<compiler::utils::SimpleCLBuiltinLoader>(Builtins));

At this point everything is plumbed in, but the class will do nothing different to CLBuiltinInfo. There are two parts to this. Firstly we need to implement the analyzeBuiltin. This has to return property information about the builtin. In this case we want to say that it can be emitted inline. We also set the no side effects property to assist optimization. This also demangles the names of the builtins to match. Note that if we are not declaring any additional BuiltinID values, we can use eBuiltinUnknown. Replace analyzeBuiltin method with the following:

compiler::utils::NameMangler mangler(&Builtin.getParent()->getContext());
llvm::StringRef BaseName = mangler.demangleName(Builtin.getName());

if ((BaseName == "clmul") || (BaseName == "clmulh") ||
    (BaseName == "clmulr")) {
  unsigned Properties = compiler::utils::eBuiltinPropertyCanEmitInline |
                        compiler::utils::eBuiltinPropertyNoSideEffects;
  return (compiler::utils::BuiltinProperties)Properties;
  return compiler::utils::Builtin{
      Builtin, compiler::utils::eBuiltinUnknown,
      (compiler::utils::BuiltinProperties)Properties};
}
compiler::utils::CLBuiltinInfo::analyzeBuiltin(Builtin);

With this in place we update emitBuiltinInline by identifying calls to clmul, clmulh and clmulr and replaces them with the equivalent LLVM intrinsic.

if (Builtin) {
  compiler::utils::NameMangler mangler(&Builtin->getParent()->getContext());
  llvm::StringRef BaseName = mangler.demangleName(Builtin->getName());
  if (BaseName == "clmul") {
    return B.CreateIntrinsic(llvm::Intrinsic::riscv_clmul,
                            Builtin->getReturnType(), {Args[0], Args[1]});
  } else if (BaseName == "clmulh") {
    return B.CreateIntrinsic(llvm::Intrinsic::riscv_clmulh,
                            Builtin->getReturnType(), {Args[0], Args[1]});
  } else if (BaseName == "clmulr") {
    return B.CreateIntrinsic(llvm::Intrinsic::riscv_clmulr,
                            Builtin->getReturnType(), {Args[0], Args[1]});
  }
}
return compiler::utils::CLBuiltinInfo::emitBuiltinInline(Builtin, B, Args);

With the above step completed, users can compile OpenCL programs using clmul* builtins that are optimally mapped directly to RISC-V instructions. This can be done with the standalone compiler clc (which can be built with ninja clc).

clmul.cl:

kernel void do_clmul(global long *a, global long *b, global long *z) {
  size_t id = get_global_id(0);
  z[id] = clmul(a[id], b[id]);
}

clc --strip-binary-header -o clmul.o clmul.cl -cl-wfv=never

llvm-objdump --disassemble --triple=riscv64 --mattr="v,c,zbc" clmul.o | grep clmul

0000000000010000 <do_clmul>:
   1003c: 33 96 c6 0a   clmul   a3, a5, a3

Finally this can also be tested using a lit test, which is a common way of testing passes in LLVM. The tool muxc can be used for this purpose in a similar way to how the LLVM tool opt can be used. Create the following file compiler/refsi_tutorial/test/clmul_replace.ll:

; RUN: %muxc --device "RefSi M1 Tutorial" %s --passes "require<builtin-info>,optimal-builtin-replace,verify" -S | FileCheck %s

target datalayout = "e-m:e-p:64:64-i64:64-i128:128-n64-S128"
target triple = "riscv64-unknown-unknown-elf"

; CHECK:   call i64 @llvm.riscv.clmul.i64
; CHECK:   call i64 @llvm.riscv.clmulh.i64
; CHECK:   call i64 @llvm.riscv.clmulr.i64

; Function Attrs: norecurse nounwind
define spir_kernel void @do_clmul(ptr addrspace(1) %a, ptr addrspace(1) %b, ptr addrspace(1) %z) {
entry:
  %0 = load i64, ptr addrspace(1) %a
  %1 = load i64, ptr addrspace(1) %b
  %call = tail call spir_func i64 @_Z5clmulll(i64 %0, i64 %1)
  %call4 = tail call spir_func i64 @_Z6clmulhll(i64 %0, i64 %1)
  %add = add nsw i64 %call4, %call
  %call7 = tail call spir_func i64 @_Z6clmulrll(i64 %0, i64 %1)
  %add8 = add nsw i64 %add, %call7
  store i64 %add8, ptr addrspace(1) %z
  ret void
}

declare spir_func i64 @_Z5clmulll(i64, i64)

declare spir_func i64 @_Z6clmulhll(i64, i64)

declare spir_func i64 @_Z6clmulrll(i64, i64)

muxc is used here to run the the builtin-info analysis pass and the optimal-builtin-replace pass on the input IR. This results in the output of the intrinsics llvm.riscv.clmul*.

All of the lit tests for the refsi-tutorial target can be run with building the check-refsi-tutorial-lit target. If you use the create script for building new targets the target name will be used instead of refsi-tutorial.