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332 changes: 332 additions & 0 deletions examples/ccl/scatter.cc
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/**
* InfiniCCL Example: Thread-per-GPU Single-Node Scatter
*
* This example creates one native CCL rank per GPU and scatters one distinct
* block from rank 0 to every rank using grouped point-to-point operations.
*/

#include <unistd.h>

#include <algorithm>
#include <array>
#include <atomic>
#include <charconv>
#include <cmath>
#include <cstdlib>
#include <cstring>
#include <iomanip>
#include <iostream>
#include <limits>
#include <string>
#include <system_error>
#include <thread>
#include <vector>

// Public API
#include "infiniccl.h"

// Example-Specific Utilities
#include "utils.h"

// Internal Headers (Accessible via example-specific include paths, technically
// not public APIs)
#include "backend_manifest.h"

using namespace infini::ccl;

namespace {

constexpr int kRoot = 0;

struct ScenarioState {
std::atomic<bool> correct{true};
std::atomic<int> completed{0};
std::vector<float> samples;

explicit ScenarioState(int world_size)
: samples(static_cast<size_t>(world_size), 0.0f) {}
};

struct ThreadArgs {
int rank;
int size;
infinicclUniqueId id;
size_t num_elements;
int warmup_iterations;
int profile_iterations;
ScenarioState *state;
};

template <typename T>
bool ParsePositiveNumber(const char *text, T *value) {
if (!text || !value) {
return false;
}

T parsed{};
const char *end = text + std::strlen(text);
const auto result = std::from_chars(text, end, parsed);
if (result.ec != std::errc{} || result.ptr != end || parsed <= 0) {
return false;
}

*value = parsed;
return true;
}

void FillScatterInput(std::vector<float> *input, size_t num_elements,
int world_size) {
for (int destination = 0; destination < world_size; ++destination) {
const size_t offset = static_cast<size_t>(destination) * num_elements;
std::fill_n(input->begin() + offset, num_elements,
static_cast<float>(destination + 1));
}
}

void PrintScatterMetrics(size_t num_elements, int world_size,
double elapsed_ms) {
constexpr double kBytesPerMiB = 1024.0 * 1024.0;
constexpr double kBytesPerGB = 1.0e9;
const double rank_bytes = static_cast<double>(num_elements) * sizeof(float);
const double total_bytes = rank_bytes * static_cast<double>(world_size);
const auto original_flags = std::cout.flags();
const auto original_precision = std::cout.precision();

std::cout << "Data size per rank: " << num_elements << " floats ("
<< std::fixed << std::setprecision(2) << rank_bytes / kBytesPerMiB
<< " MiB)" << std::endl;
std::cout << "Total data at root: "
<< num_elements * static_cast<size_t>(world_size) << " floats ("
<< total_bytes / kBytesPerMiB << " MiB)" << std::endl;
std::cout << "Time: " << std::setprecision(3) << elapsed_ms << " ms"
<< std::endl;
if (elapsed_ms > 0.0 && std::isfinite(elapsed_ms)) {
const double algorithm_bandwidth =
total_bytes / kBytesPerGB / (elapsed_ms / 1000.0);
const double bus_bandwidth = algorithm_bandwidth *
static_cast<double>(world_size - 1) /
static_cast<double>(world_size);
std::cout << "Throughput: " << std::setprecision(2) << bus_bandwidth
<< " GB/s (Bus BW)" << std::endl;
std::cout << "Alg Bandwidth: " << algorithm_bandwidth << " GB/s"
<< std::endl;
} else {
std::cout << "Throughput: N/A (Bus BW)" << std::endl;
std::cout << "Alg Bandwidth: N/A" << std::endl;
}

std::cout.flags(original_flags);
std::cout.precision(original_precision);
}

void WaitForAll(ScenarioState *state, int world_size) {
state->completed.fetch_add(1, std::memory_order_acq_rel);
while (state->completed.load(std::memory_order_acquire) < world_size) {
std::this_thread::yield();
}
}

void PrintResult(bool correct, const std::vector<float> &samples,
size_t num_elements, int world_size, double elapsed_ms) {
constexpr const char *kGreen = "\033[32m";
constexpr const char *kRed = "\033[31m";
constexpr const char *kReset = "\033[0m";

std::cout << "\n=== CCL Scatter Results ===" << std::endl;
std::cout << "Correct: "
<< (correct ? (kGreen + std::string("YES") + kReset)
: (kRed + std::string("NO") + kReset))
<< std::endl;
std::cout << "Root rank: " << kRoot << std::endl;
std::cout << "Sample receive blocks: ";
for (int rank = 0; rank < std::min(world_size, 4); ++rank) {
std::cout << "[r" << rank << ": " << samples[static_cast<size_t>(rank)]
<< "] ";
}
std::cout << std::endl;
PrintScatterMetrics(num_elements, world_size, elapsed_ms);
}

void WorkerThread(ThreadArgs args) {
constexpr Device::Type kDevType =
ListGetBest<DevicePriority>(EnabledDevices{});
using Rt = Runtime<kDevType>;

CHECK_RT(Rt, Rt::SetDevice(args.rank));

std::array<char, 256> hostname{};
if (gethostname(hostname.data(), hostname.size()) != 0) {
std::cerr << "Failed to query the hostname for the Scatter worker."
<< std::endl;
std::exit(EXIT_FAILURE);
}
hostname.back() = '\0';
std::cout << "[Rank " << args.rank << "] Host: " << hostname.data()
<< " | GPU: " << Device::StringFromType(kDevType) << " | Device "
<< args.rank << std::endl;

infinicclComm_t comm = nullptr;
CHECK_INFINI(infinicclCommInitRank(&comm, args.size, args.id, args.rank));

const size_t rank_bytes = args.num_elements * sizeof(float);
const size_t total_elements =
args.num_elements * static_cast<size_t>(args.size);
const size_t total_bytes = total_elements * sizeof(float);
std::vector<float> h_send;
if (args.rank == kRoot) {
h_send.resize(total_elements, 0.0f);
FillScatterInput(&h_send, args.num_elements, args.size);
}
std::vector<float> h_recv(args.num_elements, 0.0f);

float *d_send = nullptr;
float *d_recv = nullptr;
if (args.rank == kRoot) {
CHECK_RT(Rt, Rt::Malloc(reinterpret_cast<void **>(&d_send), total_bytes));
CHECK_RT(Rt, Rt::Memcpy(d_send, h_send.data(), total_bytes,
Rt::MemcpyHostToDevice));
}
CHECK_RT(Rt, Rt::Malloc(reinterpret_cast<void **>(&d_recv), rank_bytes));
CHECK_RT(Rt, Rt::StreamSynchronize(nullptr));

for (int i = 0; i < args.warmup_iterations; ++i) {
CHECK_INFINI(infinicclScatter(d_send, d_recv, args.num_elements,
infinicclFloat32, kRoot, comm, nullptr));
}
CHECK_RT(Rt, Rt::StreamSynchronize(nullptr));

Timer timer;
for (int i = 0; i < args.profile_iterations; ++i) {
CHECK_INFINI(infinicclScatter(d_send, d_recv, args.num_elements,
infinicclFloat32, kRoot, comm, nullptr));
}
CHECK_RT(Rt, Rt::StreamSynchronize(nullptr));
const double elapsed_ms =
timer.ElapsedMs() / static_cast<double>(args.profile_iterations);

CHECK_RT(Rt, Rt::Memcpy(h_recv.data(), d_recv, rank_bytes,
Rt::MemcpyDeviceToHost));
CHECK_RT(Rt, Rt::StreamSynchronize(nullptr));
const bool local_correct =
Validator::ValidateResult(h_recv.data(), args.num_elements,
static_cast<float>(args.rank + 1), args.rank);
args.state->samples[static_cast<size_t>(args.rank)] = h_recv.front();
if (!local_correct) {
args.state->correct.store(false, std::memory_order_release);
}

WaitForAll(args.state, args.size);
if (args.rank == kRoot) {
PrintResult(args.state->correct.load(std::memory_order_acquire),
args.state->samples, args.num_elements, args.size, elapsed_ms);
}

if (args.rank == kRoot) {
CHECK_RT(Rt, Rt::Free(d_send));
}
CHECK_RT(Rt, Rt::Free(d_recv));
CHECK_INFINI(infinicclCommDestroy(comm));
}

void PrintUsage(const char *program) {
std::cout << "Usage: " << program << " [options]\n"
<< "Options:\n"
<< " -g <num_gpus> Number of GPUs (default: 8)\n"
<< " -w <warmup_iters> Warmup iterations (default: 2)\n"
<< " -p <profile_iters> Profile iterations (default: 20)\n"
<< " -n <num_elements> Elements sent to each rank "
"(default: 1048576)\n";
}

} // namespace

int main(int argc, char **argv) {
int num_gpus = 8;
int warmup_iterations = 2;
int profile_iterations = 20;
size_t num_elements = 1 << 20;

int opt = 0;
while ((opt = getopt(argc, argv, "g:w:p:n:h")) != -1) {
bool parsed = false;
switch (opt) {
case 'g':
parsed = ParsePositiveNumber(optarg, &num_gpus);
break;
case 'w':
parsed = ParsePositiveNumber(optarg, &warmup_iterations);
break;
case 'p':
parsed = ParsePositiveNumber(optarg, &profile_iterations);
break;
case 'n':
parsed = ParsePositiveNumber(optarg, &num_elements);
break;
case 'h':
PrintUsage(argv[0]);
return EXIT_SUCCESS;
default:
PrintUsage(argv[0]);
return EXIT_FAILURE;
}

if (!parsed) {
std::cerr << "Invalid positive numeric option for Scatter." << std::endl;
return EXIT_FAILURE;
}
}

if (optind != argc) {
std::cerr << "Unexpected positional argument for Scatter." << std::endl;
return EXIT_FAILURE;
}
if (static_cast<size_t>(num_gpus) >
std::numeric_limits<size_t>::max() / num_elements ||
num_elements * static_cast<size_t>(num_gpus) >
std::numeric_limits<size_t>::max() / sizeof(float)) {
std::cerr << "Scatter buffer size overflows `size_t`." << std::endl;
return EXIT_FAILURE;
}

std::array<char, 256> hostname{};
if (gethostname(hostname.data(), hostname.size()) != 0) {
std::cerr << "Failed to query the hostname for Scatter." << std::endl;
return EXIT_FAILURE;
}
hostname.back() = '\0';
std::cout << "[Main Process] Host: " << hostname.data()
<< " | Target GPUs: " << num_gpus << std::endl;
std::cout << "[Main Process] Elements per rank: " << num_elements
<< " floats | Warmup: " << warmup_iterations
<< " | Profile: " << profile_iterations << std::endl;

infinicclUniqueId shared_id{};
CHECK_INFINI(infinicclGetUniqueId(&shared_id));

ScenarioState state(num_gpus);
std::vector<std::thread> threads;
threads.reserve(num_gpus);
for (int rank = 0; rank < num_gpus; ++rank) {
ThreadArgs args{rank, num_gpus, shared_id,
num_elements, warmup_iterations, profile_iterations,
&state};
threads.emplace_back(WorkerThread, args);
}

for (auto &thread : threads) {
if (thread.joinable()) {
thread.join();
}
}

const bool correct = state.correct.load(std::memory_order_acquire);
if (correct) {
std::cout << "[Main Process] CCL Scatter validation passed." << std::endl;
} else {
std::cerr << "[Main Process] CCL Scatter validation failed." << std::endl;
}
std::cout
<< "[Main Process] All worker threads joined. InfiniCCL finalized safely."
<< std::endl;
return correct ? EXIT_SUCCESS : EXIT_FAILURE;
}
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