All Projects → Azure → az-hop

Azure / az-hop

Licence: MIT license
The Azure HPC On-Demand Platform provides an HPC Cluster Ready solution

Programming Languages

shell
77523 projects
HCL
1544 projects
Jinja
831 projects
Bicep
55 projects
python
139335 projects - #7 most used programming language
ruby
36898 projects - #4 most used programming language

Projects that are alternatives of or similar to az-hop

azurehpc
This repository provides easy automation scripts for building a HPC environment in Azure. It also includes examples to build e2e environment and run some of the key HPC benchmarks and applications.
Stars: ✭ 102 (+209.09%)
Mutual labels:  hpc, mpi, cyclecloud
Ohpc
OpenHPC Integration, Packaging, and Test Repo
Stars: ✭ 544 (+1548.48%)
Mutual labels:  hpc, mpi
Easylambda
distributed dataflows with functional list operations for data processing with C++14
Stars: ✭ 475 (+1339.39%)
Mutual labels:  hpc, mpi
ParMmg
Distributed parallelization of 3D volume mesh adaptation
Stars: ✭ 19 (-42.42%)
Mutual labels:  hpc, mpi
Foundations of HPC 2021
This repository collects the materials from the course "Foundations of HPC", 2021, at the Data Science and Scientific Computing Department, University of Trieste
Stars: ✭ 22 (-33.33%)
Mutual labels:  hpc, mpi
Mpich
Official MPICH Repository
Stars: ✭ 275 (+733.33%)
Mutual labels:  hpc, mpi
Ompi
Open MPI main development repository
Stars: ✭ 1,221 (+3600%)
Mutual labels:  hpc, mpi
PartitionedArrays.jl
Vectors and sparse matrices partitioned into pieces for parallel distributed-memory computations.
Stars: ✭ 45 (+36.36%)
Mutual labels:  hpc, mpi
Core
parallel finite element unstructured meshes
Stars: ✭ 124 (+275.76%)
Mutual labels:  hpc, mpi
Dash
DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science
Stars: ✭ 134 (+306.06%)
Mutual labels:  hpc, mpi
Hpcinfo
Information about many aspects of high-performance computing. Wiki content moved to ~/docs.
Stars: ✭ 171 (+418.18%)
Mutual labels:  hpc, mpi
pyccel
Python extension language using accelerators
Stars: ✭ 189 (+472.73%)
Mutual labels:  hpc, mpi
gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI
Stars: ✭ 227 (+587.88%)
Mutual labels:  hpc, mpi
Ucx
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
Stars: ✭ 471 (+1327.27%)
Mutual labels:  hpc, mpi
wxparaver
wxParaver is a trace-based visualization and analysis tool designed to study quantitative detailed metrics and obtain qualitative knowledge of the performance of applications, libraries, processors and whole architectures.
Stars: ✭ 23 (-30.3%)
Mutual labels:  hpc, mpi
Hiop
HPC solver for nonlinear optimization problems
Stars: ✭ 75 (+127.27%)
Mutual labels:  hpc, mpi
yask
YASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.
Stars: ✭ 81 (+145.45%)
Mutual labels:  hpc, mpi
dbcsr
DBCSR: Distributed Block Compressed Sparse Row matrix library
Stars: ✭ 65 (+96.97%)
Mutual labels:  hpc, mpi
Training Material
A collection of code examples as well as presentations for training purposes
Stars: ✭ 85 (+157.58%)
Mutual labels:  hpc, mpi
Batch Shipyard
Simplify HPC and Batch workloads on Azure
Stars: ✭ 240 (+627.27%)
Mutual labels:  hpc, mpi

Daily Deployment

Azure HPC On-Demand Platform, your deployment to be HPC-Ready!

Azure HPC On-Demand Platform (az-hop), provides the end-to-end deployment mechanism for a base HPC infrastructure on Azure. az-hop delivers a complete HPC cluster solution ready for users to run applications, which is easy to deploy and manage for HPC administrators. az-hop leverages the various Azure building blocks and can be used as-is, or easily customized and extended to meet any uncovered requirements. Industry standard tools like Terraform, Ansible and Packer are used to provision and configure this environment containing :

  • An HPC OnDemand Portal for all user access, remote shell access, remote visualization access, job submission, file access and more,
  • An Active Directory for user authentication and domain control,
  • Open PBS or SLURM as a Job Scheduler,
  • Dynamic resources provisioning and autoscaling is done by Azure CycleCloud pre-configured job queues and integrated health-checks to quickly avoid non-optimal nodes,
  • A Jumpbox to provide admin access,
  • A common shared file system for home directory and applications is delivered by Azure Netapp Files,
  • A Lustre parallel filesystem using local NVME for high performance that automatically archives to Azure Blob Storage using the Robinhood Policy Engine and Azure Storage data mover,
  • Grafana dashboards to monitor your cluster,
  • Remote Visualization with noVNC and GPU acceleration with VirtualGL.

Please check the whole azhop documentation here.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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].