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Rework of metrics and documentation for Omniperf profiling (#224)
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* add updated metrics

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* update analyze utilities

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add updated images

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add updated samples

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add updated docs

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* updated perfmon / soc params

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add nick to authors

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add examples to readme

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add vmem/smem latencies from upstream, and document

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* add warning about stall metrics

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

* Update licenses

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* Update license on vcopy

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>

---------

Signed-off-by: Nicholas Curtis <nicurtis@amd.com>
Co-authored-by: Nicholas Curtis <nicurtis@amd.com>
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skyreflectedinmirrors and Nicholas Curtis authored Jan 29, 2024
1 parent 435aa2b commit d27a415
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1 change: 1 addition & 0 deletions AUTHORS
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Expand Up @@ -9,3 +9,4 @@ Cole Ramos
Fei Zheng
Jose Santos
Karl Schultz
Nicholas Curtis
5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -23,6 +23,11 @@ contribution process.

* Licensing information can be found in the [LICENSE](LICENSE) file.

## Examples
A set of guided exercises demonstrating kernel optimization using Omniperf can be found in the [amd/HPCTrainingExamples](https://github.com/amd/HPCTrainingExamples/tree/main/OmniperfExamples) repo.



## Development

Omniperf follows a
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17 changes: 17 additions & 0 deletions sample/common.h
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#pragma once

#include <hip/hip_runtime.h>
#include <iostream>

#define hipCheck(stmt) \
do { \
hipError_t err = stmt; \
if (err != hipSuccess) { \
char msg[256]; \
sprintf(msg, "%s in file %s, function %s, line %d\n", #stmt, __FILE__, \
__FUNCTION__, __LINE__); \
std::string errstring = hipGetErrorString(err); \
std::cerr << msg << "\t" << errstring << std::endl; \
throw std::runtime_error(msg); \
} \
} while (0)
315 changes: 315 additions & 0 deletions sample/fabric.hip
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/*
##############################################################################bl
# MIT License
#
# Copyright (c) 2021 - 2023 Advanced Micro Devices, Inc. All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
##############################################################################el



A data-fabric exerciser example, written by Nicholas Curtis [AMD]

The test allows the user to control the:
- The granularity of an allocation (Coarse vs Fine-grained),
- The owner of an allocation (local HBM, CPU DRAM or remote HBM),
- The size of an allocation (the default is ~4GiB), and
- The type of operation we are executing (read, write, atomics of various flavors)

This lets the user explore the impact of these choices on the generated
data-fabric traffic.
*/


#include <getopt.h>
#include <hip/hip_runtime.h>

#include <iostream>
#include <vector>

#include "common.h"

enum class mtype : int { FineGrained = 0, CoarseGrained = 1, Undef = 3 };
enum class mowner : int { Device = 0, Host = 1, Remote = 2, Undef = 3 };
enum class mspace : int { Global = 0, Undef = 1 };
enum class mop : int {
Read = 0,
Write = 1,
AtomicAdd = 2,
AtomicCas = 3,
AtomicOr = 4,
AtomicMax = 5,
Undef = 6
};
enum class mdata : int { Unsigned = 0, UnsignedLong = 1, Float = 2, Double = 3, Undef = 4 };

template<typename T>
T parse(const char* value) {
int ivalue = std::atoi(value);
if (ivalue < 0 || ivalue >= int(T::Undef)) {
throw std::runtime_error("bad enum value!");
}
return T(ivalue);
}

void parse(int argc, char** argv, mtype& mytype, mowner& myowner,
mspace& myspace, size_t& size, mop& myop, mdata& mydata,
int& remoteId) {
while (1) {
static struct option long_options[] = {
/* These options set a flag. */
{"type", required_argument, 0, 't'},
{"owner", required_argument, 0, 'o'},
{"size", required_argument, 0, 'z'},
{"op", required_argument, 0, 'p'},
{"remote", required_argument, 0, 'r'},
{"data", required_argument, 0, 'd'},
{0, 0, 0, 0}};
/* getopt_long stores the option index here. */
int option_index = 0;

int c =
getopt_long(argc, argv, "t:o:z:p:r:d:", long_options, &option_index);

/* Detect the end of the options. */
if (c == -1) break;

switch (c) {
case 't':
mytype = parse<mtype>(optarg);
break;

case 'o':
myowner = parse<mowner>(optarg);
break;

case 'z':
size = std::atoll(optarg);
break;

case 'p':
myop = parse<mop>(optarg);
break;

case 'r':
remoteId = std::atoi(optarg);
break;

case 'd':
mydata = parse<mdata>(optarg);
break;

case '?':
/* getopt_long already printed an error message. */
break;

default:
abort();
}
}
std::cout << "Using: " << std::endl;
std::cout << "\tmtype:"
<< ((mytype == mtype::FineGrained) ? "FineGrained"
: "CoarseGrained")
<< std::endl;
std::cout << "\tmowner:"
<< ((myowner == mowner::Device)
? "Device"
: ((myowner == mowner::Host) ? "Host" : "Remote"))
<< std::endl;
std::cout << "\tmspace:Global" << std::endl;
std::cout << "\tmop:" << ((myop == mop::Read) ? "Read" : (myop == mop::Write ? "Write" : (myop == mop::AtomicAdd ? "Add" : (myop == mop::AtomicCas ? "CAS" : (myop == mop::AtomicOr ? "Or" : "Max"))))) << std::endl;
std::cout << "\tmdata:" << (mydata == mdata::Unsigned ? "Unsigned" : (mydata == mdata::UnsignedLong ? "Unsigned Long" : (mydata == mdata::Float ? "Float" : "Double"))) << std::endl;
std::cout << "\tremoteId:" << remoteId << std::endl;
}

// dummy intialization kernel
__global__ void init() {}

template <typename T>
void alloc(mtype memory, mowner owner, T** ptr, size_t Nbytes, int devId,
int remoteId) {
bool is_device = (owner == mowner::Device) || (owner == mowner::Remote);
if (owner == mowner::Remote) {
// enable remote access
hipCheck(hipDeviceEnablePeerAccess(remoteId, 0));
// set id for alloc
hipCheck(hipSetDevice(remoteId));
}
init<<<1, 1>>>();

if (memory == mtype::FineGrained && is_device) {
hipCheck(
hipExtMallocWithFlags((void**)ptr, Nbytes, hipDeviceMallocFinegrained));
} else if (memory == mtype::CoarseGrained && is_device) {
hipCheck(hipMalloc(ptr, Nbytes));
} else if (memory == mtype::FineGrained && owner == mowner::Host) {
hipCheck(hipHostMalloc(ptr, Nbytes, hipHostMallocCoherent));
} else if (memory == mtype::CoarseGrained && owner == mowner::Host) {
hipCheck(hipHostMalloc(ptr, Nbytes, hipHostMallocNonCoherent));
} else {
assert(false && "unknown combo");
}

// set to random
std::vector<T> host(Nbytes / sizeof(T), T(0));
hipCheck(hipMemcpy(*ptr, &host[0], Nbytes,
(is_device ? hipMemcpyHostToDevice : hipMemcpyHostToHost)));

if (owner == mowner::Remote) {
// reset id for execution
hipCheck(hipSetDevice(devId));
}
}

template <typename T>
void release(mtype memory, mowner owner, T* ptr) {
bool is_device = (owner == mowner::Device) || (owner == mowner::Remote);
if (memory == mtype::FineGrained && is_device) {
hipCheck(hipFree(ptr));
} else if (memory == mtype::CoarseGrained && is_device) {
hipCheck(hipFree(ptr));
} else if (memory == mtype::FineGrained && owner == mowner::Host) {
hipCheck(hipHostFree(ptr));
} else if (memory == mtype::CoarseGrained && owner == mowner::Host) {
hipCheck(hipHostFree(ptr));
} else {
assert(false && "unknown combo");
}
}

// the main streaming kernel
template <mop op, typename T, int repeats = 10>
__global__ void kernel(T* x, size_t N, T zero, T foo) {
int sum = 0;
const size_t offset_start = threadIdx.x + blockIdx.x * blockDim.x;
for (int i = 0; i < repeats; ++i) {
for (size_t offset = offset_start; offset < N;
offset += blockDim.x * gridDim.x) {
T uniq = (foo + offset) + i;
if constexpr (op == mop::Read) {
sum += x[offset];
} else if constexpr (op == mop::Write) {
x[offset] = (T)offset;
} else if constexpr (op == mop::AtomicAdd) {
atomicAdd(&x[offset], uniq);
} else if constexpr (op == mop::AtomicCas) {
atomicCAS(&x[offset], uniq, uniq);
} else if constexpr (op == mop::AtomicOr) {
atomicOr(&x[offset], uniq);
} else if constexpr (op == mop::AtomicMax) {
atomicMax(&x[offset], uniq);
}
}
}
if constexpr (op == mop::Read) {
if (sum != 0) {
x[offset_start] = sum;
}
}
}

template <mop op, typename T, int nrepeats = 10>
void run_kernel(T* x, size_t size) {
if constexpr (op == mop::AtomicOr && std::is_floating_point_v<T>) {
throw std::runtime_error("bad");
} else {
kernel<op, T, nrepeats><<<4096, 1024>>>(x, size, 0, T(23456789));
// then run once for data collection
kernel<op, T, nrepeats><<<4096, 1024>>>(x, size, 0, T(23456789));
}
}

template <mop op, typename T>
void run_atomic(mowner myowner, T* x, size_t size) {
if (myowner == mowner::Host) {
// speed it up
run_kernel<op, T, 1>(x, size / 10);
} else {
run_kernel<op, T>(x, size);
}
}

template <typename T>
void run(mtype mytype, mspace myspace, mowner myowner, mop myop, int remoteId,
size_t size) {
int devId = 0;
if (myowner == mowner::Remote && remoteId == -1) {
// need to find a remote GPU
int ndevices;
hipCheck(hipGetDeviceCount(&ndevices));
if (ndevices <= 1) {
throw std::runtime_error(
"Need >=2 devices available for mowner = Remote");
}
for (int i = 0; i < ndevices; ++i) {
if (i != devId) {
remoteId = i;
break;
}
}
}

T* x;
alloc(mytype, myowner, &x, size * sizeof(T), devId, remoteId);

// run the kernel once for warmup
assert(4096 * 1024 < size);
if (myop == mop::Read) {
run_kernel<mop::Read>(x, size);
} else if (myop == mop::Write) {
run_kernel<mop::Write>(x, size);
} else if (myop == mop::AtomicAdd) {
run_atomic<mop::AtomicAdd>(myowner, x, size);
} else if (myop == mop::AtomicCas) {
run_atomic<mop::AtomicCas>(myowner, x, size);
} else if (myop == mop::AtomicOr) {
run_atomic<mop::AtomicOr>(myowner, x, size);
} else if (myop == mop::AtomicMax) {
run_atomic<mop::AtomicMax>(myowner, x, size);
} else {
throw std::runtime_error("bad");
}
hipCheck(hipDeviceSynchronize());
release(mytype, myowner, x);
}

int main(int argc, char** argv) {
mtype mytype = (mtype)0;
mspace myspace = (mspace)0;
mowner myowner = (mowner)0;
mop myop = (mop)0;
mdata mydata = (mdata)0;
int remoteId = -1;
size_t size = 1024ull * 1024ull *
1024ull; // 4 GiB, purposefully much larger than caches.
parse(argc, argv, mytype, myowner, myspace, size, myop, mydata, remoteId);
if (mydata == mdata::Unsigned)
run<unsigned>(mytype, myspace, myowner, myop, remoteId, size);
else if (mydata == mdata::UnsignedLong)
run<unsigned long>(mytype, myspace, myowner, myop, remoteId, size);
else if (mydata == mdata::Float)
run<float>(mytype, myspace, myowner, myop, remoteId, size);
else if (mydata == mdata::Double)
run<double>(mytype, myspace, myowner, myop, remoteId, size);
else {
throw std::runtime_error("bad");
}
}
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