How to Install and Uninstall hipcc Package on Kali Linux

Last updated: November 27,2024

1. Install "hipcc" package

Here is a brief guide to show you how to install hipcc on Kali Linux

$ sudo apt update $ sudo apt install hipcc

2. Uninstall "hipcc" package

Please follow the step by step instructions below to uninstall hipcc on Kali Linux:

$ sudo apt remove hipcc $ sudo apt autoclean && sudo apt autoremove

3. Information about the hipcc package on Kali Linux

Package: hipcc
Source: rocm-hipamd
Version: 5.2.3-13
Installed-Size: 111
Maintainer: Debian ROCm Team
Architecture: amd64
Depends: clang-15, llvm-15, lld-15, clang-tools-15, rocm-device-libs, rocminfo, libamdhip64-dev, libclang-common-15-dev (<< 1:15.0.6-5~exp1) | libclang-rt-15-dev (>= 1:15.0.6-5~exp1), file, libfile-which-perl, liburi-encode-perl, dpkg-dev
Size: 28076
SHA256: 2ba0850fb3ae36278348b88c34272c5f657084bf3b7f7daaa8591c67e2002524
SHA1: ed1dd50e55ffcfdb3b5fae10e74895df14cf0f0d
MD5sum: 786979e3c1e7d674781175ba1edef0ac
Description: C++ Runtime API and Kernel Language for AMD and NVIDIA GPUs
HIP (Heterogeneous Interface for Portability) is a C++ Runtime API and Kernel
Language that allows developers to create portable applications for AMD and
NVIDIA GPUs from single source code.
.
Key features include:
.
* HIP is very thin and has little or no performance impact over coding
directly in CUDA mode;
* HIP allows coding in a single-source C++ programming language including
features such as templates, C++11 lambdas, classes, namespaces, and more;
* HIP allows developers to use the "best" development environment and tools
on each target platform;
* the HIPify tools automatically convert source from CUDA to HIP;
* developers can specialize for the platform (CUDA or AMD) to tune for
performance or handle tricky cases.
.
New projects can be developed directly in the portable HIP C++ language and
can run on either NVIDIA or AMD platforms. Additionally, HIP provides porting
tools which make it easy to port existing CUDA codes to the HIP layer, with no
loss of performance as compared to the original CUDA application. HIP is not
intended to be a drop-in replacement for CUDA, and developers should expect to
do some manual coding and performance tuning work to complete the port.
Description-md5:
Homepage: https://github.com/rocm-developer-tools/hipamd
Section: devel
Priority: optional
Filename: pool/main/r/rocm-hipamd/hipcc_5.2.3-13_amd64.deb