Updated submodules to v6.0 release

giltirn · giltirn · commit 771192289515 · 2022-12-16T15:52:09.000-05:00
Updated readme
diff --git a/ChimbukoVisualizationII b/ChimbukoVisualizationII
@@ -1 +1 @@
-Subproject commit f64a6ebff63a6da0d6039845fbc643dd2f67ff15
+Subproject commit 387db65b9fb0dd92c59a4a3ce2ee212c6405e20e
diff --git a/PerformanceAnalysis b/PerformanceAnalysis
@@ -1 +1 @@
-Subproject commit 7177158badceeb0239dc719c68808779dc7c81dd
+Subproject commit e115b27c695f53de4ed838899cb7ee79916fb462
diff --git a/README.md b/README.md
@@ -27,13 +27,11 @@ Detailed documentation on the API, installation and usage of the Chimbuko "Perfo
 
 ## Releases
 
-The current v5.5 release includes:
-- Significant improvements to thread scalability of the parameter server
-- Major improvements to histogram creation and merging to improve the correctness of the AD model for HBOS and COPOD algorithms
-- Improvements to the implementation of the HBOS and COPOD algorithms based on extensive testing
-- Expanded function profile capture in the global provenance database to include runtime and anomaly statistics by function
-- Expanded options for controlling Chimbuko's functionality including the ability to skip anomaly detection for certain functions and changing the frequency the analysis is performed
-- Expanded functionality for interacting with the provenance database through Python scripts
+The current v6.0 release includes:
+- An overhaul of the visualization frontend workflow allowing for easier isolation of problematic ranks/functions
+- New offline analysis tools including summary generation for single runs and for between-run analysis
+- Significant enhancements to the utility of the provenance data including incorporating system state information from TAU's monitoring plugin
+- Improved workflow support
 - Various fixes and optimizations
 
 ### [Chimbuko Data Analysis](https://github.com/CODARcode/PerformanceAnalysis)
