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.
Monitor for system resources and process activity

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.