All Projects → julea-io → julea

julea-io / julea

Licence: LGPL-3.0, GPL-3.0 licenses found Licenses found LGPL-3.0 COPYING.LESSER GPL-3.0 COPYING
A Flexible Storage Framework for HPC

Programming Languages

c
50402 projects - #5 most used programming language
Meson
512 projects

Projects that are alternatives of or similar to julea

blas-benchmarks
Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R
Stars: ✭ 24 (-4%)
Mutual labels:  hpc, high-performance-computing
Geopm
Global Extensible Open Power Manager
Stars: ✭ 57 (+128%)
Mutual labels:  hpc, high-performance-computing
cruise
User space POSIX-like file system in main memory
Stars: ✭ 27 (+8%)
Mutual labels:  hpc, file-system
ParallelUtilities.jl
Fast and easy parallel mapreduce on HPC clusters
Stars: ✭ 28 (+12%)
Mutual labels:  hpc, high-performance-computing
Sundials
SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are welcome for bug fixes and minor changes.
Stars: ✭ 194 (+676%)
Mutual labels:  hpc, high-performance-computing
Batchtools
Tools for computation on batch systems
Stars: ✭ 127 (+408%)
Mutual labels:  hpc, high-performance-computing
Mfem
Lightweight, general, scalable C++ library for finite element methods
Stars: ✭ 667 (+2568%)
Mutual labels:  hpc, high-performance-computing
vpic
Vector Particle-In-Cell (VPIC) Project
Stars: ✭ 124 (+396%)
Mutual labels:  hpc, high-performance-computing
Opencoarrays
A parallel application binary interface for Fortran 2018 compilers.
Stars: ✭ 151 (+504%)
Mutual labels:  hpc, high-performance-computing
Dash
DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science
Stars: ✭ 134 (+436%)
Mutual labels:  hpc, high-performance-computing
Relion
Image-processing software for cryo-electron microscopy
Stars: ✭ 219 (+776%)
Mutual labels:  hpc, high-performance-computing
t8code
Parallel algorithms and data structures for tree-based AMR with arbitrary element shapes.
Stars: ✭ 37 (+48%)
Mutual labels:  hpc, high-performance-computing
Laghos
High-order Lagrangian Hydrodynamics Miniapp
Stars: ✭ 131 (+424%)
Mutual labels:  hpc
RamaNet
Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
Stars: ✭ 41 (+64%)
Mutual labels:  hpc
hpc
Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )
Stars: ✭ 39 (+56%)
Mutual labels:  hpc
LvArray
Portable HPC Containers (C++)
Stars: ✭ 37 (+48%)
Mutual labels:  hpc
minstant
Performant time measuring in Rust
Stars: ✭ 109 (+336%)
Mutual labels:  high-performance-computing
luna
Provisioning tool for clusters
Stars: ✭ 58 (+132%)
Mutual labels:  hpc
awesome-aws-research
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS
Stars: ✭ 41 (+64%)
Mutual labels:  hpc
community datasets
Example datasets and dashboards known to work well in OmniSci
Stars: ✭ 14 (-44%)
Mutual labels:  hpc

JULEA

CI Dependencies

JULEA is a flexible storage framework that allows offering arbitrary I/O interfaces to applications. To be able to rapidly prototype new approaches, it offers object, key-value and database backends. Support for popular storage technologies such as POSIX, LevelDB and MongoDB is already included.

Additionally, JULEA allows dynamically adapting the I/O operations' semantics and can thus be adjusted to different use-cases. It runs completely in user space, which eases development and debugging. Its goal is to provide a solid foundation for storage research and teaching.

For more information, please refer to the documentation. There is also a separate API documentation available.

Quick Start

To use JULEA, first clone the Git repository and enter the directory.

$ git clone https://github.com/julea-io/julea.git
$ cd julea

JULEA has three mandatory dependencies (GLib, libbson and libfabric) and several optional ones that enable additional functionality. The dependencies can either be installed using your operating system's package manager or with JULEA's install-dependencies script that installs them into the dependencies subdirectory using Spack.

$ ./scripts/install-dependencies.sh

To allow the dependencies to be found, the JULEA environment has to be loaded. This also ensures that JULEA's binaries and libraries are found later. Make sure to load the script using . instead of executing it with ./ because the environment changes will not persist otherwise.

$ . scripts/environment.sh

JULEA now has to be configured using Meson and compiled using Ninja; the different configuration and build options can be shown with meson setup --help.

$ meson setup --prefix="${HOME}/julea-install" -Db_sanitize=address,undefined bld
$ ninja -C bld

Finally, a JULEA configuration has to be created.

$ julea-config --user \
  --object-servers="$(hostname)" --kv-servers="$(hostname)" --db-servers="$(hostname)" \
  --object-backend=posix --object-component=server --object-path="/tmp/julea-$(id -u)/posix" \
  --kv-backend=lmdb --kv-component=server --kv-path="/tmp/julea-$(id -u)/lmdb" \
  --db-backend=sqlite --db-component=server --db-path="/tmp/julea-$(id -u)/sqlite"

You can check whether JULEA works by executing the integrated test suite.

$ ./scripts/setup.sh start
$ ./scripts/test.sh
$ ./scripts/setup.sh stop

To get an idea about how to use JULEA from your own application, check out the example directory.

$ cd example
$ make run

The version is JULEA built using this guide is mainly meant for development and debugging. If you want to deploy a release version of JULEA, please refer to the documentation about installation and usage.

Citing JULEA

If you want to cite JULEA, please use the following paper:

  • JULEA: A Flexible Storage Framework for HPC (Michael Kuhn), In High Performance Computing, Lecture Notes in Computer Science (10524), (Editors: Julian Kunkel, Rio Yokota, Michela Taufer, John Shalf), Springer International Publishing, ISC High Performance 2017, Frankfurt, Germany, ISBN: 978-3-319-67629-6, 2017-11
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].