[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/c/parallel.v2/src/three_way_partition.cu

@@ -0,0 +1,193 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of CUDA Experimental in CUDA C++ Core Libraries,
+// 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) 2026 NVIDIA CORPORATION.
+//
+//===----------------------------------------------------------------------===//
+
+#include <cstdio>
+#include <cstring>
+
+#include <cccl/c/three_way_partition.h>
+#include <hostjit/codegen/cub_call.hpp>
+#include <hostjit/jit_compiler.hpp>
+#include <util/build_utils.h>
+
+using namespace hostjit::codegen;
+
+// CUB DevicePartition::If (three-way) generated signature:
+// (temp, bytes, d_in, first_out, second_out, unselected_out, num_selected_out,
+//  num_items, first_op_state, second_op_state, stream)
+using three_way_partition_fn_t =
+  int (*)(void*, size_t*, void*, void*, void*, void*, void*, unsigned long long, void*, void*, void*);
+
+// ---------------------------------------------------------------------------
+// Build
+// ---------------------------------------------------------------------------
+
+CUresult cccl_device_three_way_partition_build_ex(
+  cccl_device_three_way_partition_build_result_t* build_ptr,
+  cccl_iterator_t d_in,
+  cccl_iterator_t d_first_part_out,
+  cccl_iterator_t d_second_part_out,
+  cccl_iterator_t d_unselected_out,
+  cccl_iterator_t d_num_selected_out,
+  cccl_op_t select_first_part_op,
+  cccl_op_t select_second_part_op,
+  int cc_major,
+  int cc_minor,
+  const char* cub_path,
+  const char* thrust_path,
+  const char* libcudacxx_path,
+  const char* ctk_path,
+  cccl_build_config* config)
+try
+{
+  if (build_ptr == nullptr)
+  {
+    return CUDA_ERROR_INVALID_VALUE;
+  }
+  std::string cccl_include_str  = cccl::detail::parse_cccl_include_path(libcudacxx_path);
+  std::string ctk_root_str      = cccl::detail::parse_ctk_root(ctk_path);
+  const char* cccl_include_path = cccl_include_str.empty() ? nullptr : cccl_include_str.c_str();
+  const char* ctk_root          = ctk_root_str.empty() ? nullptr : ctk_root_str.c_str();
+  cccl::detail::MergedBuildConfig merged(config, cub_path, thrust_path);
+
+  // DevicePartition::If (three-way):
+  // (temp, bytes, d_in, d_first_part_out, d_second_part_out, d_unselected_out,
+  //  d_num_selected_out, num_items, select_first_op, select_second_op, stream)
+  auto result =
+    CubCall::from("cub/device/device_partition.cuh")
+      .run("cub::DevicePartition::If")
+      .name("cccl_jit_three_way_partition")
+      .with(temp_storage,
+            temp_bytes,
+            in(d_in),
+            out(d_first_part_out),
+            out(d_second_part_out),
+            out(d_unselected_out),
+            out(d_num_selected_out),
+            num_items,
+            pred(select_first_part_op, d_in.value_type),
+            pred(select_second_part_op, d_in.value_type),
+            stream)
+      .compile(cc_major, cc_minor, merged.get(), ctk_root, cccl_include_path);
+
+  build_ptr->cc = cc_major * 10 + cc_minor;
+  cccl::detail::copy_cubin(result.cubin, build_ptr->payload, build_ptr->payload_size);
+  build_ptr->jit_compiler           = result.compiler;
+  build_ptr->three_way_partition_fn = result.fn_ptr;
+
+  return CUDA_SUCCESS;
+}
+catch (const std::exception& exc)
+{
+  fprintf(stderr, "\nEXCEPTION in cccl_device_three_way_partition_build_ex(): %s\n", exc.what());
+  return CUDA_ERROR_UNKNOWN;
+}
+
+CUresult cccl_device_three_way_partition_build(
+  cccl_device_three_way_partition_build_result_t* build_ptr,
+  cccl_iterator_t d_in,
+  cccl_iterator_t d_first_part_out,
+  cccl_iterator_t d_second_part_out,
+  cccl_iterator_t d_unselected_out,
+  cccl_iterator_t d_num_selected_out,
+  cccl_op_t select_first_part_op,
+  cccl_op_t select_second_part_op,
+  int cc_major,
+  int cc_minor,
+  const char* cub_path,
+  const char* thrust_path,
+  const char* libcudacxx_path,
+  const char* ctk_path)
+{
+  return cccl_device_three_way_partition_build_ex(
+    build_ptr,
+    d_in,
+    d_first_part_out,
+    d_second_part_out,
+    d_unselected_out,
+    d_num_selected_out,
+    select_first_part_op,
+    select_second_part_op,
+    cc_major,
+    cc_minor,
+    cub_path,
+    thrust_path,
+    libcudacxx_path,
+    ctk_path,
+    nullptr);
+}
+
+// ---------------------------------------------------------------------------
+// Run
+// ---------------------------------------------------------------------------
+
+CUresult cccl_device_three_way_partition(
+  cccl_device_three_way_partition_build_result_t build,
+  void* d_temp_storage,
+  size_t* temp_storage_bytes,
+  cccl_iterator_t d_in,
+  cccl_iterator_t d_first_part_out,
+  cccl_iterator_t d_second_part_out,
+  cccl_iterator_t d_unselected_out,
+  cccl_iterator_t d_num_selected_out,
+  cccl_op_t select_first_part_op,
+  cccl_op_t select_second_part_op,
+  uint64_t num_items,
+  CUstream stream)
+try
+{
+  if (!build.three_way_partition_fn)
+  {
+    return CUDA_ERROR_INVALID_VALUE;
+  }
+
+  auto fn          = reinterpret_cast<three_way_partition_fn_t>(build.three_way_partition_fn);
+  const int status = fn(
+    d_temp_storage,
+    temp_storage_bytes,
+    d_in.state,
+    d_first_part_out.state,
+    d_second_part_out.state,
+    d_unselected_out.state,
+    d_num_selected_out.state,
+    static_cast<unsigned long long>(num_items),
+    select_first_part_op.state,
+    select_second_part_op.state,
+    reinterpret_cast<void*>(stream));
+
+  return (status == 0) ? CUDA_SUCCESS : CUDA_ERROR_UNKNOWN;
+}
+catch (const std::exception& exc)
+{
+  fprintf(stderr, "\nEXCEPTION in cccl_device_three_way_partition(): %s\n", exc.what());
+  return CUDA_ERROR_UNKNOWN;
+}
+
+// ---------------------------------------------------------------------------
+// Cleanup
+// ---------------------------------------------------------------------------
+
+CUresult cccl_device_three_way_partition_cleanup(cccl_device_three_way_partition_build_result_t* build_ptr)
+try
+{
+  if (build_ptr == nullptr)
+  {
+    return CUDA_ERROR_INVALID_VALUE;
+  }
+
+  cccl::detail::release_jit_artifacts(build_ptr);
+  build_ptr->three_way_partition_fn = nullptr;
+
+  return CUDA_SUCCESS;
+}
+catch (const std::exception& exc)
+{
+  fprintf(stderr, "\nEXCEPTION in cccl_device_three_way_partition_cleanup(): %s\n", exc.what());
+  return CUDA_ERROR_UNKNOWN;
+}