Search Results - "Performance Debugging"

ClearCausal: Cross Layer Causal Analysis for Automatic Microservice Performance Debugging

Authors: Olufogorehan Tunde-Onadele Feiran Qin Xiaohui Gu et al.

Source: 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). :175-180

Transparent Trace Annotation for Performance Debugging in Microservice-oriented Systems (Work In Progress Paper)

Authors: Adel Belkhiri Ahmad Shahnejat Bushehri Felipe Gohring de Magalhaes et al.

Source: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering. :25-32

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis

Authors: Ji, Zhenlan Ma, Pingchuan Wang, Shuai

Source: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). :1454-1466

Subject Terms: FOS: Computer and information sciences, Computer Science - Databases, 0202 electrical engineering, electronic engineering, information engineering, Databases (cs.DB), 02 engineering and technology

Access URL: http://arxiv.org/abs/2207.08369

Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing

Authors: Tianyi Hao Kun Liu Swamit Tannu

Source: Proceedings of the 50th Annual International Symposium on Computer Architecture. :1-13

Subject Terms: FOS: Computer and information sciences, Quantum Physics, Emerging Technologies (cs.ET), Hardware Architecture (cs.AR), Computer Science - Emerging Technologies, FOS: Physical sciences, Computer Science - Hardware Architecture, Quantum Physics (quant-ph)

Access URL: http://arxiv.org/abs/2308.03213

ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices

Authors: Ye Li Jian Tan Bin Wu et al.

Source: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4. :287-323

Performance Debugging through Microarchitectural Sensitivity and Causality Analysis

Authors: Dutilleul, Alban Pompougnac, Hugo Derumigny, Nicolas et al.

Index Terms: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance, text

URL: http://arxiv.org/abs/2412.13207

Performance Debugging and Tuning of Flash-X with Data Analysis Tools

Authors: Kevin Huck Xingfu Wu Anshu Dubey et al.

Source: 2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools (ProTools). :1-10

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage

Authors: Yu Gan Mingyu Liang Sundar Dev et al.

Source: IEEE Micro. 42:27-36

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Enabling Practical Cloud Performance Debugging with Unsupervised Learning

Authors: Yu Gan Mingyu Liang Sundar Dev et al.

Source: ACM SIGOPS Operating Systems Review. 56:34-41

Subject Terms: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Sage: practical and scalable ML-driven performance debugging in microservices

Authors: Yu Gan Mingyu Liang Sundar Dev et al.

Source: Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems. :135-151

Subject Terms: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Design and implementation of high performance debugging system based on JTAG

Authors: Zhang Meijuan Xin Kunpeng Wang Lijuan et al.

Source: Dianzi Jishu Yingyong, Vol 49, Iss 4, Pp 39-43 (2023)

Subject Terms: debugging system, jtag protocol, ieee1149.1, tap control, Electronics, TK7800-8360

File Description: electronic resource

Relation: http://www.chinaaet.com/article/3000160453; https://doaj.org/toc/0258-7998

Access URL: https://doaj.org/article/4abbfb6639844b8da4579e19101fa916

Performance Debugging and Tuning using an Instruction-Set Simulator

Authors: Magnusson, Peter S. Montelius, Johan

Source: SICS Technical Report.

Subject Terms: instruction set simulation, profiling, software engineering, performance debugging, SIMICS

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-21960
https://ri.diva-portal.org/smash/get/diva2:1041502/FULLTEXT01.pdf

PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems

Authors: Jason Teoh Miryung Kim Muhammad Ali Gulzar et al.

Source: Proceedings of the ACM Symposium on Cloud Computing. :465-476

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 02 engineering and technology

Access URL: https://dl.acm.org/doi/pdf/10.1145/3357223.3362727
https://dblp.uni-trier.de/db/conf/cloud/socc2019.html#TeohGXK19

Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices

Authors: Kelvin Hu Yu Gan Yanqi Zhang et al.

Source: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems. :19-33

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 02 engineering and technology, 15. Life on land, 7. Clean energy

Access URL: https://dl.acm.org/doi/pdf/10.1145/3297858.3304004
https://par.nsf.gov/biblio/10165223-seer-leveraging-big-data-navigate-complexity-performance-debugging-cloud-microservices
https://dl.acm.org/doi/pdf/10.1145/3297858.3304004
https://doi.org/10.1145/3297858.3304004
https://dblp.uni-trier.de/db/conf/asplos/asplos2019.html#GanZHCHPD19

Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing

Authors: Liu, Kun Hao, Tianyi Tannu, Swamit

Index Terms: Quantum Physics, Computer Science - Hardware Architecture, Computer Science - Emerging Technologies, text

URL: http://arxiv.org/abs/2308.03213

PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis

Authors: Ji, Zhenlan Ma, Pingchuan Wang, Shuai

Index Terms: Computer Science - Databases, text

URL: http://arxiv.org/abs/2207.08369

Performance debugging in data centers: Doing more with less

Authors: Cecchet, E Natu, M Sadaphal, V et al.

Source: 2009 First International Communication Systems and Networks and Workshops. :1-9

Subject Terms: data centers, operating and distributed systems, fault detection and localization, 0202 electrical engineering, electronic engineering, information engineering, performance debugging, 02 engineering and technology

Access URL: http://lass.cs.umass.edu/~lass/papers/pdf/comsnet09-final.pdf
http://scholarworks.umass.edu/cs_faculty_pubs/1007/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004808877

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices

Authors: Gan, Yu Liang, Mingyu Dev, Sundar et al.

Index Terms: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance, text

URL: http://arxiv.org/abs/2101.00267

Performance debugging of Esterel specifications

Authors: Ju, L. Huynh, B.K. Roychoudhury, A. et al.

Contributors: Ju, L. Huynh, B.K. Roychoudhury, A. et al.

Source: Proceedings of the 6th IEEE/ACM/IFIP international conference on Hardware/Software codesign and system synthesis. :173-178

Subject Terms: Synchronous programming, WCET analysis, 0202 electrical engineering, electronic engineering, information engineering, Performance debugging, 02 engineering and technology, Esterel

Access URL: http://www.comp.nus.edu.sg/~abhik/pdf/codes08-esterel.pdf
https://dl.acm.org/doi/10.1145/1450135.1450175
https://doi.org/10.1145/1450135.1450175
http://www.comp.nus.edu.sg/~abhik/pdf/codes08-esterel.pdf
https://mediatum.ub.tum.de/823043
http://www.comp.nus.edu.sg/~abhik/pdf/rtsj-esterel.pdf
http://core.ac.uk/display/21123953
https://link.springer.com/article/10.1007%2Fs11241-012-9155-z
https://link.springer.com/content/pdf/10.1007%2Fs11241-012-9155-z.pdf
https://core.ac.uk/display/48662115

HLScope: High-Level Performance Debugging for FPGA Designs

Authors: Young-kyu Choi Jason Cong

Source: 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). :125-128

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/document/7966664/
http://doi.ieeecomputersociety.org/10.1109/FCCM.2017.44
https://ieeexplore.ieee.org/document/7966664/
https://dblp.uni-trier.de/db/conf/fccm/fccm2017.html#ChoiC17
https://doi.org/10.1109/FCCM.2017.44