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getCachingDeviceAllocator.h
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#ifndef HeterogeneousCore_CUDACore_src_getCachingDeviceAllocator
#define HeterogeneousCore_CUDACore_src_getCachingDeviceAllocator
#include "CUDACore/cudaCheck.h"
#include "CUDACore/deviceCount.h"
#include "CachingDeviceAllocator.h"
namespace cms::cuda::allocator {
// Use caching or not
constexpr bool useCaching = true;
// Growth factor (bin_growth in cub::CachingDeviceAllocator
constexpr unsigned int binGrowth = 8;
// Smallest bin, corresponds to binGrowth^minBin bytes (min_bin in cub::CacingDeviceAllocator
constexpr unsigned int minBin = 1;
// Largest bin, corresponds to binGrowth^maxBin bytes (max_bin in cub::CachingDeviceAllocator). Note that unlike in cub, allocations larger than binGrowth^maxBin are set to fail.
constexpr unsigned int maxBin = 10;
// Total storage for the allocator. 0 means no limit.
constexpr size_t maxCachedBytes = 0;
// Fraction of total device memory taken for the allocator. In case there are multiple devices with different amounts of memory, the smallest of them is taken. If maxCachedBytes is non-zero, the smallest of them is taken.
constexpr double maxCachedFraction = 0.8;
constexpr bool debug = false;
inline size_t minCachedBytes() {
size_t ret = std::numeric_limits<size_t>::max();
int currentDevice;
cudaCheck(cudaGetDevice(¤tDevice));
const int numberOfDevices = deviceCount();
for (int i = 0; i < numberOfDevices; ++i) {
size_t freeMemory, totalMemory;
cudaCheck(cudaSetDevice(i));
cudaCheck(cudaMemGetInfo(&freeMemory, &totalMemory));
ret = std::min(ret, static_cast<size_t>(maxCachedFraction * freeMemory));
}
cudaCheck(cudaSetDevice(currentDevice));
if (maxCachedBytes > 0) {
ret = std::min(ret, maxCachedBytes);
}
return ret;
}
inline notcub::CachingDeviceAllocator& getCachingDeviceAllocator() {
// the public interface is thread safe
static notcub::CachingDeviceAllocator allocator{binGrowth,
minBin,
maxBin,
minCachedBytes(),
false, // do not skip cleanup
debug};
return allocator;
}
} // namespace cms::cuda::allocator
#endif