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1.
Trident: Automated system tool for collecting and analyzing hardware performance counters / Muralidharan, Servesh (CERN) ; Smith, David (CERN)
Trident, a tool to use low level metrics derived from hardware counters to understand Core, Memory and I/O utilisation and bottlenecks. The collection of time series of these low level counters does not induce significant overhead to the execution of the application. [...]
IT-TALK-2018-005.- Geneva : CERN, 2018 Fulltext: PPTX; In : HEPiX Spring 2018
2.
Trident : An Automated System Tool for Collecting and Analyzing Performance Counters
Reference: Poster-2018-667
Created: 2018. -1 p
Creator(s): Muralidharan, Servesh; Smith, David

Trident, a qualitative analysis tool that can look at various low level metrics with respect to the Core, Memory and I/O to highlight performance bottlenecks during the execution of an application. Trident uses a three pronged approach in analysing a node's utilisation of hardware resources and to help a non system expert understand the stress on different parts of the system by a given job. Currently metrics such as memory bandwidth, core utilization, active processor cycles, etc., are being collected. Interpretation of the data in raw form is often non intuitive. Therefore, the tool converts these data into derived metrics that are then represented as a system wide extended Top-Down analysis that helps developers and site managers likewise understand the application behavior without the need for in-depth expertise of architecture details.

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3.
Trident : An automated system tool for collecting and analyzing performance counters / Muralidharan, Servesh (CERN) ; Smith, David (CERN)
Trident, a qualitative analysis tool that can look at various low level metrics with respect to the Core, Memory and I/O to highlight performance bottlenecks during the execution of an application. Trident uses a three pronged approach in analyzing a node's utilization of hardware resources and to help a non system expert understand the stress on different parts of the system by a given job. [...]
CERN-IT-2019-002.- Geneva : CERN, 2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 08024 Fulltext from publisher: PDF; Preprint: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.08024
4.
Behind the scenes perspective: Into the abyss of profiling for performance / Muralidharan, Servesh (CERN) ; Smith, David (CERN)
This lecture is an introduction to profiling a system or individual programs. We will concentrate on profiling to understand aspects of program performance [...]
IT-TALK-2018-004.- Geneva : CERN, 2018 Fulltext: Profiling for performance in pdf - PDF; Profiling for performance - PPTX; In : GridKa 2018
5.
Computing challenges in HEP for WLHC grid / Muralidharan, Servesh (CERN)
As CERN moves towards preparation for increasing the luminosity of the particle beam towards HL-LHC, predictions shows computing demand would out grow our conservative scaling estimates by over ten times. Fortunately we are talking about a time scale of roughly ten years to develop new techniques and novel solutions to address this gap in compute resources. [...]
IT-TALK-2017-008.- Geneva : CERN, 2017 Fulltext: PPTX; In : HiPC
6.
POSEIDON: The secrets of the Trident Node monitoring tool / Kuffo Rivero, Leonardo Xavier (speaker)
2018 - 0:05:31. CERN openlab Summer Student programme 2018; CERN openlab summer students' lightning talks 2 External links: Talk details; Event details In : CERN openlab summer students' lightning talks 2
7.
HEPiX
Published in: Courrier CERN Volume 36, N° 5, Juillet-Août 1996
Genève : CERN, 1996
8.
Establishing Applicability of SSDs to LHC Tier-2 Hardware Configuration / Skipsey, Samuel C (Glasgow U.) ; Bhimji, Wahid (Edinburgh U.) ; Kenyon, Mike (CERN)
Solid State Disk technologies are increasingly replacing high-speed hard disks as the storage technology in high-random-I/O environments. There are several potentially I/O bound services within the typical LHC Tier-2 - in the back-end, with the trend towards many-core architectures continuing, worker nodes running many single-threaded jobs and storage nodes delivering many simultaneous files can both exhibit I/O limited efficiency [...]
arXiv:1102.3114; GLAS-PPE-2010-??.- 2011 - 6 p. - Published in : J. Phys.: Conf. Ser. 331 (2011) 052019
External link: Preprint
In : Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18 - 22 Oct 2010, pp.052019
9.
Calendar / CNL Editors CERN-CNL-ARTICLE-2005-030 ; 14 Nov 2005 ; Full text published in : CERN Comput. Newsl. no. 2005-005 , in section 'Information corner'
10.
HEPiX Spring 2008 trip report / Silverman, Alan (CERN)
Trip report for the HEPiX Spring 2008 meeting held at CERN
CERN-IT-Note-2008-003.
- 2008. - 19 p.
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