CyberShake Study 13.4 - Revision history

Scottcal: /* Application-level metrics */

2022-02-02T19:20:23Z

Application-level metrics

2018-02-06T16:43:17Z

2016-03-04T18:37:18Z

Data Products

2016-03-04T18:34:56Z

Data Products

2016-03-02T20:27:42Z

2014-03-26T16:58:46Z

Application-level metrics

2014-03-26T16:57:52Z

Application-level metrics

2013-10-18T21:33:15Z

Application-level metrics

2013-10-18T21:33:00Z

Application-level metrics

2013-10-18T21:32:37Z

Application-level metrics

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 * 284 sites (we completed 2 during the testing for a total of 286)
 * 1132 pairs of SGTs - 43 TB of SGTs
 * 9656 jobs executed
 * On average, 8 jobs ran simultaneously, with a max of 33

← Older revision		Revision as of 16:43, 6 February 2018
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	Data products from Study 13.4 are available [[Study 13.4 Data Products\| here]].		Data products from Study 13.4 are available [[Study 13.4 Data Products\| here]].
		+
		+	The SQLite database for this study is available at /home/scec-04/tera3d/CyberShake/sqlite_studies/study_13_4/study_13_4.sqlite . It can be accessed using a SQLite client.

	Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG), 25 (CVM-H, AWP), and 26 (CVM-H, RWG).		Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG), 25 (CVM-H, AWP), and 26 (CVM-H, RWG).

@@ Line 7: / Line 7: @@
 Data products from Study 13.4 are available [[Study 13.4 Data Products| here]].
-Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG),  (CVM-H, AWP), and  (CVM-H, RWG).
+Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG), 25 (CVM-H, AWP), and 26 (CVM-H, RWG).
 == Computational Status ==

@@ Line 7: / Line 7: @@
 Data products from Study 13.4 are available [[Study 13.4 Data Products| here]].
-Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG), 22 (CVM-H, AWP), and 23 (CVM-H, RWG).
+Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG),  (CVM-H, AWP), and  (CVM-H, RWG).
 == Computational Status ==

← Older revision		Revision as of 20:27, 2 March 2016
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	Data products from Study 13.4 are available [[Study 13.4 Data Products\| here]].		Data products from Study 13.4 are available [[Study 13.4 Data Products\| here]].
		+
		+	Hazard curves from Study 13.4 use Hazard Dataset IDs 19 (CVM-S, AWP), 20 (CVM-S, RWG), 22 (CVM-H, AWP), and 23 (CVM-H, RWG).

	== Computational Status ==		== Computational Status ==

@@ Line 233: / Line 233: @@
 | || 12281 || ||  628 || ||  243 || ||  185 || ||  151  || || 517 || ||  400  || || 553  || || 323  || || 214 || ||  136  || ||  83 || || 0 ||
 |}
 ==== Workflow-level metrics ====

← Older revision		Revision as of 16:57, 26 March 2014
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	* Delay per job (using a 1-day, no restarts cutoff: 156 workflows) was mean: 401 sec, median: 194, min: 130, max: 5135, sd: 638. Only 2 workflows have an average delay > 1 hour, 6 have average delay > 30 minutes, and 22 > 10 minutes. That means 86% of the workflows had delay per job < 10 minutes.		* Delay per job (using a 1-day, no restarts cutoff: 156 workflows) was mean: 401 sec, median: 194, min: 130, max: 5135, sd: 638. Only 2 workflows have an average delay > 1 hour, 6 have average delay > 30 minutes, and 22 > 10 minutes. That means 86% of the workflows had delay per job < 10 minutes.
		+	* Application parallel node speedup: 472x

	==== Workflow-level metrics ====		==== Workflow-level metrics ====

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 * Delay per job, in bins:
 {| border="1" align="center"
-!Bins
+!Bins (sec)
 | 0 || || 60 || || 120 || ||  180  || || 240  || || 300  || || 600 || ||  900 || || 1800 || || 3600 || || 7200 || || 14400 || || 43200 || || 86400
 |-