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https://github.com/morton-nd/morton-nd
A header-only compile-time Morton encoding / decoding library for N dimensions.
https://github.com/morton-nd/morton-nd
bmi2 coding decoding dimensions encoding lookup-table lut morton morton-code morton-encoding-library morton-order multiple
Last synced: about 2 months ago
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A header-only compile-time Morton encoding / decoding library for N dimensions.
- Host: GitHub
- URL: https://github.com/morton-nd/morton-nd
- Owner: morton-nd
- License: mit
- Created: 2018-06-25T22:20:30.000Z (about 6 years ago)
- Default Branch: main
- Last Pushed: 2023-06-12T13:00:45.000Z (over 1 year ago)
- Last Synced: 2024-06-18T10:34:49.945Z (3 months ago)
- Topics: bmi2, coding, decoding, dimensions, encoding, lookup-table, lut, morton, morton-code, morton-encoding-library, morton-order, multiple
- Language: C++
- Homepage:
- Size: 136 KB
- Stars: 96
- Watchers: 5
- Forks: 5
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Morton ND
A header-only Morton encode/decode library (C++14) capable of encoding from and decoding to N-dimensional space.
All algorithms are **generated** at compile-time for the number of dimensions and field width used. This way, loops and branches are not required.
Includes a hardware-based approach (using Intel BMI2) for most Intel CPUs, as well as another fast approach based on Lookup Table (LUT) methods for other CPU variants.
### Status
[](https://github.com/kevinhartman/morton-nd/actions/workflows/cmake.yml) [](https://opensource.org/licenses/MIT)
## Features
### Encode/Decode Support
- any number of dimensions (e.g. `2D, 3D, 4D ... ND`).
- built-in support for up to 128-bit native results (`__uint128_t`). Unlimited using a user-supplied "big integer" class (not yet tested).
- `constexpr` encoding and decoding, allowing Morton coding to be expressed at compile-time.
## Encoders and Decoders
### Hardware (Intel BMI2)
Supports encoding and decoding in N dimensions, using Intel's BMI2 ISA extension (available in Haswell (Intel), Excavator (AMD) and newer).
See the [Morton ND BMI2 Usage Guide](docs/MortonND_BMI2.md) for details.
```c++
using MortonND_4D = mortonnd::MortonNDBmi<4, uint64_t>;
// Encodes 4 fields into a uint64_t result.
auto encoding = MortonND_4D::Encode(f1, f2, f3, f4);
// Decodes 4 fields.
std::tie(f1, f2, f3, f4) = MortonND_4D::Decode(encoding);
```
### Lookup Table (LUT)
Supports encoding and decoding in N dimensions, using compiler-generated LUTs.
LUTs are defined with constant expressions and thus can be generated (and even used) at compile-time.
Both the encoder and decoder support chunking, allowing a LUT smaller than the input field width when encoding, or smaller than the Morton code width when decoding, to be used internally. This is useful for applications which require faster compilation times and smaller binaries (at the expense of extra bit manipulation operations required to combine chunks at runtime).
See the [Morton ND LUT Usage Guide](docs/MortonND_LUT.md) for details.
#### Encoding
```c++
// Generates a 4D LUT encoder (4 fields, 16 bits each, 8-bit LUT) using the compiler.
constexpr auto MortonND_4D_Enc = mortonnd::MortonNDLutEncoder<4, 16, 8>();
// Encodes 4 fields. Can be done at run-time or compile-time.
auto encoding = MortonND_4D_Enc.Encode(f1, f2, f3, f4);
```
#### Decoding
```c++
// Generates a 4D LUT decoder (4 fields, 16 bits each, 8-bit LUT) using the compiler.
constexpr auto MortonND_4D_Dec = mortonnd::MortonNDLutDecoder<4, 16, 8>();
// Decodes 4 fields. Can be done at run-time or compile-time (just not with std::tie in C++14).
std::tie(f1, f2, f3, f4) = MortonND_4D_Dec.Decode(encoding);
```
## Testing and Performance
Validation testing specific to MortonND is located in the `/tests` folder, covering N-dimensional configurations where `N ∈ { 1, 2, 3, 4, 5, 8, 16, 32, 64 }` for common field sizes, and is run as part of Travis CI.
Performance benchmark tests (and additional validation) for 2D and 3D use cases are located in a separate repository. See [this fork](https://github.com/kevinhartman/libmorton#fork-changes) of @Forceflow's [Libmorton](https://github.com/Forceflow/libmorton), which integrates Morton ND into Libmorton's existing test framework.
### Benchmarks
The snippets below show performance comparisons between various 3D configurations of Morton ND. Comparisons to the 3D algorithms found in Libmorton are also included to demonstrate that Morton ND's generated algorithms are as efficient as hand-coded algorithms.
To run these tests (and more!) on your own machine, clone the fork linked above.
The following metrics (sorted by random access time, ascending) were collected on an I9-9980HK, compiled with GCC 11.1.0 on macOS 11.1 using `-O3 -DNDEBUG`. Results include data from both linearly increasing and random inputs to demonstrate the performance impact of cache (hit or miss) under each algorithm / configuration. Results are averaged over 5 runs (each algorithm is run 5 times consecutively before moving on to the next).
#### 32-bit
```
++ Running each performance test 5 times and averaging results
++ Encoding 512^3 morton codes (134217728 in total)
Linear Random
====== ======
524.178 ms 515.768 ms : 32-bit (MortonND) LUT: 1 chunks, 10 bit LUT
530.421 ms 536.726 ms : 32-bit (lib-morton) BMI2 instruction set
539.061 ms 530.954 ms : 32-bit (MortonND) BMI2
629.888 ms 628.029 ms : 32-bit (lib-morton) LUT Shifted
647.075 ms 646.281 ms : 32-bit (MortonND) LUT: 2 chunks, 8 bit LUT
658.859 ms 667.313 ms : 32-bit (MortonND) LUT: 2 chunks, 5 bit LUT
668.371 ms 665.673 ms : 32-bit (lib-morton) LUT
++ Decoding 512^3 morton codes (134217728 in total)
Linear Random
====== ======
560.478 ms 3159.143 ms : 32-bit (lib-morton) BMI2 Instruction set
569.632 ms 3188.762 ms : 32-bit (MortonND) MortonND: BMI2
807.765 ms 3386.069 ms : 32-bit (MortonND) LUT: 3 chunks, 10 bit LUT
870.854 ms 3479.404 ms : 32-bit (lib-morton) LUT Shifted
902.272 ms 3516.063 ms : 32-bit (MortonND) LUT: 4 chunks, 8 bit LUT
1033.880 ms 3605.081 ms : 32-bit (lib-morton) LUT
1162.954 ms 3755.352 ms : 32-bit (MortonND) LUT: 6 chunks, 5 bit LUT
```
#### 64-bit
```
++ Running each performance test 5 times and averaging results
++ Encoding 512^3 morton codes (134217728 in total)
Linear Random
====== ======
524.044 ms 563.434 ms : 64-bit (lib-morton) BMI2 instruction set
536.608 ms 587.632 ms : 64-bit (MortonND) BMI2
632.564 ms 639.866 ms : 64-bit (MortonND) LUT: 2 chunks, 11 bit LUT
812.262 ms 817.026 ms : 64-bit (MortonND) LUT: 3 chunks, 8 bit LUT
812.683 ms 823.962 ms : 64-bit (MortonND) LUT: 3 chunks, 7 bit LUT
828.591 ms 845.098 ms : 64-bit (lib-morton) LUT Shifted
612.973 ms 863.919 ms : 64-bit (MortonND) LUT: 2 chunks, 16 bit LUT
909.336 ms 929.829 ms : 64-bit (lib-morton) LUT
516.114 ms 1003.164 ms : 64-bit (MortonND) LUT: 1 chunks, 21 bit LUT
++ Decoding 512^3 morton codes (134217728 in total)
Linear Random
====== ======
575.827 ms 3195.522 ms : 64-bit (MortonND) BMI2
560.200 ms 3204.435 ms : 64-bit (lib-morton) BMI2 Instruction set
932.061 ms 3600.856 ms : 64-bit (MortonND) LUT: 4 chunks, 16 bit LUT
1164.335 ms 3758.155 ms : 64-bit (MortonND) LUT: 6 chunks, 11 bit LUT
1300.058 ms 3912.560 ms : 64-bit (lib-morton) LUT Shifted
1518.749 ms 4144.474 ms : 64-bit (MortonND) LUT: 9 chunks, 7 bit LUT
1387.119 ms 4039.352 ms : 64-bit (MortonND) LUT: 8 chunks, 8 bit LUT
1564.913 ms 4150.859 ms : 64-bit (lib-morton) LUT
833.821 ms 4496.993 ms : 64-bit (MortonND) LUT: 3 chunks, 21 bit LUT
```
## Installation
### CMake
Morton ND provides a CMake integration, making it easy to use from your CMake project.
#### Adding the dependency
If you've installed Morton ND to your `CMAKE_MODULE_PATH` (e.g. with [vcpkg](https://github.com/microsoft/vcpkg)), find and link it like this:
```cmake
find_package(morton-nd CONFIG REQUIRED)
target_link_libraries(main PRIVATE morton-nd::MortonND)
```
Otherwise, if you're using Morton ND as a Git submodule:
```cmake
add_subdirectory(morton-nd)
target_link_libraries(main PRIVATE morton-nd::MortonND)
```
#### Including library headers
By using `target_link_libraries(...)` as above, Morton ND's headers will be automatically available for use by your target:
```c++
// main.cpp
#include
#include
```
## Thanks
* Jeroen Baert (@Forceflow)
- [Morton encoding/decoding through bit interleaving: Implementations](https://www.forceflow.be/2013/10/07/morton-encodingdecoding-through-bit-interleaving-implementations/)
- [libmorton](https://github.com/Forceflow/libmorton), a C++11 header-only library for 2D and 3D Morton encoding and decoding.
## License
This project is licensed under the MIT license.
Attribution is appreciated where applicable, and as such, a NOTICE file is included which may be distributed in the credits of derivative software.