From efe3a92db6bad14301404c0268a0543deed5db85 Mon Sep 17 00:00:00 2001
From: "Jeffrey T. Palmer"
Date: Mon, 8 May 2017 07:47:48 -0400
Subject: [PATCH 1/4] Update Open XDMoD overview
---
docs/index.md | 62 ++++++++++++++++++++++++++-------------------------
1 file changed, 32 insertions(+), 30 deletions(-)
diff --git a/docs/index.md b/docs/index.md
index 8a9f2b6622..1a605b4459 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -2,42 +2,44 @@
title: Open XDMoD
---
-XDMoD (XD Metrics on Demand) is an NSF-funded open source tool designed
-to audit and facilitate the utilization of the XSEDE cyberinfrastructure
-by providing a wide range of metrics on XSEDE resources, including
-resource utilization, resource performance, and impact on scholarship
-and research. The [XDMoD](https://xdmod.ccr.buffalo.edu/) framework is
-designed to meet the following objectives: (1) provide the user
-community with a tool to manage their allocations and optimize their
-resource utilization, (2) provide operational staff with the ability to
-monitor and tune resource performance, (3) provide management with a
-tool to monitor utilization, user base, and performance of resources,
-and (4) provide metrics to help measure scientific impact. While
-initially focused on the XSEDE program, Open XDMoD has been created to
-be adaptable to any HPC environment.
-
-The framework includes a computationally lightweight application kernel
-auditing system that utilizes performance kernels chosen from both
-low-level benchmarks and actual scientific and engineering applications
-to measure overall system performance from the user’s perspective. This
-allows continuous resource monitoring to measure all aspects of system
-performance including file-system, processor, and memory performance,
-and network latency and bandwidth. Current and past utilization
-metrics, coupled with application kernel-based performance analysis, can
-be used to help guide future cyberinfrastructure investment decisions,
-plan system upgrades, tune machine performance, improve user job
-throughput, and facilitate routine system operation and maintenance.
+Open XDMoD is an open source tool to facilitate the management of high
+performance computing resources. It is widely deployed at academic,
+industrial and governmental HPC centers. Open XDMoD's management
+capabilities include monitoring standard metrics such as utilization,
+providing quality of service metrics designed to proactively identify
+underperforming system hardware and software, and reporting job level
+performance data for every job running on the HPC system without the
+need to recompile applications. Open XDMoD is designed to meet the
+following objectives: (1) provide the user community with a tool to more
+effectively and efficiently use their allocations and optimize their use
+of HPC resources, (2) provide operational staff with the ability to
+monitor, diagnose, and tune system performance as well as measure the
+performance of all applications running on their system, (3) provide
+software developers with the ability to easily obtain detailed analysis
+of application performance to aid in optimizing code performance, (4)
+provide stakeholders with a diagnostic tool to facilitate HPC planning
+and analysis, and (5) provide metrics to help measure scientific impact.
+In addition, analyses of the operational characteristics of the HPC
+environment can be carried out at different levels of granularity,
+including job, user, or on a system-wide basis.
+
+The Open XDMoD portal provides a rich set of features accessible through
+an intuitive graphical interface, which is tailored to the role of the
+user. Metrics provided include: number of jobs, CPUs consumed, wait
+time, and wall time, with minimum, maximum and the average of these
+metrics, in addition to many others. Metrics are organized by a
+customizable hierarchy appropriate for your organization.
+
+A version of Open XDMoD, namely [XDMoD](https://xdmod.ccr.buffalo.edu/),
+was developed to monitor the NSF supported portfolio of supercomputers
+that fall under the [XSEDE](https://www.xsede.org/) program.
This work was sponsored by NSF under grant numbers
-[ACI 1025159][nsf-1025159] and [ACI 1445806][nsf-1445806] for the
-development of technology audit service for XSEDE.
+[ACI 1025159][nsf-1025159] and [ACI 1445806][nsf-1445806].
[nsf-1025159]: http://nsf.gov/awardsearch/showAward?AWD_ID=1025159
[nsf-1445806]: http://nsf.gov/awardsearch/showAward?AWD_ID=1445806
-**NOTE**: Not all of the XDMoD features mentioned above are currently
-available in Open XDMoD.
-
For more information, questions, or feedback send email to
`ccr-xdmod-help` at `buffalo.edu`.
From 97c879eff8895f40f8ff9afd0b5d9068d769f5a2 Mon Sep 17 00:00:00 2001
From: Steve Gallo
Date: Mon, 8 May 2017 10:40:08 -0400
Subject: [PATCH 2/4] Updated publications and presentations
---
html/about/presentations.html | 10 ++++++++++
html/about/publications.html | 10 ++++++++++
2 files changed, 20 insertions(+)
diff --git a/html/about/presentations.html b/html/about/presentations.html
index 89fdf428d7..4b61ff79ab 100644
--- a/html/about/presentations.html
+++ b/html/about/presentations.html
@@ -2,6 +2,16 @@
Presentations
+SC16: Salt Lake City, UT
+
+
+XSEDE16: Miami, Fl
+
+
HPCMASPA 2015: Chicago, IL
+
+
+2017:
+
+- Joseph White, Martins Innus, Matthew Jones, Robert DeLeon, Nikolay A. Simakov, Jeffery Palmer, Steven Gallo, Thomas Furlani, Michael Showerman, Robert Brunner, Andriy Kot, Gregory Bauer, Brett Bode, Jeremy Enos and William Kramer, "Challenges of workload analysis on large HPC systems; a case study on NCSA Blue Waters". Accepted for PEARC 17.
+
+- Ben Fulton, Steven Gallo, Matt Link, Robert Henschel, Tom Yearke, Katy Borner, Robert L. DeLeon, Thomas Furlani and Craig A. Stewart, "Value Analytics: A Financial Module for the Open XDMoD Project". Accepted for PEARC 17.
+
+
+
2016:
- Nikolay Simakov, Robert L. DeLeon, Joseph P. White, Thomas R. Furlani, Martins Innus, Steven M. Gallo, Matthew D. Jones, Abani Patra, Benjamin D. Plessinger, Jeanette M. Sperhac, Thomas Yearke, Ryan Rathsam, Jeffrey T. Palmer "A quantitative Analysis of node Sharing on HPC Clusters Using XDMoD Application Kernels" , XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale (Article No. 32 ). Miami, FL. 10.1145/2949550.2949553
From 4bf3cd8a356e7c558aadb059606a66bb1e143c2e Mon Sep 17 00:00:00 2001
From: Steve Gallo
Date: Mon, 8 May 2017 10:42:59 -0400
Subject: [PATCH 3/4] Fix capitalization
---
html/about/presentations.html | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/html/about/presentations.html b/html/about/presentations.html
index 4b61ff79ab..9058274d8a 100644
--- a/html/about/presentations.html
+++ b/html/about/presentations.html
@@ -7,7 +7,7 @@
- Data Analytics Support for HPC System Management
-XSEDE16: Miami, Fl
+XSEDE16: Miami, FL
From ef06c9c055f211cadd940d426381a7881dddab25 Mon Sep 17 00:00:00 2001
From: Steve Gallo
Date: Mon, 8 May 2017 10:57:49 -0400
Subject: [PATCH 4/4] Additional capitalization changes
---
html/about/publications.html | 5 +----
1 file changed, 1 insertion(+), 4 deletions(-)
diff --git a/html/about/publications.html b/html/about/publications.html
index 0d8cf27dd0..630fa97421 100644
--- a/html/about/publications.html
+++ b/html/about/publications.html
@@ -8,8 +8,6 @@
10.1109/MCSE.2015.68
-
-
2017:
- Joseph White, Martins Innus, Matthew Jones, Robert DeLeon, Nikolay A. Simakov, Jeffery Palmer, Steven Gallo, Thomas Furlani, Michael Showerman, Robert Brunner, Andriy Kot, Gregory Bauer, Brett Bode, Jeremy Enos and William Kramer, "Challenges of workload analysis on large HPC systems; a case study on NCSA Blue Waters". Accepted for PEARC 17.
@@ -17,10 +15,9 @@
- Ben Fulton, Steven Gallo, Matt Link, Robert Henschel, Tom Yearke, Katy Borner, Robert L. DeLeon, Thomas Furlani and Craig A. Stewart, "Value Analytics: A Financial Module for the Open XDMoD Project". Accepted for PEARC 17.
-
2016:
-- Nikolay Simakov, Robert L. DeLeon, Joseph P. White, Thomas R. Furlani, Martins Innus, Steven M. Gallo, Matthew D. Jones, Abani Patra, Benjamin D. Plessinger, Jeanette M. Sperhac, Thomas Yearke, Ryan Rathsam, Jeffrey T. Palmer "A quantitative Analysis of node Sharing on HPC Clusters Using XDMoD Application Kernels" , XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale (Article No. 32 ). Miami, FL. 10.1145/2949550.2949553
+- Nikolay Simakov, Robert L. DeLeon, Joseph P. White, Thomas R. Furlani, Martins Innus, Steven M. Gallo, Matthew D. Jones, Abani Patra, Benjamin D. Plessinger, Jeanette M. Sperhac, Thomas Yearke, Ryan Rathsam, Jeffrey T. Palmer "A Quantitative Analysis of Node Sharing on HPC Clusters Using XDMoD Application Kernels" , XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale (Article No. 32 ). Miami, FL. 10.1145/2949550.2949553
2015: