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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

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// Copyright (c) 2020-2025 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.
#include <thrust/generate.h>
#include <thrust/host_vector.h>
#include <thrust/pair.h>
#include <thrust/sort.h>
#include <thrust/system/cuda/execution_policy.h>
#include <thrust/system/cuda/vector.h>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <map>
#include <sstream>
// This example demonstrates how to control how Thrust allocates temporary
// storage during algorithms such as thrust::sort. The idea will be to create a
// simple cache of allocations to search when temporary storage is requested.
// If a hit is found in the cache, we quickly return the cached allocation
// instead of resorting to the more expensive thrust::cuda::malloc.
// Note: Thrust now has its own caching allocator layer; if you just need a
// caching allocator, you ought to use that. This example is still useful
// as a demonstration of how to use a Thrust custom allocator.
// Note: this implementation cached_allocator is not thread-safe. If multiple
// (host) threads use the same cached_allocator then they should gain exclusive
// access to the allocator before accessing its methods.
struct not_my_pointer
{
not_my_pointer(void* p)
: message()
{
std::stringstream s;
s << "Pointer `" << p << "` was not allocated by this allocator.";
message = s.str();
}
virtual ~not_my_pointer() {}
virtual const char* what() const
{
return message.c_str();
}
private:
std::string message;
};
// A simple allocator for caching cudaMalloc allocations.
struct cached_allocator
{
using value_type = char;
cached_allocator() {}
~cached_allocator()
{
free_all();
}
char* allocate(std::ptrdiff_t num_bytes)
{
std::cout << "cached_allocator::allocate(): num_bytes == " << num_bytes << std::endl;
char* result = 0;
// Search the cache for a free block.
free_blocks_type::iterator free_block = free_blocks.find(num_bytes);
if (free_block != free_blocks.end())
{
std::cout << "cached_allocator::allocate(): found a free block" << std::endl;
result = free_block->second;
// Erase from the `free_blocks` map.
free_blocks.erase(free_block);
}
else
{
// No allocation of the right size exists, so create a new one with
// `thrust::cuda::malloc`.
try
{
std::cout << "cached_allocator::allocate(): allocating new block" << std::endl;
// Allocate memory and convert the resulting `thrust::cuda::pointer` to
// a raw pointer.
result = thrust::cuda::malloc<char>(num_bytes).get();
}
catch (std::runtime_error&)
{
throw;
}
}
// Insert the allocated pointer into the `allocated_blocks` map.
allocated_blocks.insert(std::make_pair(result, num_bytes));
return result;
}
void deallocate(char* ptr, size_t)
{
std::cout << "cached_allocator::deallocate(): ptr == " << reinterpret_cast<void*>(ptr) << std::endl;
// Erase the allocated block from the allocated blocks map.
allocated_blocks_type::iterator iter = allocated_blocks.find(ptr);
if (iter == allocated_blocks.end())
{
throw not_my_pointer(reinterpret_cast<void*>(ptr));
}
std::ptrdiff_t num_bytes = iter->second;
allocated_blocks.erase(iter);
// Insert the block into the free blocks map.
free_blocks.insert(std::make_pair(num_bytes, ptr));
}
private:
using free_blocks_type = std::multimap<std::ptrdiff_t, char*>;
using allocated_blocks_type = std::map<char*, std::ptrdiff_t>;
free_blocks_type free_blocks;
allocated_blocks_type allocated_blocks;
void free_all()
{
std::cout << "cached_allocator::free_all()" << std::endl;
// Deallocate all outstanding blocks in both lists.
for (free_blocks_type::iterator i = free_blocks.begin(); i != free_blocks.end(); ++i)
{
// Transform the pointer to cuda::pointer before calling cuda::free.
thrust::cuda::free(thrust::cuda::pointer<char>(i->second));
}
for (allocated_blocks_type::iterator i = allocated_blocks.begin(); i != allocated_blocks.end(); ++i)
{
// Transform the pointer to cuda::pointer before calling cuda::free.
thrust::cuda::free(thrust::cuda::pointer<char>(i->first));
}
}
};
int main()
{
std::size_t num_elements = 32768;
thrust::host_vector<int> h_input(num_elements);
// Generate random input.
thrust::generate(h_input.begin(), h_input.end(), rand);
thrust::cuda::vector<int> d_input = h_input;
thrust::cuda::vector<int> d_result(num_elements);
std::size_t num_trials = 5;
cached_allocator alloc;
for (std::size_t i = 0; i < num_trials; ++i)
{
d_result = d_input;
// Pass alloc through cuda::par as the first parameter to sort
// to cause allocations to be handled by alloc during sort.
thrust::sort(thrust::cuda::par(alloc), d_result.begin(), d_result.end());
// Ensure the result is sorted.
assert(thrust::is_sorted(d_result.begin(), d_result.end()));
}
return 0;
}