Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors.

mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point and collective communications of any picklable Python object as well as optimized communications of Python objects (such as NumPy arrays) that expose a buffer interface.

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver also provides some low-rank compression methods to reduce the memory footprint and/or the time-to-solution.

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver also provides some low-rank compression methods to reduce the memory footprint and/or the time-to-solution.

Example showing how to use starpu for implementing a distributed gemm.

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

Chameleon is a dense linear algebra solver relying on sequential task-based algorithms where sub-tasks of the overall algorithms are submitted to a run-time system. Such a system is a layer between the application and the hardware which handles the scheduling and the effective execution of tasks on the processing units. A run-time system such as StarPU is able to manage automatically data transfers between not shared memory area (CPUs-GPUs, distributed nodes).

Assembles fem matrices using an efficient vectorization method.

Linear algebra package implementing advanced parallel domain decomposition methods.

GCC is the GNU Compiler Collection. It provides compiler front-ends for several languages, including C, C++, Objective-C, Fortran, Ada, and Go. It also includes runtime support libraries for these languages.

This package provides a complete GCC tool chain for Fortran development to be installed in user profiles. This includes gfortran, as well as libc (headers and binaries, plus debugging symbols in the debug output), and binutils.

This package provides a complete GCC tool chain for Fortran development to be installed in user profiles. This includes gfortran, as well as libc (headers and binaries, plus debugging symbols in the debug output), and binutils.

ViTE is a trace explorer. It is a tool to visualize execution traces of parallel programs (OpenMP, MPI, etc.) in Pajé or OTF format for debugging and profiling parallel or distributed applications. Such traces can be obtained using, for example, EZTrace.

docopt helps you: - define the interface for your command-line app, and - automatically generate a parser for it. docopt is based on conventions that have been used for decades in help messages and man pages for describing a program's interface. An interface description in docopt is such a help message, but formalized.

SIONlib is a library for writing and reading data from several thousands of parallel tasks into/from one or a small number of physical files.

GUIX package for the SZ compressor.

FTI stands for Fault Tolerance Interface and is a library that aims to give computational scientists the means to perform fast and efficient multilevel checkpointing in large scale supercomputers.

GUIX package for the SZ3 compressor.

zfp is a compressed number format for multi-dimensional arrays. zfp provides compressed-array classes (e.g., for in-memory storage) and high-speed, parallel data compression (e.g., for offline storage). zfp supports both lossy and lossless compression and fine-grained user control over accuracy and storage size.

Redox is a C++ interface to the Redis key-value store that makes it easy to write applications that are both elegant and high-performance. Communication should be a means to an end, not something we spend a lot of time worrying about. Redox takes care of the details so you can move on to the interesting part of your project.

Expect tests are a method of writing tests where instead of hard-coding the expected output of a test, you run the test to get the output, and the test framework automatically populates the expected output.