Fichiers
rocm-systems/rocclr/runtime/device/gpu/gpuwavelimiter.hpp
T
foreman 8fe485de95 P4 to Git Change 1177724 by jatang@jatang-opencl-hsa-stg1 on 2015/08/06 09:59:33
EPR #424562 - Add Averaging algorithm to Wave Limiter.

	1. Extract the algorithms to a sub-class of the wave limiter class.
	2. Add Averaging algorithm

	This averaging algorithm typically improves performance of BasemarkCL wave simulation by 8% on Tonga/Fiji than the current smooth algorithm. This change has not enable the averaging algorithm yet. Follow-up changes should be made to intelligently select which algorithm to use.

Affected files ...

... //depot/stg/opencl/drivers/opencl/runtime/device/gpu/gpuwavelimiter.cpp#7 edit
... //depot/stg/opencl/drivers/opencl/runtime/device/gpu/gpuwavelimiter.hpp#4 edit
2015-08-06 10:19:59 -04:00

155 lignes
4.8 KiB
C++

//
// Copyright (c) 2008 Advanced Micro Devices, Inc. All rights reserved.
//
#ifndef GPUWAVELIMITER_HPP_
#define GPUWAVELIMITER_HPP_
#include "platform/command.hpp"
#include "thread/thread.hpp"
#include <cstdio>
#include <cstdlib>
#include <cstdint>
#include <fstream>
#include <unordered_map>
//! \namespace gpu GPU Device Implementation
namespace gpu {
class Kernel;
// Adaptively limit the number of waves per SIMD based on kernel execution time
class WaveLimiter: public amd::ProfilingCallback {
public:
explicit WaveLimiter(Kernel*, uint seqNum, bool enable, bool enableDump);
virtual ~WaveLimiter();
//! Get waves per shader array to be used for kernel execution.
uint getWavesPerSH();
protected:
enum StateKind {
WARMUP, ADAPT, RUN
};
class DataDumper {
public:
explicit DataDumper(const std::string &kernelName, bool enable);
~DataDumper();
//! Record execution time, waves/simd and state of wave limiter.
void addData(ulong time, uint wave, char state);
//! Whether this data dumper is enabled.
bool enabled() const { return enable_;}
private:
bool enable_;
std::string fileName_;
std::vector<ulong> time_;
std::vector<uint> wavePerSIMD_;
std::vector<char> state_;
};
std::vector<ulong> measure_;
bool enable_;
uint SIMDPerSH_; // Number of SIMDs per SH
uint waves_; // Waves per SIMD to be set
uint bestWave_; // Optimal waves per SIMD
uint countAll_; // Number of kernel executions
StateKind state_;
Kernel *owner_;
DataDumper dumper_;
std::ofstream traceStream_;
uint currWaves_; // Current waves per SIMD
static uint MaxWave; // Maximum number of waves per SIMD
static uint WarmUpCount; // Number of kernel executions for warm up
static uint RunCount; // Number of kernel executions for normal run
//! Call back from Event::recordProfilingInfo to get execution time.
virtual void callback(ulong duration)=0;
//! Output trace of measurement/adaptation.
virtual void outputTrace()=0;
template<class T> void clear(T& A) {
for (auto &I : A) {
I = 0;
}
}
template<class T> void output(std::ofstream &ofs, const std::string &prompt,
T& A) {
ofs << prompt;
for (auto &I : A) {
ofs << ' ' << static_cast<ulong>(I);
}
}
};
class WLAlgorithmSmooth: public WaveLimiter {
public:
explicit WLAlgorithmSmooth(Kernel* owner, uint seqNum, bool enable, bool enableDump);
virtual ~WLAlgorithmSmooth();
private:
std::vector<ulong> reference_;
std::vector<ulong> trial_;
std::vector<ulong> ratio_;
bool discontinuous_; // Measured data is discontinuous
uint dynRunCount_;
uint dataCount_;
static uint AdaptCount; // Number of kernel executions for adapting
static uint AbandonThresh; // Threshold to abandon adaptation
static uint DscThresh; // Threshold for identifying discontinuities
//! Update measurement data and optimal waves/simd with execution time.
void updateData(ulong time);
//! Clear measurement data for the next adaptation.
void clearData();
//! Call back from Event::recordProfilingInfo to get execution time.
void callback(ulong duration);
//! Output trace of measurement/adaptation.
void outputTrace();
};
class WLAlgorithmAvrg: public WaveLimiter {
public:
explicit WLAlgorithmAvrg(Kernel* owner, uint seqNum, bool enable, bool enableDump);
virtual ~WLAlgorithmAvrg();
private:
//! Call back from Event::recordProfilingInfo to get execution time.
void callback(ulong duration);
//! Output trace of measurement/adaptation.
void outputTrace();
};
// Create wave limiter for each virtual device for a kernel and manages the wave limiters.
class WaveLimiterManager {
public:
explicit WaveLimiterManager(Kernel* owner);
virtual ~WaveLimiterManager();
//! Get waves per shader array for a specific virtual device.
uint getWavesPerSH(const device::VirtualDevice *) const;
//! Provide call back function for a specific virtual device.
amd::ProfilingCallback* getProfilingCallback(const device::VirtualDevice *);
//! Enable wave limiter manager by kernel metadata and flags.
void enable();
private:
Kernel *owner_; // The kernel which owns this object
std::unordered_map<const device::VirtualDevice *,
WaveLimiter*> limiters_; // Maps virtual device to wave limiter
bool enable_; // Whether the adaptation is enabled
bool enableDump_; // Whether the data dumper is enabled
uint fixed_; // The fixed waves/simd value if not zero
amd::Monitor monitor_; // The mutex for updating the wave limiter map
};
}
#endif