How To Install libvkfft-dev on Ubuntu
Posted on April 1, 2023 (Last modified on May 20, 2023 )
4 minutes • 765 words
Introduction
In this tutorial we learn how to install libvkfft-dev on Ubuntu.
What is libvkfft-dev
libvkfft-dev is:
VkFFT is an efficient GPU-accelerated multidimensional Fast Fourier Transform library for Vulkan/CUDA/HIP/OpenCL projects. VkFFT aims to provide the community with an open-source alternative to Nvidia’s cuFFT library while achieving better performance. VkFFT is written in C language and supports Vulkan, CUDA, HIP and OpenCL as backends.
1D/2D/3D systems
Forward and inverse directions of FFT
Support for big FFT dimension sizes. Current limits: C2C or even C2R/R2C - (2^32, 2^32, 2^32). Odd C2R/R2C - (2^12, 2^32, 2^32). R2R - (2^12, 2^12, 2^12). Depends on the amount of shared memory on the device. (will be increased later).
Radix-2/3/4/5/7/8/11/13 FFT. Sequences using radix 3, 5, 7, 11 and 13 have comparable performance to that of powers of 2.
Bluestein’s FFT algorithm for all other sequences. Full coverage of C2C range, single upload (2^12, 2^12, 2^12) for R2C/C2R/R2R. Optimized to have as few memory transfers as possible by using zero padding and merged convolution support of VkFFT
Single, double and half precision support. Double precision uses CPU-generated LUT tables. Half precision still does all computations in single and only uses half precision to store data.
All transformations are performed in-place with no performance loss. Out-of-place transforms are supported by selecting different input/output buffers.
No additional transposition uploads. Note: Data can be reshuffled after the Four Step FFT algorithm with an additional buffer (for big sequences). Doesn’t matter for convolutions - they return to the input ordering (saves memory).
Complex to complex (C2C), real to complex (R2C), complex to real (C2R) transformations and real to real (R2R) Discrete Cosine Transformations of types I, II, III and IV. R2R, R2C and C2R are optimized to run up to 2x times faster than C2C and take 2x less memory
1x1, 2x2, 3x3 convolutions with symmetric or nonsymmetric kernel (no register overutilization)
Native zero padding to model open systems (up to 2x faster than simply padding input array with zeros). Can specify the range of sequences filled with zeros and the direction where zero padding is applied (read or write stage)
WHDCN layout - data is stored in the following order (sorted by increase in strides): the width, the height, the depth, the coordinate (the number of feature maps), the batch number
Multiple feature/batch convolutions - one input, multiple kernels
Multiple input/output/temporary buffer split. Allows using data split between different memory allocations and mitigates 4GB single allocation limit.
Works on Nvidia, AMD and Intel GPUs. And Raspberry Pi 4 GPU.
Works on Windows, Linux and macOS
VkFFT supports Vulkan, CUDA, HIP and OpenCL as backend to cover wide range of APIs
Header-only library with Vulkan interface, which allows appending VkFFT directly to user’s command buffer. Kernels are compiled at run-time
There are three methods to install libvkfft-dev on Ubuntu. We can use apt-get, apt and aptitude. In the following sections we will describe each method. You can choose one of them.
Install libvkfft-dev Using apt-get
Update apt database with apt-get using the following command.
sudo apt-get update
After updating apt database, We can install libvkfft-dev using apt-get by running the following command:
sudo apt-get -y install libvkfft-dev
Install libvkfft-dev Using apt
Update apt database with apt using the following command.
sudo apt update
After updating apt database, We can install libvkfft-dev using apt by running the following command:
sudo apt -y install libvkfft-dev
Install libvkfft-dev Using aptitude
If you want to follow this method, you might need to install aptitude first since aptitude is usually not installed by default on Ubuntu. Update apt database with aptitude using the following command.
sudo aptitude update
After updating apt database, We can install libvkfft-dev using aptitude by running the following command:
sudo aptitude -y install libvkfft-dev
How To Uninstall libvkfft-dev on Ubuntu
To uninstall only the libvkfft-dev package we can use the following command:
sudo apt-get remove libvkfft-dev
Uninstall libvkfft-dev And Its Dependencies
To uninstall libvkfft-dev and its dependencies that are no longer needed by Ubuntu, we can use the command below:
sudo apt-get -y autoremove libvkfft-dev
Remove libvkfft-dev Configurations and Data
To remove libvkfft-dev configuration and data from Ubuntu we can use the following command:
sudo apt-get -y purge libvkfft-dev
Remove libvkfft-dev configuration, data, and all of its dependencies
We can use the following command to remove libvkfft-dev configurations, data and all of its dependencies, we can use the following command:
sudo apt-get -y autoremove --purge libvkfft-dev
Dependencies
libvkfft-dev have the following dependencies:
References
Summary
In this tutorial we learn how to install libvkfft-dev package on Ubuntu using different package management tools: apt, apt-get and aptitude.