TransferBench.hpp

/*
Copyright (c) 2019-2023 Advanced Micro Devices, Inc. All rights reserved.

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*/

#include <vector>
#include <sstream>
#include <chrono>
#include <cstdio>
#include <cstdlib>
#include <cstdint>
#include <set>
#include <unistd.h>
#include <map>
#include <iostream>
#include <sstream>

#include "Compatibility.hpp"

// Helper macro for catching HIP errors
#define HIP_CALL(cmd)                                                                   \
    do {                                                                                \
        hipError_t error = (cmd);                                                       \
        if (error != hipSuccess)                                                        \
        {                                                                               \
            std::cerr << "Encountered HIP error (" << hipGetErrorString(error)          \
                      << ") at line " << __LINE__ << " in file " << __FILE__ << "\n";   \
            exit(-1);                                                                   \
        }                                                                               \
    } while (0)

#include "EnvVars.hpp"

// Simple configuration parameters
size_t const DEFAULT_BYTES_PER_TRANSFER = (1<<26);  // Amount of data transferred per Transfer

// Different src/dst memory types supported
typedef enum
{
  MEM_CPU          = 0, // Coarse-grained pinned CPU memory
  MEM_GPU          = 1, // Coarse-grained global GPU memory
  MEM_CPU_FINE     = 2, // Fine-grained pinned CPU memory
  MEM_GPU_FINE     = 3, // Fine-grained global GPU memory
  MEM_CPU_UNPINNED = 4, // Unpinned CPU memory
  MEM_NULL         = 5, // NULL memory - used for empty
} MemType;

typedef enum
{
  EXE_CPU          = 0, // CPU executor              (subExecutor = CPU thread)
  EXE_GPU_GFX      = 1, // GPU kernel-based executor (subExecutor = threadblock/CU)
  EXE_GPU_DMA      = 2, // GPU SDMA-based executor   (subExecutor = streams)
} ExeType;

bool IsGpuType(MemType m) { return (m == MEM_GPU || m == MEM_GPU_FINE); }
bool IsCpuType(MemType m) { return (m == MEM_CPU || m == MEM_CPU_FINE || m == MEM_CPU_UNPINNED); };
bool IsGpuType(ExeType e) { return (e == EXE_GPU_GFX || e == EXE_GPU_DMA); };
bool IsCpuType(ExeType e) { return (e == EXE_CPU); };

char const MemTypeStr[7] = "CGBFUN";
char const ExeTypeStr[4] = "CGD";
char const ExeTypeName[3][4] = {"CPU", "GPU", "DMA"};

MemType inline CharToMemType(char const c)
{
  char const* val = strchr(MemTypeStr, toupper(c));
  if (*val) return (MemType)(val - MemTypeStr);
  printf("[ERROR] Unexpected memory type (%c)\n", c);
  exit(1);
}

ExeType inline CharToExeType(char const c)
{
  char const* val = strchr(ExeTypeStr, toupper(c));
  if (*val) return (ExeType)(val - ExeTypeStr);
  printf("[ERROR] Unexpected executor type (%c)\n", c);
  exit(1);
}

// Each Transfer performs reads from source memory location(s), sums them (if multiple sources are specified)
// then writes the summation to each of the specified destination memory location(s)
struct Transfer
{
  int                       transferIndex;      // Transfer identifier (within a Test)
  ExeType                   exeType;            // Transfer executor type
  int                       exeIndex;           // Executor index (NUMA node for CPU / device ID for GPU)
  int                       numSubExecs;        // Number of subExecutors to use for this Transfer
  size_t                    numBytes;           // # of bytes requested to Transfer (may be 0 to fallback to default)
  size_t                    numBytesActual;     // Actual number of bytes to copy
  double                    transferTime;       // Time taken in milliseconds

  int                       numSrcs;            // Number of sources
  std::vector<MemType>      srcType;            // Source memory types
  std::vector<int>          srcIndex;           // Source device indice
  std::vector<float*>       srcMem;             // Source memory

  int                       numDsts;            // Number of destinations
  std::vector<MemType>      dstType;            // Destination memory type
  std::vector<int>          dstIndex;           // Destination device index
  std::vector<float*>       dstMem;             // Destination memory

  std::vector<SubExecParam> subExecParam;       // Defines subarrays assigned to each threadblock
  SubExecParam*             subExecParamGpuPtr; // Pointer to GPU copy of subExecParam

  std::vector<double>       perIterationTime;   // Per-iteration timing

  // Prepares src/dst subarray pointers for each SubExecutor
  void PrepareSubExecParams(EnvVars const& ev);

  // Prepare source arrays with input data
  bool PrepareSrc(EnvVars const& ev);

  // Validate that destination data contains expected results
  void ValidateDst(EnvVars const& ev);

  // Prepare reference buffers
  void PrepareReference(EnvVars const& ev, std::vector<float>& buffer, int bufferIdx);

  // String representation functions
  std::string SrcToStr() const;
  std::string DstToStr() const;
};

struct ExecutorInfo
{
  std::vector<Transfer*>   transfers;        // Transfers to execute
  size_t                   totalBytes;       // Total bytes this executor transfers
  int                      totalSubExecs;    // Total number of subExecutors to use

  // For GPU-Executors
  SubExecParam*            subExecParamGpu;  // GPU copy of subExecutor parameters
  std::vector<hipStream_t> streams;
  std::vector<hipEvent_t>  startEvents;
  std::vector<hipEvent_t>  stopEvents;

  // Results
  double totalTime;
};

typedef std::pair<ExeType, int> Executor;
typedef std::map<Executor, ExecutorInfo> TransferMap;

// Display usage instructions
void DisplayUsage(char const* cmdName);

// Display detected GPU topology / CPU numa nodes
void DisplayTopology(bool const outputToCsv);

// Build array of test sizes based on sampling factor
void PopulateTestSizes(size_t const numBytesPerTransfer, int const samplingFactor,
                       std::vector<size_t>& valuesofN);

void ParseMemType(std::string const& token, int const numCpus, int const numGpus,
                  std::vector<MemType>& memType, std::vector<int>& memIndex);
void ParseExeType(std::string const& token, int const numCpus, int const numGpus,
                  ExeType& exeType, int& exeIndex);

void ParseTransfers(char* line, int numCpus, int numGpus,
                    std::vector<Transfer>& transfers);

void ExecuteTransfers(EnvVars const& ev, int const testNum, size_t const N,
                      std::vector<Transfer>& transfers, bool verbose = true,
                      double* totalBandwidthCpu = nullptr);

void EnablePeerAccess(int const deviceId, int const peerDeviceId);
void AllocateMemory(MemType memType, int devIndex, size_t numBytes, void** memPtr);
void DeallocateMemory(MemType memType, void* memPtr, size_t const size = 0);
void CheckPages(char* byteArray, size_t numBytes, int targetId);
void RunTransfer(EnvVars const& ev, int const iteration, ExecutorInfo& exeInfo, int const transferIdx);
void RunPeerToPeerBenchmarks(EnvVars const& ev, size_t N);
void RunScalingBenchmark(EnvVars const& ev, size_t N, int const exeIndex, int const maxSubExecs);
void RunSweepPreset(EnvVars const& ev, size_t const numBytesPerTransfer, int const numGpuSubExec, int const numCpuSubExec, bool const isRandom);
void RunAllToAllBenchmark(EnvVars const& ev, size_t const numBytesPerTransfer, int const numSubExecs);

std::string GetLinkTypeDesc(uint32_t linkType, uint32_t hopCount);

int RemappedIndex(int const origIdx, bool const isCpuType);
int GetWallClockRate(int deviceId);
void LogTransfers(FILE *fp, int const testNum, std::vector<Transfer> const& transfers);
std::string PtrVectorToStr(std::vector<float*> const& strVector, int const initOffset);