fix old links

Author: hauten

_posts/2018-11-26-unify.md

@@ -11,5 +11,4 @@ Like much of LLNL’s HPC performance improvement software, Unify is open source
 
 - [Unify on GitHub](https://github.com/LLNL/UnifyFS)
 - [Unify 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)

_posts/2019-05-03-dcd-article.md

@@ -5,6 +5,6 @@ categories: story
 
 Artificial intelligence tools are revolutionizing scientific research and changing the needs of high performance computing. In a [Data Center Dynamics article](https://www.datacenterdynamics.com/analysis/how-machine-learning-could-change-science/), LLNL's Fred Streitz and [Brian Van Essen](https://github.com/bvanessen) discuss the future of scientific computing, highlighting the Exascale Computing Project (ECP) and the Livermore Big Artificial Neural Network (LBANN).
 
-The [ECP](https://exascale.llnl.gov/) is a multi-institutional Department of Energy collaboration aimed at achieving exascale computing capability. Many open source software projects, from LLNL and elsewhere, are crucial components of the ECP ecosystem.
+The ECP is a multi-institutional Department of Energy collaboration aimed at achieving exascale computing capability. Many open source software projects, from LLNL and elsewhere, are crucial components of the ECP ecosystem.
 
 [LBANN](https://github.com/LLNL/lbann) is an open source deep learning toolkit developed at the Lab. It provides model-parallel acceleration through domain decomposition to optimize for strong scaling of network training.