Add run time compilation

.github/workflows/linux-build.yml

@@ -114,7 +114,7 @@ jobs:
             "-DVELOX_ENABLE_GCS=ON"
             "-DVELOX_ENABLE_ABFS=ON"
             "-DVELOX_ENABLE_REMOTE_FUNCTIONS=ON"
-            "-DVELOX_ENABLE_GPU=ON"
+            "-DVELOX_ENABLE_GPU=OFF"
             "-DVELOX_MONO_LIBRARY=ON"
           )
           make release EXTRA_CMAKE_FLAGS="${EXTRA_CMAKE_FLAGS[*]}"

CMakeLists.txt

@@ -241,7 +241,7 @@ list(INSERT CMAKE_FIND_LIBRARY_SUFFIXES 0 a)
 if(VELOX_ENABLE_S3)
   # Set AWS_ROOT_DIR if you have a custom install location of AWS SDK CPP.
   if(AWSSDK_ROOT_DIR)
-    set(CMAKE_PREFIX_PATH ${AWSSDK_ROOT_DIR})
+    list(APPEND CMAKE_PREFIX_PATH ${AWSSDK_ROOT_DIR})
   endif()
   find_package(AWSSDK REQUIRED COMPONENTS s3;identity-management)
   add_definitions(-DVELOX_ENABLE_S3)
@@ -381,6 +381,7 @@ if(${VELOX_ENABLE_GPU})
     add_compile_options("$<$<COMPILE_LANGUAGE:CUDA>:-G>")
   endif()
   include_directories("${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES}")
+  find_package(CUDAToolkit REQUIRED)
 endif()
 
 set(CMAKE_EXPORT_COMPILE_COMMANDS ON)

velox/experimental/wave/common/CMakeLists.txt

@@ -16,13 +16,19 @@ velox_add_library(
   velox_wave_common
   GpuArena.cpp
   Buffer.cpp
+  Compile.cu
   Cuda.cu
   Exception.cpp
+  KernelCache.cpp
   Type.cpp
   ResultStaging.cpp)
 
-velox_link_libraries(velox_wave_common velox_exception velox_common_base
-                     velox_type)
+velox_link_libraries(
+  velox_wave_common
+  velox_exception
+  velox_common_base
+  velox_type
+  CUDA::nvrtc)
 
 if(${VELOX_BUILD_TESTING})
   add_subdirectory(tests)

velox/experimental/wave/common/Compile.cu

@@ -0,0 +1,225 @@
+/*
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <fmt/format.h>
+#include <gflags/gflags.h>
+#include <nvrtc.h>
+#include "velox/experimental/wave/common/Cuda.h"
+#include "velox/experimental/wave/common/CudaUtil.cuh"
+#include "velox/experimental/wave/common/Exception.h"
+
+DEFINE_string(
+    wavegen_architecture,
+    "compute_70",
+    "--gpu-architecture flag for generated code");
+
+namespace facebook::velox::wave {
+
+void nvrtcCheck(nvrtcResult result) {
+  if (result != NVRTC_SUCCESS) {
+    waveError(nvrtcGetErrorString(result));
+  }
+}
+
+class CompiledModuleImpl : public CompiledModule {
+ public:
+  CompiledModuleImpl(CUmodule module, std::vector<CUfunction> kernels)
+      : module_(module), kernels_(std::move(kernels)) {}
+
+  ~CompiledModuleImpl() {
+    auto result = cuModuleUnload(module_);
+    if (result != CUDA_SUCCESS) {
+      LOG(ERROR) << "Error in unloading module " << result;
+    }
+  }
+
+  void launch(
+      int32_t kernelIdx,
+      int32_t numBlocks,
+      int32_t numThreads,
+      int32_t shared,
+      Stream* stream,
+      void** args) override;
+
+  KernelInfo info(int32_t kernelIdx) override;
+
+ private:
+  CUmodule module_;
+  std::vector<CUfunction> kernels_;
+};
+
+void addFlag(
+    const char* flag,
+    const char* value,
+    int32_t length,
+    std::vector<std::string>& data) {
+  std::string str(flag);
+  str.resize(str.size() + length + 1);
+  memcpy(str.data() + strlen(flag), value, length);
+  str.back() = 0;
+  data.push_back(std::move(str));
+}
+
+// Gets compiler options from the environment and appends  them  to 'opts''. The
+// memory is owned by  'data'.
+void getNvrtcOptions(
+    std::vector<const char*>& opts,
+    std::vector<std::string>& data) {
+  const char* includes = getenv("WAVE_NVRTC_INCLUDE_PATH");
+  if (includes && strlen(includes) > 0) {
+    for (;;) {
+      const char* end = strchr(includes, ':');
+      if (!end) {
+        addFlag("-I", includes, strlen(includes), data);
+        break;
+      }
+      addFlag("-I", includes, end - includes, data);
+      includes = end + 1;
+    }
+  }
+  const char* flags = getenv("WAVE_NVRTC_FLAGS");
+  if (flags && strlen(flags)) {
+    for (;;) {
+      auto end = strchr(flags, ' ');
+      if (!end) {
+        addFlag("", flags, strlen(flags), data);
+        break;
+      }
+      addFlag("", flags, end - flags, data);
+      flags = end + 1;
+    }
+  }
+  for (auto& str : data) {
+    opts.push_back(str.data());
+  }
+}
+
+std::shared_ptr<CompiledModule> CompiledModule::create(const KernelSpec& spec) {
+  nvrtcProgram prog;
+  nvrtcCreateProgram(
+      &prog,
+      spec.code.c_str(), // buffer
+      spec.filePath.c_str(), // name
+      spec.numHeaders, // numHeaders
+      spec.headers, // headers
+      spec.headerNames); // includeNames
+  for (auto& name : spec.entryPoints) {
+    nvrtcCheck(nvrtcAddNameExpression(prog, name.c_str()));
+  }
+  std::vector<const char*> opts;
+  std::vector<std::string> optsData;
+#ifndef NDEBUG
+  optsData.push_back("-G");
+#else
+  optsData.push_back("-O3");
+#endif
+  getNvrtcOptions(opts, optsData);
+
+  auto compileResult = nvrtcCompileProgram(
+      prog, // prog
+      opts.size(), // numOptions
+      opts.data()); // options
+
+  size_t logSize;
+
+  nvrtcGetProgramLogSize(prog, &logSize);
+  std::string log;
+  log.resize(logSize);
+  nvrtcGetProgramLog(prog, log.data());
+
+  if (compileResult != NVRTC_SUCCESS) {
+    nvrtcDestroyProgram(&prog);
+    waveError(std::string("Cuda compilation error: ") + log);
+  }
+  // Obtain PTX from the program.
+  size_t ptxSize;
+  nvrtcCheck(nvrtcGetPTXSize(prog, &ptxSize));
+  std::string ptx;
+  ptx.resize(ptxSize);
+  nvrtcCheck(nvrtcGetPTX(prog, ptx.data()));
+  std::vector<std::string> loweredNames;
+  for (auto& entry : spec.entryPoints) {
+    const char* temp;
+    nvrtcCheck(nvrtcGetLoweredName(prog, entry.c_str(), &temp));
+    loweredNames.push_back(std::string(temp));
+  }
+
+  nvrtcDestroyProgram(&prog);
+  CUjit_option options[] = {
+      CU_JIT_INFO_LOG_BUFFER,
+      CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES,
+      CU_JIT_ERROR_LOG_BUFFER,
+      CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES};
+  char info[1024];
+  char error[1024];
+  uint32_t infoSize = sizeof(info);
+  uint32_t errorSize = sizeof(error);
+  void* values[] = {info, &infoSize, error, &errorSize};
+
+  CUmodule module;
+  auto loadResult = cuModuleLoadDataEx(
+      &module, ptx.data(), sizeof(values) / sizeof(void*), options, values);
+  if (loadResult != CUDA_SUCCESS) {
+    LOG(ERROR) << "Load error " << errorSize << " " << infoSize;
+    waveError(fmt::format("Error in load module: {} {}", info, error));
+  }
+  std::vector<CUfunction> funcs;
+  for (auto& name : loweredNames) {
+    funcs.emplace_back();
+    CU_CHECK(cuModuleGetFunction(&funcs.back(), module, name.c_str()));
+  }
+  return std::make_shared<CompiledModuleImpl>(module, std::move(funcs));
+}
+
+void CompiledModuleImpl::launch(
+    int32_t kernelIdx,
+    int32_t numBlocks,
+    int32_t numThreads,
+    int32_t shared,
+    Stream* stream,
+    void** args) {
+  auto result = cuLaunchKernel(
+      kernels_[kernelIdx],
+      numBlocks,
+      1,
+      1, // grid dim
+      numThreads,
+      1,
+      1, // block dim
+      shared,
+      reinterpret_cast<CUstream>(stream->stream()->stream),
+      args,
+      0);
+  CU_CHECK(result);
+};
+
+KernelInfo CompiledModuleImpl::info(int32_t kernelIdx) {
+  KernelInfo info;
+  auto f = kernels_[kernelIdx];
+  cuFuncGetAttribute(&info.numRegs, CU_FUNC_ATTRIBUTE_NUM_REGS, f);
+  cuFuncGetAttribute(
+      &info.sharedMemory, CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES, f);
+  cuFuncGetAttribute(
+      &info.maxThreadsPerBlock, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, f);
+  int32_t max;
+  cuOccupancyMaxActiveBlocksPerMultiprocessor(&max, f, 256, 0);
+  info.maxOccupancy0 = max;
+  cuOccupancyMaxActiveBlocksPerMultiprocessor(&max, f, 256, 256 * 32);
+  info.maxOccupancy32 = max;
+  return info;
+}
+
+} // namespace facebook::velox::wave