How to Install and Uninstall libvkfft-dev Package on Kali Linux

Last updated: May 19,2024

1. Install "libvkfft-dev" package

Please follow the instructions below to install libvkfft-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libvkfft-dev
            
                    
    
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2. Uninstall "libvkfft-dev" package

Here is a brief guide to show you how to uninstall libvkfft-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libvkfft-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libvkfft-dev package on Kali Linux

Package: libvkfft-dev
Source: vkfft
Version: 1.3.4+ds2-1
Installed-Size: 1664
Maintainer: Debian PaN Maintainers
Architecture: all
Size: 114472
SHA256: 6da7363e9461f8d19e6c8b7ece51c3b13d58a74849bb547a2a7b87b540fcaee7
SHA1: 34475336003880d81cb302bdb346347efc68e1a7
MD5sum: 7c53b1d61b42212ae776bb9a3639aa34
Description: Vulkan/CUDA/HIP/OpenCL Fast Fourier Transform library
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
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/DTolm/VkFFT
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/v/vkfft/libvkfft-dev_1.3.4+ds2-1_all.deb