python-pycuda
Python module to access Nvidia‘s CUDA parallel computation API
PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
Several wrappers of the CUDA API already exist–so what’s so special about
PyCUDA?
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and crash-free
code. PyCUDA knows about dependencies, too, so (for example) it won’t
detach from a context before all memory allocated in it is also freed.
* Convenience. Abstractions like pycuda.driver.SourceModule and
pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
with Nvidia’s C-based runtime.
* Completeness. PyCUDA puts the full power of CUDA’s driver API at your
disposal, if you wish.
* Automatic Error Checking. All CUDA errors are automatically translated
into Python exceptions.
* Speed. PyCUDA’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful Documentation.
qmhandle
tool to manage the qmail message queue
qmHandle is a tool which can be used to manage the qmail message queue.
It has more features than qmail-qread and qmail-qstat.
linux-support-5.9.0-2
Support files for Linux 5.9
This package provides support files for the Linux kernel build, e.g.
scripts to handle ABI information and for generation of build system meta
data.
node-assume
Expect-like assertions that work in node and the browser
Assume is an expect inspired assertion library who's sole purpose is to create
a working and human readable assert library for browsers and node. The library
is designed to work with different assertion styles.
libswiften0
XMPP library
Swiften is a robust, high-quality, standards-compliant, cross-platform,
and performant C++ library for implementing XMPP applications. Swiften
is used as the back-end library for the Swift Instant Messaging client.
palbart
Enhanced version of the PAL PDP8 assembler
PALBART is an enhanced version of the pdp8 PAL assembler.
This is a PDP8 cross assembler. It's useful for the users of SIMH or
any other PDP8 emulator.