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nvidia-powerd
NVIDIA Dynamic Boost (daemon)
The 'nvidia-powerd' daemon provides support for the NVIDIA Dynamic Boost
feature on Linux platforms. Dynamic Boost is a system-wide power controller
which manages GPU and CPU power, according to the workload on the system. By
shifting power between the GPU and the CPU, Dynamic Boost can deliver more
power to the component that would benefit most from it, without impacting the
system's total thermal and electrical budgets. This optimizes overall system
performance per watt.
p9ufs
p9 server implementation written in golang
This package provides a p9 server implementation written in golang. It is part
of the gvisor security platform.
libpgplot5
large subroutine library for plotting scientific data (runtime library)
Many routines are included in pgplot for viewing scientific data.
libkf6kiofilewidgets6
resource and network access abstraction (KIO file widgets library)
KDE Input/Output framework provides a single API for
operating on files, whether local or on a remote server.
Additionally, KIO Slaves provide support for individual
protocols. Some particularly useful ones are http, ftp,
sftp, smb, nfs, ssh (fish), man, tar and zip.
libhalide18-1
fast, portable computation on images and tensors
Halide is a programming language designed to make it easier to write
high-performance image and array processing code on modern machines.
Halide currently targets:
* CPU architectures: X86, ARM, Hexagon, PowerPC, RISC-V
* Operating systems: Linux, Windows, macOS, Android, iOS, Qualcomm QuRT
* GPU Compute APIs: CUDA, OpenCL, Apple Metal, Microsoft Direct X 12, Vulkan
Rather than being a standalone programming language,
Halide is embedded in C++. This means you write C++ code that builds
an in-memory representation of a Halide pipeline using Halide's C++ API.
You can then compile this representation to an object file,
or JIT-compile it and run it in the same process.
libhalideaot18-1
fast, portable computation on images and tensors (virtual library)
Halide is a programming language designed to make it easier to write
high-performance image and array processing code on modern machines.