[INFRA] Import NVIDIA/CCCL upstream as optimization reference library

CCCL (CUDA C++ Core Libraries) provides:
- CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk)
- Thrust: high-level parallel algorithms (transform_reduce, sort, scan)
- libcudacxx: CUDA C++ standard library (atomics, barriers, memory)
- cudax: experimental features (memory resources, allocators)
- Tuning policies: per-SM hardware-specific algorithm parameters

Competition optimization vectors mapped to CCCL:
- Output TPS (83% weight): warp_reduce, block_reduce, device_topk
- Input TPS (14% weight): device_scan, block_load, prefetch
- Cache TPS (3% weight): prefix caching strategy patterns
- Memory (0.9 util): pooled/cached/buddy allocators

Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only)
License: Apache-2.0

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/CMakeLists.txt

@@ -0,0 +1,15 @@
+project(nvrtcc CUDA)
+
+cccl_get_cudatoolkit()
+
+add_executable(libcudacxx.nvrtcc nvrtcc.cpp)
+
+set_target_properties(libcudacxx.nvrtcc PROPERTIES OUTPUT_NAME nvrtcc)
+target_link_libraries(
+  libcudacxx.nvrtcc
+  PUBLIC #
+    CUDA::nvrtc
+    CUDA::cudart
+    CUDA::cuda_driver
+)
+target_compile_features(libcudacxx.nvrtcc PRIVATE cxx_std_17)

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/README.md

@@ -0,0 +1,55 @@
+# NVRTCC
+
+## How to use:
+
+Configure libcudacxx to test with NVRTC and `cmake --build` the project before executing `lit`.
+
+```sh
+cmake ... -DLIBCUDACXX_TEST_WITH_NVRTC=ON
+cmake --build $BUILD_DIR
+lit ... $TEST_DIR
+```
+
+## How it works
+
+`nvrtcc` processes incoming arguments matching for flags that modify its behavior, and passes the rest to NVRTC.
+It will hopefully filter any that don't apply (gcc warnings and such).
+
+The input file is processed to be compatible with NVRTC similarly to the `nvrtc.sh` scripts during compilation.
+The resulting file is then compiled with NVRTC and stored as a fatbin. This is, in effect, a compilation pass for NVRTC.
+`.fail.cpp` tests will be analyzable by lit and should work properly.
+
+For execution, the fatbin file is provided to nvrtcc again, but will instead launch the precompiled test unit on the GPU.
+
+```mermaid
+flowchart TD;
+    compile{nvrtcc};
+    runfat{nvrtcc};
+
+    start[Execute lit]
+    build(Execute nvrtcc)
+    pass(Pass: Continue)
+    fail(Fail: Compile time failure)
+    save[Save fatbin]
+
+    load[Load fatbin]
+    testpass[Pass: No failures]
+    testfail[Fail: Report driver error]
+
+    save --> load;
+
+    subgraph Build Pass
+    start   --  lit -sv -Denable_nvrtc=true    --> build;
+    build   --  nvrtcc -x cu test.pass.cpp ... --> compile;
+    compile --> fail;
+    compile --> pass;
+    pass    --> save;
+    end
+
+
+    subgraph Test Pass
+    load -- nvrtcc test.pass.cpp.fatbin --> runfat;
+    runfat --> testpass
+    runfat --> testfail
+    end
+```

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/nvrtcc.cpp

@@ -0,0 +1,327 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of libcu++, the C++ Standard Library for your entire system,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#include <algorithm>
+#include <cassert>
+#include <deque>
+#include <functional>
+#include <regex>
+#include <set>
+#include <string>
+#include <vector>
+
+#include <stdio.h>
+
+#include "nvrtcc_build.h"
+#include "nvrtcc_run.h"
+#include "utils/platform.h"
+
+ArgList nvrtcArguments;
+ArgList ignoredArguments;
+std::string outputDir;
+std::string outputFile;
+std::string inputFile;
+
+bool skipOutput = false;
+bool building   = false;
+bool execute    = false;
+
+ExecutionConfig executionConfig;
+
+enum ArgProcessorState
+{
+  NORMAL,
+  GREEDY,
+  ABORT,
+};
+
+// Handlers may increment the iterator of the argument parser if they need multiple arguments
+// First argument is incrementable, last argument is the end of the list
+using ArgHandler    = std::function<ArgProcessorState(const std::smatch&)>;
+using ArgPair       = std::pair<std::regex, ArgHandler>;
+using ArgHandlerMap = std::vector<ArgPair>;
+
+int g_argc;
+char** g_argv;
+
+// Ignore PTX arch, only capture output version since PTX only compilation *must* be the same
+std::regex real_capture("^.*arch=.*,code=(sm_[0-9]+a?)$");
+std::regex virtual_capture("^.*arch=.*,code=(compute_[0-9]+a?)$");
+
+// Arch list is a set of unique pairs of strings and bools
+// e.x. { compute_arch, real_or_virtual }
+// { "sm_80", true } { "compute_80", false }
+using ArchList = std::set<ArchConfig>;
+ArchList buildList;
+
+// Input example: arch=compute_80,code=sm_80
+static ArchConfig translate_gpu_arch(const std::string& arch)
+{
+  std::smatch real;
+  std::smatch virt;
+  std::regex_match(arch, real, real_capture);
+  std::regex_match(arch, virt, virtual_capture);
+
+  // Safe default of "compute_60" in case parsing fails
+  ArchConfig config = (real.size()) ? ArchConfig{real[1].str(), true}
+                    : (virt.size()) ? ArchConfig{virt[1].str(), false}
+                                    : ArchConfig{"compute_60", false};
+
+  return config;
+}
+
+// Greedy handlers inform the argument processor to expect more arguments
+constexpr auto make_greedy_handler = [](char const* match) {
+  return ArgPair{std::regex(match), [](const std::smatch&) {
+                   return GREEDY;
+                 }};
+};
+
+ArgPair argHandlers[] = {
+  {// Forward all arguments to NVCC
+   std::regex("^-c$"),
+   [](const std::smatch&) {
+     building = true;
+     // We're compiling, maybe do something useful
+     return NORMAL; // Unreachable
+   }},
+  {// Forward all arguments to NVCC
+   std::regex("^-E$"),
+   [](const std::smatch&) {
+     platform_exec("nvcc", g_argv, g_argc);
+     return ABORT; // Unreachable
+   }},
+  {// Greed input file type flag
+   make_greedy_handler("^-x$")},
+  {// Matches for CUDA input type
+   std::regex("^-x ?cu$"),
+   [](const std::smatch& match) {
+     ignoredArguments.emplace_back(match[0].str());
+     return NORMAL;
+   }},
+  {// Matches anything other than CUDA as the CUDA flag is captured before this one
+   std::regex("^-x ?(.*)$"),
+   [](const std::smatch&) {
+     // If we're building with something else just add the default arch
+     buildList.emplace(translate_gpu_arch(""));
+     return NORMAL;
+   }},
+  {// The include flag is improperly formatted, greed append
+   make_greedy_handler("^-I$")},
+  {std::regex("^-I ?(.+)$"),
+   [](const std::smatch& match) {
+     nvrtcArguments.emplace_back(match[0].str());
+     return NORMAL;
+   }},
+  {make_greedy_handler("^(-include|-isystem)$")},
+  {// Matches any force include or system include directories
+   // Might need to figure out if we need to force include a file manually
+   std::regex("^-include ?(.+)$"),
+   [](const std::smatch& match) {
+     nvrtcArguments.emplace_back("--pre-include=" + match[1].str());
+     return NORMAL;
+   }},
+  {make_greedy_handler("^-o$")},
+  {// Matches '-o nul' which is used for syntax only testing (i.e. .fail.cpp tests)
+   std::regex("^-o (?:.*?dev)?.*nul$"),
+   [](const std::smatch&) {
+     skipOutput = true;
+     return NORMAL;
+   }},
+  {// Matches '-o object' and obtains the output directory
+   // \\\\ skip C++ escape, and skip regex escape to match \ on Windows
+   // The second match grouping catches the name sorta of the file. i.e. test.pass.cpp -> test.pass
+   std::regex("^-o (.+)[\\\\/]([^\\\\/]+)\\..+$"),
+   [](const std::smatch& match) {
+     outputDir  = match[1].str();
+     outputFile = match[2].str();
+     return NORMAL;
+   }},
+  {make_greedy_handler("^-gencode$")},
+  {// Matches '-gencode=' or '-gencode ...'
+   std::regex("^-gencode[= ]?(.+)$"),
+   [](const std::smatch& match) {
+     buildList.emplace(translate_gpu_arch(match[1].str().data()));
+     return NORMAL;
+   }},
+  {// Matches the many various versions of dialect switch and normalizes it
+   std::regex("^[-/]std[:=](.+)$"),
+   [](const std::smatch& match) {
+     nvrtcArguments.emplace_back("-std=" + match[1].str());
+     return NORMAL;
+   }},
+  {// Matches -G/--device-debug
+   std::regex("^(?:-G|--device-debug)$"),
+   [](const std::smatch&) {
+     nvrtcArguments.emplace_back("-G");
+     return NORMAL;
+   }},
+  {// Matches --device-int128/-device-int128
+   std::regex("^(?:--device-int128|-device-int128)$"),
+   [](const std::smatch&) {
+     nvrtcArguments.emplace_back("-device-int128");
+     return NORMAL;
+   }},
+#if CUDA_VERSION >= 12080
+  {// Matches --device-float128/-device-float128
+   std::regex("^(?:--device-float128|-device-float128)$"),
+   [](const std::smatch&) {
+     enable_float128 = true;
+     return NORMAL;
+   }},
+#endif // CUDA_VERSION >= 12080
+  {// Matches -D
+   std::regex("^-D.+$"),
+   [](const std::smatch& match) {
+     nvrtcArguments.emplace_back(match[0].str());
+     return NORMAL;
+   }},
+  {// Capture an argument that is just '-'. If no input file is listed input is on stdin
+   std::regex("^-$"),
+   [](const std::smatch& match) {
+     inputFile = match[0].str();
+     return NORMAL;
+   }},
+  {// If an input lists a .gpu file, run that file instead
+   std::regex("^([^-].*).gpu$"),
+   [](const std::smatch& match) {
+     execute         = true;
+     executionConfig = ExecutionConfig{RunConfig{1, 0}, {match[0].str()}};
+
+     return NORMAL;
+   }},
+  {// If an input is a .exe file, search for other builds and run those
+   std::regex("^([^-].*).exe$"),
+   [](const std::smatch& match) {
+     execute         = true;
+     executionConfig = load_execution_config_from_file(match[1].str() + ".build.yml");
+     assert(executionConfig.builds.size());
+     return NORMAL;
+   }},
+  {// Capture any argument not starting with '-' as the input file
+   std::regex("^([^-].+)[\\\\/].+$"),
+   [](const std::smatch& match) {
+     inputFile = match[0].str();
+     // Capture directory of input file as an include path
+     nvrtcArguments.emplace_back("-I " + match[1].str());
+     return NORMAL;
+   }},
+  {// Throw away remaining arguments
+   std::regex("^-.+$"),
+   [](const std::smatch& match) {
+     ignoredArguments.emplace_back(match[0].str());
+     return NORMAL;
+   }},
+};
+
+int main(int argc, char** argv)
+{
+  // Greedily take off first arg
+  g_argc = argc - 1;
+  g_argv = argv + 1;
+
+  ArgProcessorState argState = NORMAL;
+
+  // Start by parsing arguments and building the configuration
+  std::string c_arg{};
+  for (auto a = g_argv; a < g_argv + g_argc; a++)
+  {
+    // If the argument was greedy, we'll retry with an appended argument
+    c_arg = (argState == GREEDY) ? c_arg + " " + *a : *a;
+
+    for (auto& h : argHandlers)
+    {
+      auto& regex   = h.first;
+      auto& handler = h.second;
+
+      std::smatch matches;
+      std::regex_match(c_arg, matches, regex);
+
+      if (matches.size())
+      {
+        argState = handler(matches);
+        break;
+      }
+    }
+  }
+
+  fprintf(stderr, "NVRTCC Configuration:\r\n");
+  fprintf(stderr, "  Output dir: %s\r\n", outputDir.c_str());
+  fprintf(stderr, "  Output file: %s\r\n", outputFile.c_str());
+  fprintf(stderr, "  Input file: %s\r\n", inputFile.c_str());
+  fprintf(stderr, "  Building: %s\r\n", building ? "true" : "false");
+  fprintf(stderr, "  Skipping output: %s\r\n", skipOutput ? "true" : "false");
+  fprintf(stderr, "  Executing: %s\r\n", execute ? "true" : "false");
+
+  // Load the input file and execute
+  if (execute)
+  {
+    fprintf(
+      stderr, "Executing %s with %i threads\r\n", executionConfig.builds[0].c_str(), executionConfig.rc.threadCount);
+    load_and_run_gpu_code(executionConfig.builds[0], executionConfig.rc);
+    fprintf(stderr, "Execution Passed\r\n");
+    return 0;
+  }
+
+  // Linking exits and does nothing
+  if (!building)
+  {
+    return 0;
+  }
+
+  // Rebuild the output file template based on the filename
+  // Check for nul - do not write files
+  std::string outputTemplate;
+
+  if (outputDir.size() && outputFile.size())
+  {
+    outputTemplate = outputDir + "/" + outputFile;
+  }
+  else
+  {
+    outputTemplate = "temp";
+  }
+
+  // load input test file and prepend fakemain
+  std::string testCu = program + load_input_file(inputFile);
+
+  // Write any needed kernel launch data to file for later
+  RunConfig runConfig = parse_run_config(testCu);
+
+  nvrtcArguments.emplace_back("-DCCCL_ENABLE_ASSERTIONS");
+  if (!skipOutput)
+  {
+    std::ofstream ostr(outputTemplate + ".build.yml");
+    ostr << "cuda_thread_count: " << runConfig.threadCount << '\n';
+    ostr << "cuda_block_shmem_size: " << runConfig.shmemSize << '\n';
+
+    // Do a build for each arch and add it to the build list
+    ostr << "builds:\n";
+    for (const auto& build : buildList)
+    {
+      auto gpuCode            = nvrtc_build_prog(testCu, build, nvrtcArguments);
+      std::string gpuCodeFile = outputTemplate + "." + archString(build) + ".gpu";
+      write_output_file(gpuCode.data(), gpuCode.size(), gpuCodeFile);
+      ostr << "  - ";
+      ostr << '\'' << gpuCodeFile << '\'';
+      ostr << '\n';
+    }
+    ostr.close();
+  }
+  else
+  {
+    for (const auto& build : buildList)
+    {
+      auto gpuCode = nvrtc_build_prog(testCu, build, nvrtcArguments);
+    }
+  }
+
+  return 0;
+}

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/nvrtcc_build.h

@@ -0,0 +1,118 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of libcu++, the C++ Standard Library for your entire system,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#include <algorithm>
+#include <memory>
+#include <string>
+#include <vector>
+
+#include <cuda.h>
+#include <nvrtc.h>
+#include <stdio.h>
+
+#include "nvrtcc_common.h"
+
+inline bool enable_float128 = false;
+extern std::string inputFile;
+
+// Arch configs are strings and bools determining architecture and ptx/sass compilation
+using ArchConfig          = std::tuple<std::string, bool>;
+constexpr auto archString = [](const ArchConfig& a) -> const auto& {
+  return std::get<0>(a);
+};
+constexpr auto archId = [](const ArchConfig& a) -> int {
+  std::regex pattern("(?:compute_|sm_)(\\d+a?)");
+  std::smatch match;
+
+  if (!std::regex_search(archString(a), match, pattern))
+  {
+    fprintf(stderr, "Invalid arch string: %s\n", archString(a).c_str());
+    exit(1);
+  }
+  return std::stoi(match[1].str());
+};
+constexpr auto isArchReal = [](const ArchConfig& a) -> const auto& {
+  return std::get<1>(a);
+};
+
+using ArgList = std::vector<std::string>;
+
+using GpuProg = std::vector<char>;
+
+// Takes arguments for building a file and returns the path to the output file
+GpuProg nvrtc_build_prog(const std::string& testCu, const ArchConfig& config, const ArgList& argList)
+{
+  // Assemble arguments
+  std::vector<const char*> optList;
+
+  // Be careful with lifetimes here
+  std::for_each(argList.begin(), argList.end(), [&](const auto& it) {
+    optList.emplace_back(it.c_str());
+  });
+
+  // Use the translated architecture
+  std::string gpu_arch("--gpu-architecture=" + archString(config));
+  optList.emplace_back(gpu_arch.c_str());
+
+  if (enable_float128)
+  {
+    // __float128 is only supported on architectures >= 100
+    if (archId(config) >= 100)
+    {
+      optList.emplace_back("-device-float128");
+    }
+  }
+
+  fprintf(stderr, "NVRTC opt list:\r\n");
+  for (const auto& it : optList)
+  {
+    fprintf(stderr, "  %s\r\n", it);
+  }
+
+  fprintf(stderr, "Compiling program...\r\n");
+  nvrtcProgram prog;
+  NVRTC_SAFE_CALL(nvrtcCreateProgram(&prog, testCu.c_str(), inputFile.c_str(), 0, nullptr, nullptr));
+
+  nvrtcResult compile_result = nvrtcCompileProgram(prog, optList.size(), optList.data());
+
+  fprintf(stderr, "Collecting logs...\r\n");
+  size_t log_size;
+  NVRTC_SAFE_CALL(nvrtcGetProgramLogSize(prog, &log_size));
+
+  {
+    std::unique_ptr<char[]> log{new char[log_size]};
+    NVRTC_SAFE_CALL(nvrtcGetProgramLog(prog, log.get()));
+    printf("%s\r\n", log.get());
+  }
+
+  if (compile_result != NVRTC_SUCCESS)
+  {
+    exit(1);
+  }
+
+  size_t codeSize;
+  GpuProg code;
+
+  if (isArchReal(config))
+  {
+    NVRTC_SAFE_CALL(nvrtcGetCUBINSize(prog, &codeSize));
+    code.resize(codeSize);
+    NVRTC_SAFE_CALL(nvrtcGetCUBIN(prog, code.data()));
+  }
+  else
+  {
+    NVRTC_SAFE_CALL(nvrtcGetPTXSize(prog, &codeSize));
+    code.resize(codeSize);
+    NVRTC_SAFE_CALL(nvrtcGetPTX(prog, code.data()));
+  }
+  NVRTC_SAFE_CALL(nvrtcDestroyProgram(&prog));
+
+  return code;
+}

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/nvrtcc_common.h

@@ -0,0 +1,127 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of libcu++, the C++ Standard Library for your entire system,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#include <fstream>
+#include <iostream>
+#include <iterator>
+#include <regex>
+#include <string>
+#include <vector>
+
+#define NVRTC_SAFE_CALL(x)                                                                 \
+  do                                                                                       \
+  {                                                                                        \
+    nvrtcResult result = x;                                                                \
+    if (result != NVRTC_SUCCESS)                                                           \
+    {                                                                                      \
+      printf("\nNVRTC ERROR: %s failed with error %s\n", #x, nvrtcGetErrorString(result)); \
+      exit(1);                                                                             \
+    }                                                                                      \
+  } while (0)
+
+#define CUDA_SAFE_CALL(x)                                         \
+  do                                                              \
+  {                                                               \
+    CUresult result = x;                                          \
+    if (result != CUDA_SUCCESS)                                   \
+    {                                                             \
+      const char* msg;                                            \
+      cuGetErrorName(result, &msg);                               \
+      printf("\nCUDA ERROR: %s failed with error %s\n", #x, msg); \
+      exit(1);                                                    \
+    }                                                             \
+  } while (0)
+
+#define CUDA_API_CALL(x)                                                                \
+  do                                                                                    \
+  {                                                                                     \
+    cudaError_t err = x;                                                                \
+    if (err != cudaSuccess)                                                             \
+    {                                                                                   \
+      printf("\nCUDA ERROR: %s: %s\n", cudaGetErrorName(err), cudaGetErrorString(err)); \
+      exit(1);                                                                          \
+    }                                                                                   \
+  } while (0)
+
+static void write_output_file(const char* data, size_t datasz, const std::string& file)
+{
+  std::ofstream ostr(file, std::ios::binary);
+  assert(!!ostr);
+
+  ostr.write(data, datasz);
+  ostr.close();
+}
+
+static std::string load_input_file(const std::string& file)
+{
+  if (file == "-")
+  {
+    return std::string(std::istream_iterator<char>{std::cin}, std::istream_iterator<char>{});
+  }
+  else
+  {
+    std::ifstream istr(file);
+    assert(!!istr);
+    return std::string(std::istreambuf_iterator<char>{istr}, std::istreambuf_iterator<char>{});
+  }
+}
+
+static int parse_int_assignment(const std::string& input, std::string var, int def)
+{
+  auto lineBegin = input.find(var);
+  auto lineEnd   = input.find('\n', lineBegin);
+
+  if (lineBegin == std::string::npos || lineEnd == std::string::npos)
+  {
+    return def;
+  }
+
+  std::string line(input.begin() + lineBegin, input.begin() + lineEnd);
+  std::regex varRegex("^" + var + ".*?([0-9]+).*?$");
+  std::smatch match;
+  std::regex_match(line, match, varRegex);
+
+  if (match.size())
+  {
+    return std::stoi(match[1].str(), nullptr);
+  }
+
+  fprintf(stderr, "ERROR: Could not find an integer literal for '%s' on line '%s':\r\n", var.c_str(), line.c_str());
+  exit(1);
+
+  return def;
+}
+
+struct RunConfig
+{
+  int threadCount = 1;
+  int shmemSize   = 0;
+};
+
+static RunConfig parse_run_config(const std::string& input)
+{
+  return RunConfig{
+    parse_int_assignment(input, "cuda_thread_count", 1),
+    parse_int_assignment(input, "cuda_block_shmem_size", 0),
+  };
+}
+
+// Fake main for adapting kernels
+static const char* program = R"program(
+__host__ __device__ int fake_main(int argc, char ** argv);
+#define main fake_main
+
+// extern "C" to stop the name from being mangled
+extern "C" __global__ void main_kernel() {
+    fake_main(0, nullptr);
+}
+)program";

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/nvrtcc_run.h

@@ -0,0 +1,78 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of libcu++, the C++ Standard Library for your entire system,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#include <cuda.h>
+#include <cuda_runtime.h>
+#include <nvrtc.h>
+
+#include "nvrtcc_common.h"
+
+struct ExecutionConfig
+{
+  RunConfig rc;
+  std::vector<std::string> builds;
+};
+
+static ExecutionConfig load_execution_config_from_file(const std::string& file)
+{
+  std::vector<std::string> builds;
+  auto config = load_input_file(file);
+  std::regex config_regex("^ *- *'(.*gpu)'$");
+
+  fprintf(stderr, "Builds found: \r\n");
+
+  size_t line_begin = 0;
+  size_t line_end   = config.find('\n');
+  while (line_end != std::string::npos)
+  {
+    // Match any line with a .gpu file
+    // std::regex cannot handle multiline, so we need to make sure that's not included
+    std::string line(config.begin() + line_begin, config.begin() + line_end);
+    std::smatch match;
+    std::regex_match(line, match, config_regex);
+
+    if (match.size())
+    {
+      builds.emplace_back(match[1].str());
+    }
+
+    line_begin = line_end + 1;
+    line_end   = config.find('\n', line_begin);
+  }
+
+  return {parse_run_config(config), builds};
+}
+
+static void load_and_run_gpu_code(const std::string inputFile, const RunConfig& rc)
+{
+  std::ifstream istr(inputFile, std::ios::binary);
+  assert(!!istr);
+
+  std::vector<char> code(std::istreambuf_iterator<char>{istr}, std::istreambuf_iterator<char>{});
+  istr.close();
+
+  CUdevice cuDevice;
+  CUcontext context;
+  CUmodule module;
+  CUfunction kernel;
+
+  CUDA_SAFE_CALL(cuInit(0));
+  CUDA_SAFE_CALL(cuDeviceGet(&cuDevice, 0));
+  CUDA_SAFE_CALL(cuDevicePrimaryCtxRetain(&context, cuDevice));
+  CUDA_SAFE_CALL(cuCtxSetCurrent(context));
+  CUDA_SAFE_CALL(cuModuleLoadDataEx(&module, code.data(), 0, 0, 0));
+  CUDA_SAFE_CALL(cuModuleGetFunction(&kernel, module, "main_kernel"));
+  CUDA_SAFE_CALL(cuLaunchKernel(kernel, 1, 1, 1, rc.threadCount, 1, 1, rc.shmemSize, nullptr, nullptr, 0));
+
+  CUDA_API_CALL(cudaGetLastError());
+  CUDA_API_CALL(cudaDeviceSynchronize());
+
+  CUDA_SAFE_CALL(cuModuleUnload(module));
+}

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/utils/platform.h

@@ -0,0 +1,8 @@
+#pragma once
+
+#if defined(_MSC_VER)
+#  define WINDOWS_STUFF
+#  include "platform.win.h"
+#else
+#  include "platform.linux.h"
+#endif

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/utils/platform.linux.h

@@ -0,0 +1,8 @@
+#pragma once
+
+#include <unistd.h>
+
+static void platform_exec(char const* process, char** args, size_t)
+{
+  execvp(process, args);
+}

cccl_upstream/libcudacxx/test/utils/nvidia/nvrtc/utils/platform.win.h

@@ -0,0 +1,41 @@
+#pragma once
+
+#define WIN32_LEAN_AND_MEAN
+#include <string>
+
+#include <windows.h>
+
+static void platform_exec(char const* process, char** args, size_t nargs)
+{
+  std::string cl{};
+
+  STARTUPINFOA si{};
+  PROCESS_INFORMATION pi{};
+
+  si.cb = sizeof(si);
+
+  cl.append(process);
+
+  for (auto iter = args; iter < (args + nargs); iter++)
+  {
+    cl.append(" ");
+    cl.append(*iter);
+  }
+
+  printf("Running command: %s\r\n", cl.data());
+
+  bool exec_result =
+    CreateProcess(nullptr, (LPSTR) cl.data(), nullptr, nullptr, false, false, nullptr, nullptr, &si, &pi);
+
+  if (!exec_result)
+  {
+    printf("Launch error: %i", GetLastError());
+  }
+
+  WaitForSingleObject(pi.hProcess, INFINITE);
+
+  CloseHandle(pi.hProcess);
+  CloseHandle(pi.hThread);
+
+  ExitProcess(0);
+}