PadicoTM is composed of a core which provides a high-performance framework for networking and multi-threading, and services plugged into the core. High-performance communications and threads are obtained thanks to Marcel and Madeleine, provided by the PM2 software suite. The PadicoTM core aims at making the different services running at the same time run in a cooperative way rather than competitive.

Puk is the core of PadicoTM. It manages dynamically loadable modules, software components, and basic data structures (lists, vectors, hashtables, lock-free queues).

MadMPI benchmark contains the following benchmark series: - base send/recv benchmark, used for reference (mpi_bench_base); - communication/computation overlap benchmark (mpi_bench_overlap); - tag-matching performance with tags of posted receives in order and out of order (mpi_bench_reqs); - multi-threaded communications benchmark (mpi_bench_thread) // preliminary version, still incomplete. Benchmarks are point-to-point, running on two nodes. Collective operations are not benchmarked yet.

Test mumps

Test mumps

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

OpenBLAS is a Basic Linear Algebra Subprograms (BLAS) library forked from the GotoBLAS2-1.13 BSD version.

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

Likwid is a simple to install and use toolsuite of command line applications and a library for performance oriented programmers. It works for Intel, AMD, ARMv8 and POWER9 processors on the Linux operating system. There is additional support for Nvidia GPUs. There is support for ARMv7 and POWER8 but there is currently no test machine in our hands to test them properly. Note that in this recipe we compile the package with ACCESSMODE=perf_event because we lack the root privileges on HPC platforms. One of the implications is that thermic measures are disabled. See the Wiki on the home page of the package for more details.

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute.

Python client library for visual regression testing with Percy (https://percy.io).

Core component suite for Dash.

Flask is a micro web framework based on the Werkzeug toolkit and Jinja2 template engine. It is called a micro framework because it does not presume or force a developer to use a particular tool or library.

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute. This is the fork of Marek Felšöci.

Example of a Dash library that uses Flow Types.

Deferring loading of JS files until after React loads.

Dash table.

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute. This is a minimal version without the dashboard functionality. This is the fork of Marek Felšöci.

Vanilla HTML components for Dash.

One of the most advanced WSGI utility modules. It includes a powerful debugger, full-featured request and response objects, HTTP utilities to handle entity tags, cache control headers, HTTP dates, cookie handling, file uploads, a powerful URL routing system and a bunch of community-contributed addon modules.

Bootstrap themed components for use in Plotly Dash.

This package provides a dash component for specifying raw HTML.

This package provides a Python framework for building reactive web-apps. Developed by Plotly.

gcvb (generate compute validate benchmark) is a Python 3 module aiming at facilitating non-regression, validation and benchmarking of simulation codes. gcvb is not a complete tool of continuous integration (CI). It is rather a component of the testing part of a CI workflow. It can compare the different metrics of your computation with references that can be a file, depends of the 'configuration' or are absolute. This is a minimal version without the dashboard functionality.