libstarpu-contrib-1.3-9
Task scheduler for heterogeneous multicore machines
StarPU is a runtime system that offers support for heterogeneous
multicore machines. While many efforts are devoted to design efficient
computation kernels for those architectures (e.g. to implement BLAS
kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
offloading such kernels (and implementing data coherency across
the machine), but it also makes sure the kernels are executed as
efficiently as possible.
node-rollup-plugin-terser
Rollup plugin to minify generated es bundle
This plugin for rollup uses terser
to minify generated bundle and supports ES6.
python3-django-timezone-field
database and form fields for pytz objects (Python3 version)
A Django app providing database and form fields for pytz timezone objects.
Values are validated against pytz.common_timezones and stored as strings. The
form field can display timezones as locations or locations with offsets.
bamtools
toolkit for manipulating BAM (genome alignment) files
BamTools facilitates research analysis and data management using BAM
files. It copes with the enormous amount of data produced by current
sequencing technologies that is typically stored in compressed, binary
formats that are not easily handled by the text-based parsers commonly
used in bioinformatics research.
libkotlinx-atomicfu-java
AtomicFU - Idiomatic atomic operations in Kotlin
AtomicFU is a library that provides the idiomatic and effective way of using
atomic operations in Kotlin: Code it like a boxed value, but run it efficiently
as java.util.concurrent.atomic.AtomicXxxFieldUpdater. Kotlin-specific
extensions (e.g. inline loop, update, updateAndGet functions), atomic arrays,
user-defined extensions on atomics and locks.
atop
Monitor for system resources and process activity
Atop is an ASCII full-screen performance monitor, similar to the top command,
but atop only shows the active system-resources and processes, and only shows
the deviations since the previous interval. At regular intervals, it shows
system-level activity related to the CPU, memory, swap, disks and network
layers, and it shows for every active process the CPU utilization in system
and user mode, the virtual and resident memory growth, priority, username,
state, and exit code. The process level activity is also shown for processes
which finished during the last interval, to get a complete overview about the
consumers of things such as CPU time.