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News cleanup
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IanLee1521 authored Dec 10, 2019
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6 changes: 1 addition & 5 deletions _posts/2016-11-03-conduit-0.2.0.md
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Expand Up @@ -3,9 +3,7 @@ title: "Conduit 0.2.0 Released"
tags: new-release
---

Version 0.2.0 of Conduit is now available at: http://software.llnl.gov/conduit/releases.html

Conduit provides APIs focused on simplifying data exchange in HPC simulations. It provides an intuitive model for describing hierarchical scientific data in C++, C, Fortran, and Python and is used for data coupling between packages in-core, serialization, and I/O tasks.
Conduit [version 0.2.0](https://github.com/LLNL/conduit/releases/tag/v0.2.0) is now available. Conduit provides APIs focused on simplifying data exchange in HPC simulations. It provides an intuitive model for describing hierarchical scientific data in C++, C, Fortran, and Python and is used for data coupling between packages in-core, serialization, and I/O tasks.

The 0.2.0 release includes:

Expand All @@ -14,5 +12,3 @@ The 0.2.0 release includes:
- Added support for building on Windows
- Added ``conduit::blueprint`` verify support and examples for the mcarray and mesh protocols
- Added extensive HDF5 I/O support to ``conduit::relay`` for reading and writing between HDF5 files and conduit Node trees

For more details, see Conduit's [Release Notes](http://software.llnl.gov/conduit/releases.html#v0-2-0).
8 changes: 2 additions & 6 deletions _posts/2017-01-06-conduit-0.2.1.md
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Expand Up @@ -3,14 +3,10 @@ title: "Conduit 0.2.1 Released"
tags: new-release
---

Version 0.2.1 of Conduit is now available at: https://software.llnl.gov/conduit/releases.html
Conduit [version 0.2.1](https://github.com/LLNL/conduit/releases/tag/v0.2.1) is now available. Conduit provides APIs focused on simplifying data exchange in HPC simulations. It provides an intuitive model for describing hierarchical scientific data in C++, C, Fortran, and Python and is used for data coupling between packages in-core, serialization, and I/O tasks.

Conduit provides APIs focused on simplifying data exchange in HPC simulations. It provides an intuitive model for describing hierarchical scientific data in C++, C, Fortran, and Python and is used for data coupling between packages in-core, serialization, and I/O tasks.

The 0.2.1 version is primarily a bug fix releases, which includes:
The 0.2.1 version is primarily a bug fix release, which includes:

- Fixes to support static builds, including on BGQ using xlc and gcc
- Bug fixes for Blueprint verify routines.
- The elimination of separate Fortran libs by moving Fortran symbols into their associated main libs

For more details, see Conduit's [Release Notes](https://software.llnl.gov/conduit/releases.html#v0-2-1).
2 changes: 1 addition & 1 deletion _posts/2017-01-28-mfem-3.3.md
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Expand Up @@ -5,7 +5,7 @@ tags: new-release

Version 3.3 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: [http://mfem.org](http://mfem.org)

The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to [exascale supercomputers](https://exascaleproject.org/2016/11/11/ecp_co-design_centers).
The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to exascale supercomputers.

It has many features, including:

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2 changes: 1 addition & 1 deletion _posts/2018-10-01-sundials-3.2.md
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Expand Up @@ -5,4 +5,4 @@ tags: new-release

This latest release includes a constraint handling in CVODE/CVODES, hybrid MPI/CUDA support, and a number of bug fixes and build system updates. In addition, the SUNDIALS team has put out a development release, v4.0.0-dev.2, which includes encapsulated nonlinear solvers for all time integrators, streamlining of the linear solver interfaces in CVODE, ARKode, IDA, and KINSOL, and a reorganization of ARKode to allow for more time stepping options. The development release is another step toward a larger major release scheduled for the end of 2018. The full 4.0.0 release will also include the streamlined linear solver interfaces for CVODES and IDAS as well as a two-rate explicit/explicit integrator.

Read more about [v3.2](https://ccomputing.llnl.gov/projects/sundials/sundials-software) and the complete SUNDIALS [release history](https://computing.llnl.gov/projects/sundials/release-history) including v4.0.0-dev.2. Downloads are available from the SUNDIALS [website](https://computing.llnl.gov/projects/sundials) and [GitHub](https://github.com/LLNL/sundials).
Read more about [v3.2](https://computing.llnl.gov/projects/sundials/sundials-software) and the complete SUNDIALS [release history](https://computing.llnl.gov/projects/sundials/release-history) including v4.0.0-dev.2. Downloads are available from the SUNDIALS [website](https://computing.llnl.gov/projects/sundials) and [GitHub](https://github.com/LLNL/sundials).
2 changes: 1 addition & 1 deletion _posts/2018-11-01-ghuniverse.md
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Expand Up @@ -3,6 +3,6 @@ title: "Good Times at GitHub Universe"
tags: trip-report
---

LLNL open-source champions [Laura Weber](https://github.com/LRWeber), [Ian Lee](https://github.com/IanLee1521), and [David Beckingsale](https://github.com/davidbeckingsale) attended the [2018 GitHub Universe](https://githubuniverse.com/program/) conference in San Francisco. Billed as “a conference for the builders, planners, and leaders defining the future of software”, the team enjoyed hearing about upcoming GitHub enhancements and being able to network with GitHub Federal employees and other GitHub users.
LLNL open-source champions [Laura Weber](https://github.com/LRWeber), [Ian Lee](https://github.com/IanLee1521), and [David Beckingsale](https://github.com/davidbeckingsale) attended the 2018 GitHub Universe conference in San Francisco. Billed as “a conference for the builders, planners, and leaders defining the future of software”, the team enjoyed hearing about upcoming GitHub enhancements and being able to network with GitHub Federal employees and other GitHub users.

One recurring theme was inner source, the use of open source software development best practices and the establishment of an open-source-like culture within organizations. With this practice the organization may still develop proprietary software, but internally opens up its development.
6 changes: 3 additions & 3 deletions _posts/2018-11-26-unify.md
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---
title: "New Repo: UnifyCR"
title: "New Repo: Unify"
tags: new-repo
---

Expand All @@ -9,8 +9,8 @@ Unify is a suite of specialized, flexible file systems -- the first is available

Like much of LLNL’s HPC performance improvement software, Unify is open source. The first Unify file system, [UnifyCR](https://github.com/LLNL/UnifyCR) (for checkpoint/restart workloads), is already available on GitHub. The team is working on another file system in the Unify “family” designed for machine learning workloads, in which large data sets need to be distributed quickly. Additional Unify file systems are in development.

- [UnifyCR on GitHub](https://github.com/LLNL/UnifyCR)
- [UnifyCR Read the Docs](http://unifycr.readthedocs.io/en/dev/)
- [Unify on GitHub]( https://github.com/LLNL/UnifyFS)
- [Unify Read the Docs]( https://unifyfs.readthedocs.io/en/latest/)
- [Exascale Computing Project](https://exascale.llnl.gov/)
- [CASC Newsletter, Volume 4](https://computing.llnl.gov/casc/newsletter/vol-4#exascale)
- News article: [New ‘Unify’ File Systems Deliver Fast I/O Performance over Distributed Storage](https://computing.llnl.gov/newsroom/new-unify-file-systems-deliver-fast-io-performance-over-distributed-storage)
2 changes: 1 addition & 1 deletion _posts/2018-12-28-cardioid.md
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Expand Up @@ -9,5 +9,5 @@ This project's history goes back a few years -- it was a finalist for the 2012 G

- [Cardioid on GitHub](https://github.com/llnl/cardioid) - for best results, compile with [Spack](https://github.com/spack/spack)
- Video: [The Cardioid Project: Simulating the Human Heart](https://computing.llnl.gov/cardioid-project-simulating-human-heart-0)
- *Science & Technology Review* article: [Venturing into the Heart of High-Performance Computing Simulations](https://str.llnl.gov/Sep12/streitz.html)
- *Science & Technology Review* article: [Venturing into the Heart of High-Performance Computing Simulations]( https://str.llnl.gov/content/pages/past-issues-pdfs/2012.09.pdf)
- *Science & Technology Review* article: [Reaching for New Computational Heights with Sequoia](https://str.llnl.gov/july-2013/mccoy) - Cardioid helped set speed records for the Sequoia supercomputer by clocking in at nearly 12 petaflops while scaling with better than 90% parallel efficiency across all 1,572,864 cores
10 changes: 5 additions & 5 deletions _posts/2019-02-25-unify-0.2.0.md
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---
title: "UnifyCR 0.2.0 Released"
title: "Unify 0.2.0 Released"
tags: new-release
---

Unify is a suite of specialized, flexible file systems -- this one is for checkpoint/restart workloads -- that can be included in a user’s job allocations. This v0.2.0 release builds on the repo's initial release from January.
Unify is a suite of specialized, flexible file systems—this one is for checkpoint/restart workloads—that can be included in a user’s job allocations. This v0.2.0 release builds on the repo's initial release from January.

Learn more:
- [Release notes](https://github.com/LLNL/UnifyCR/releases/tag/v0.2.0)
- [GitHub repo](https://github.com/LLNL/UnifyCR)
- [Documentation](https://unifycr.readthedocs.io/en/dev/)
- [Release notes]( https://github.com/LLNL/UnifyFS/releases/tag/v0.2.0)
- [GitHub repo]( https://github.com/LLNL/UnifyFS)
- [Documentation]( https://unifyfs.readthedocs.io/en/latest/)
- [Unify: Distributed Burst Buffer File System](https://computing.llnl.gov/projects/unify)
- News article: [New ‘Unify’ File Systems Deliver Fast I/O Performance over Distributed Storage](https://computing.llnl.gov/newsroom/new-unify-file-systems-deliver-fast-io-performance-over-distributed-storage)
2 changes: 1 addition & 1 deletion _posts/2019-04-17-memsurfer-1.0.md
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Expand Up @@ -6,5 +6,5 @@ tags: new-release
This is MemSurfer's initial release. MemSurfer is an efficient and versatile tool to compute and analyze membrane surfaces found in a wide variety of large-scale molecular simulations. MemSurfer works independent of the type of simulation, directly on the 3D point coordinates, and can handle a variety of membranes as well as atomic simulations. It provides many in-built analysis tasks, such as computing the membrane curvature, density and normals of lipids, and area per lipid.

Learn more:
- [Release notes](https://github.com/LLNL/MemSurfer/releases/tag/1.0)
- [Release notes](https://github.com/LLNL/MemSurfer/releases)
- [GitHub repo & documentation](https://github.com/LLNL/MemSurfer)
2 changes: 1 addition & 1 deletion _posts/2019-05-06-lmt-3.2.6.md
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Expand Up @@ -6,5 +6,5 @@ tags: new-release
The Lustre Monitoring Tools (LMT) repo is a distributed system that provides a "top"-like display of the activity levels of the server-side (MDS, OSSes, and LNET routers) nodes of one or more Lustre-based filesystems. This release includes support for Lustre 2.12.0.

Learn more:
- [Release notes](github.com/LLNL/lmt/releases/tag/3.2.6)
- [Release notes](https://github.com/LLNL/lmt/releases/tag/3.2.6)
- [GitHub repo](https://github.com/LLNL/lmt)
2 changes: 1 addition & 1 deletion _posts/2019-06-14-blt-0.2.5.md
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Expand Up @@ -10,5 +10,5 @@ LLNL initially released BLT in 2017, and now v0.2.0 and v0.2.5 are available.
Learn more:
- [Release notes](https://github.com/LLNL/blt/releases)
- [GitHub repo](https://github.com/LLNL/blt)
- [Documentation](https://llnl-blt.readthedocs.io/en/latest/)
- [Documentation](https://llnl-blt.readthedocs.io/en/develop/)
- [BLT: Build, Link, and Test](https://computing.llnl.gov/projects/blt-build-link-test)
2 changes: 1 addition & 1 deletion _posts/2019-10-03-rescalsnow-new.md
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Expand Up @@ -3,4 +3,4 @@ title: "New Repo: Rescal-snow"
tags: new-repo
---

[Rescal-snow](https://github.com/LLNL/Rescal-snow) is a model of dunes and snow waves. When wind blows over snow, it self-organizes. This forms surface features, such as ripples and dunes, that alter the reflectivity and thermal conductivity of the snow. Studying these features in the field is cold and challenging, so Rescal-snow was created to enable snow scientists to study snow features in controlled numerical experiments. This modelis intended for researchers in snow science, geomorphology, and polar climate.
[Rescal-snow](https://github.com/LLNL/Rescal-snow) is a model of dunes and snow waves. When wind blows over snow, it self-organizes. This forms surface features, such as ripples and dunes, that alter the reflectivity and thermal conductivity of the snow. Studying these features in the field is cold and challenging, so Rescal-snow was created to enable snow scientists to study snow features in controlled numerical experiments. This model is intended for researchers in snow science, geomorphology, and polar climate.
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---
title: "Spack 0.12 Released"
title: "Spack 0.13 Released"
tags: new-release
---

[Spack](https://github.com/spack) is a flexible, configurable, Python-based, and open-source HPC package manager. Spack automates the installation and fine-tuning of simulations and libraries, operating on a wide variety of HPC platforms and enabling users to build many code configurations.

Spack grew by over 700 packages in the past year -- now more than 3,500 total -- and the project now has over 450 contributors. v0.12 is a major release:
Spack grew by over 700 packages in the past year -- now more than 3,500 total -- and the project now has over 450 contributors. v0.13 is a major release:
- environments behaving more like virtualenv/conda
- combinatorial environments for facility deployment
- ability to build easily navigable symlink trees environments
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2 changes: 1 addition & 1 deletion _posts/2019-10-26-conduit-0.5.md
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Expand Up @@ -5,7 +5,7 @@ tags: new-release

Conduit provides an intuitive model for describing hierarchical scientific data in C++, C, Fortran, and Python. It is used for data coupling between packages in-core, serialization, and I/O tasks. The Core API provides a flexible way to describe and access hierarchical data. v0.5 includes:
- node set support for Python tuples and Numpy String Arrays
- new blueprints for topoloigcal data generation and ZFP compressed array data
- new blueprints for topological data generation and ZFP compressed array data
- new relays to support ZFP and HPF5 I/O

Learn more:
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