test_allocator.cu
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/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
/******************************************************************************
* Test evaluation for caching allocator of device memory
******************************************************************************/
// Ensure printing of CUDA runtime errors to console
#define CUB_STDERR
#include <stdio.h>
#include <cub/util_allocator.cuh>
#include "test_util.h"
using namespace cub;
//---------------------------------------------------------------------
// Main
//---------------------------------------------------------------------
/**
* Main
*/
int main(int argc, char** argv)
{
// Initialize command line
CommandLineArgs args(argc, argv);
// Print usage
if (args.CheckCmdLineFlag("help"))
{
printf("%s "
"[--device=<device-id>]"
"[--bytes=<timing bytes>]"
"[--i=<timing iterations>]"
"\n", argv[0]);
exit(0);
}
#if (CUB_PTX_ARCH == 0)
// Initialize device
CubDebugExit(args.DeviceInit());
// Get number of GPUs and current GPU
int num_gpus;
int initial_gpu;
int timing_iterations = 10000;
int timing_bytes = 1024 * 1024;
if (CubDebug(cudaGetDeviceCount(&num_gpus))) exit(1);
if (CubDebug(cudaGetDevice(&initial_gpu))) exit(1);
args.GetCmdLineArgument("i", timing_iterations);
args.GetCmdLineArgument("bytes", timing_bytes);
// Create default allocator (caches up to 6MB in device allocations per GPU)
CachingDeviceAllocator allocator;
allocator.debug = true;
printf("Running single-gpu tests...\n"); fflush(stdout);
//
// Test0
//
// Create a new stream
cudaStream_t other_stream;
CubDebugExit(cudaStreamCreate(&other_stream));
// Allocate 999 bytes on the current gpu in stream0
char *d_999B_stream0_a;
char *d_999B_stream0_b;
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream0_a, 999, 0));
// Run some big kernel in stream 0
EmptyKernel<void><<<32000, 512, 1024 * 8, 0>>>();
// Free d_999B_stream0_a
CubDebugExit(allocator.DeviceFree(d_999B_stream0_a));
// Allocate another 999 bytes in stream 0
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream0_b, 999, 0));
// Check that that we have 1 live block on the initial GPU
AssertEquals(allocator.live_blocks.size(), 1);
// Check that that we have no cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 0);
// Run some big kernel in stream 0
EmptyKernel<void><<<32000, 512, 1024 * 8, 0>>>();
// Free d_999B_stream0_b
CubDebugExit(allocator.DeviceFree(d_999B_stream0_b));
// Allocate 999 bytes on the current gpu in other_stream
char *d_999B_stream_other_a;
char *d_999B_stream_other_b;
allocator.DeviceAllocate((void **) &d_999B_stream_other_a, 999, other_stream);
// Check that that we have 1 live blocks on the initial GPU (that we allocated a new one because d_999B_stream0_b is only available for stream 0 until it becomes idle)
AssertEquals(allocator.live_blocks.size(), 1);
// Check that that we have one cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 1);
// Run some big kernel in other_stream
EmptyKernel<void><<<32000, 512, 1024 * 8, other_stream>>>();
// Free d_999B_stream_other
CubDebugExit(allocator.DeviceFree(d_999B_stream_other_a));
// Check that we can now use both allocations in stream 0 after synchronizing the device
CubDebugExit(cudaDeviceSynchronize());
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream0_a, 999, 0));
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream0_b, 999, 0));
// Check that that we have 2 live blocks on the initial GPU
AssertEquals(allocator.live_blocks.size(), 2);
// Check that that we have no cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 0);
// Free d_999B_stream0_a and d_999B_stream0_b
CubDebugExit(allocator.DeviceFree(d_999B_stream0_a));
CubDebugExit(allocator.DeviceFree(d_999B_stream0_b));
// Check that we can now use both allocations in other_stream
CubDebugExit(cudaDeviceSynchronize());
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream_other_a, 999, other_stream));
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream_other_b, 999, other_stream));
// Check that that we have 2 live blocks on the initial GPU
AssertEquals(allocator.live_blocks.size(), 2);
// Check that that we have no cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 0);
// Run some big kernel in other_stream
EmptyKernel<void><<<32000, 512, 1024 * 8, other_stream>>>();
// Free d_999B_stream_other_a and d_999B_stream_other_b
CubDebugExit(allocator.DeviceFree(d_999B_stream_other_a));
CubDebugExit(allocator.DeviceFree(d_999B_stream_other_b));
// Check that we can now use both allocations in stream 0 after synchronizing the device and destroying the other stream
CubDebugExit(cudaDeviceSynchronize());
CubDebugExit(cudaStreamDestroy(other_stream));
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream0_a, 999, 0));
CubDebugExit(allocator.DeviceAllocate((void **) &d_999B_stream0_b, 999, 0));
// Check that that we have 2 live blocks on the initial GPU
AssertEquals(allocator.live_blocks.size(), 2);
// Check that that we have no cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 0);
// Free d_999B_stream0_a and d_999B_stream0_b
CubDebugExit(allocator.DeviceFree(d_999B_stream0_a));
CubDebugExit(allocator.DeviceFree(d_999B_stream0_b));
// Free all cached
CubDebugExit(allocator.FreeAllCached());
//
// Test1
//
// Allocate 5 bytes on the current gpu
char *d_5B;
CubDebugExit(allocator.DeviceAllocate((void **) &d_5B, 5));
// Check that that we have zero free bytes cached on the initial GPU
AssertEquals(allocator.cached_bytes[initial_gpu].free, 0);
// Check that that we have 1 live block on the initial GPU
AssertEquals(allocator.live_blocks.size(), 1);
//
// Test2
//
// Allocate 4096 bytes on the current gpu
char *d_4096B;
CubDebugExit(allocator.DeviceAllocate((void **) &d_4096B, 4096));
// Check that that we have 2 live blocks on the initial GPU
AssertEquals(allocator.live_blocks.size(), 2);
//
// Test3
//
// DeviceFree d_5B
CubDebugExit(allocator.DeviceFree(d_5B));
// Check that that we have min_bin_bytes free bytes cached on the initial gpu
AssertEquals(allocator.cached_bytes[initial_gpu].free, allocator.min_bin_bytes);
// Check that that we have 1 live block on the initial GPU
AssertEquals(allocator.live_blocks.size(), 1);
// Check that that we have 1 cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 1);
//
// Test4
//
// DeviceFree d_4096B
CubDebugExit(allocator.DeviceFree(d_4096B));
// Check that that we have the 4096 + min_bin free bytes cached on the initial gpu
AssertEquals(allocator.cached_bytes[initial_gpu].free, allocator.min_bin_bytes + 4096);
// Check that that we have 0 live block on the initial GPU
AssertEquals(allocator.live_blocks.size(), 0);
// Check that that we have 2 cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 2);
//
// Test5
//
// Allocate 768 bytes on the current gpu
char *d_768B;
CubDebugExit(allocator.DeviceAllocate((void **) &d_768B, 768));
// Check that that we have the min_bin free bytes cached on the initial gpu (4096 was reused)
AssertEquals(allocator.cached_bytes[initial_gpu].free, allocator.min_bin_bytes);
// Check that that we have 1 live block on the initial GPU
AssertEquals(allocator.live_blocks.size(), 1);
// Check that that we have 1 cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 1);
//
// Test6
//
// Allocate max_cached_bytes on the current gpu
char *d_max_cached;
CubDebugExit(allocator.DeviceAllocate((void **) &d_max_cached, allocator.max_cached_bytes));
// DeviceFree d_max_cached
CubDebugExit(allocator.DeviceFree(d_max_cached));
// Check that that we have the min_bin free bytes cached on the initial gpu (max cached was not returned because we went over)
AssertEquals(allocator.cached_bytes[initial_gpu].free, allocator.min_bin_bytes);
// Check that that we have 1 live block on the initial GPU
AssertEquals(allocator.live_blocks.size(), 1);
// Check that that we still have 1 cached block on the initial GPU
AssertEquals(allocator.cached_blocks.size(), 1);
//
// Test7
//
// Free all cached blocks on all GPUs
CubDebugExit(allocator.FreeAllCached());
// Check that that we have 0 bytes cached on the initial GPU
AssertEquals(allocator.cached_bytes[initial_gpu].free, 0);
// Check that that we have 0 cached blocks across all GPUs
AssertEquals(allocator.cached_blocks.size(), 0);
// Check that that still we have 1 live block across all GPUs
AssertEquals(allocator.live_blocks.size(), 1);
//
// Test8
//
// Allocate max cached bytes + 1 on the current gpu
char *d_max_cached_plus;
CubDebugExit(allocator.DeviceAllocate((void **) &d_max_cached_plus, allocator.max_cached_bytes + 1));
// DeviceFree max cached bytes
CubDebugExit(allocator.DeviceFree(d_max_cached_plus));
// DeviceFree d_768B
CubDebugExit(allocator.DeviceFree(d_768B));
unsigned int power;
size_t rounded_bytes;
allocator.NearestPowerOf(power, rounded_bytes, allocator.bin_growth, 768);
// Check that that we have 4096 free bytes cached on the initial gpu
AssertEquals(allocator.cached_bytes[initial_gpu].free, rounded_bytes);
// Check that that we have 1 cached blocks across all GPUs
AssertEquals(allocator.cached_blocks.size(), 1);
// Check that that still we have 0 live block across all GPUs
AssertEquals(allocator.live_blocks.size(), 0);
#ifndef CUB_CDP
// BUG: find out why these tests fail when one GPU is CDP compliant and the other is not
if (num_gpus > 1)
{
printf("\nRunning multi-gpu tests...\n"); fflush(stdout);
//
// Test9
//
// Allocate 768 bytes on the next gpu
int next_gpu = (initial_gpu + 1) % num_gpus;
char *d_768B_2;
CubDebugExit(allocator.DeviceAllocate(next_gpu, (void **) &d_768B_2, 768));
// DeviceFree d_768B on the next gpu
CubDebugExit(allocator.DeviceFree(next_gpu, d_768B_2));
// Re-allocate 768 bytes on the next gpu
CubDebugExit(allocator.DeviceAllocate(next_gpu, (void **) &d_768B_2, 768));
// Re-free d_768B on the next gpu
CubDebugExit(allocator.DeviceFree(next_gpu, d_768B_2));
// Check that that we have 4096 free bytes cached on the initial gpu
AssertEquals(allocator.cached_bytes[initial_gpu].free, rounded_bytes);
// Check that that we have 4096 free bytes cached on the second gpu
AssertEquals(allocator.cached_bytes[next_gpu].free, rounded_bytes);
// Check that that we have 2 cached blocks across all GPUs
AssertEquals(allocator.cached_blocks.size(), 2);
// Check that that still we have 0 live block across all GPUs
AssertEquals(allocator.live_blocks.size(), 0);
}
#endif // CUB_CDP
//
// Performance
//
printf("\nCPU Performance (%d timing iterations, %d bytes):\n", timing_iterations, timing_bytes);
fflush(stdout); fflush(stderr);
// CPU performance comparisons vs cached. Allocate and free a 1MB block 2000 times
CpuTimer cpu_timer;
char *d_1024MB = NULL;
allocator.debug = false;
// Prime the caching allocator and the kernel
CubDebugExit(allocator.DeviceAllocate((void **) &d_1024MB, timing_bytes));
CubDebugExit(allocator.DeviceFree(d_1024MB));
cub::EmptyKernel<void><<<1, 32>>>();
// CUDA
cpu_timer.Start();
for (int i = 0; i < timing_iterations; ++i)
{
CubDebugExit(cudaMalloc((void **) &d_1024MB, timing_bytes));
CubDebugExit(cudaFree(d_1024MB));
}
cpu_timer.Stop();
float cuda_malloc_elapsed_millis = cpu_timer.ElapsedMillis();
// CUB
cpu_timer.Start();
for (int i = 0; i < timing_iterations; ++i)
{
CubDebugExit(allocator.DeviceAllocate((void **) &d_1024MB, timing_bytes));
CubDebugExit(allocator.DeviceFree(d_1024MB));
}
cpu_timer.Stop();
float cub_calloc_elapsed_millis = cpu_timer.ElapsedMillis();
printf("\t CUB CachingDeviceAllocator allocation CPU speedup: %.2f (avg cudaMalloc %.4f ms vs. avg DeviceAllocate %.4f ms)\n",
cuda_malloc_elapsed_millis / cub_calloc_elapsed_millis,
cuda_malloc_elapsed_millis / timing_iterations,
cub_calloc_elapsed_millis / timing_iterations);
// GPU performance comparisons. Allocate and free a 1MB block 2000 times
GpuTimer gpu_timer;
printf("\nGPU Performance (%d timing iterations, %d bytes):\n", timing_iterations, timing_bytes);
fflush(stdout); fflush(stderr);
// Kernel-only
gpu_timer.Start();
for (int i = 0; i < timing_iterations; ++i)
{
cub::EmptyKernel<void><<<1, 32>>>();
}
gpu_timer.Stop();
float cuda_empty_elapsed_millis = gpu_timer.ElapsedMillis();
// CUDA
gpu_timer.Start();
for (int i = 0; i < timing_iterations; ++i)
{
CubDebugExit(cudaMalloc((void **) &d_1024MB, timing_bytes));
cub::EmptyKernel<void><<<1, 32>>>();
CubDebugExit(cudaFree(d_1024MB));
}
gpu_timer.Stop();
cuda_malloc_elapsed_millis = gpu_timer.ElapsedMillis() - cuda_empty_elapsed_millis;
// CUB
gpu_timer.Start();
for (int i = 0; i < timing_iterations; ++i)
{
CubDebugExit(allocator.DeviceAllocate((void **) &d_1024MB, timing_bytes));
cub::EmptyKernel<void><<<1, 32>>>();
CubDebugExit(allocator.DeviceFree(d_1024MB));
}
gpu_timer.Stop();
cub_calloc_elapsed_millis = gpu_timer.ElapsedMillis() - cuda_empty_elapsed_millis;
printf("\t CUB CachingDeviceAllocator allocation GPU speedup: %.2f (avg cudaMalloc %.4f ms vs. avg DeviceAllocate %.4f ms)\n",
cuda_malloc_elapsed_millis / cub_calloc_elapsed_millis,
cuda_malloc_elapsed_millis / timing_iterations,
cub_calloc_elapsed_millis / timing_iterations);
#endif
printf("Success\n");
return 0;
}