Search Results - "Performance Debugging"

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  1. 1

    Making Sense of Multi-threaded Application Performance at Scale with NonSequitur by Wong, Augustine, Bucci, Paul, Beschastnikh, Ivan, Fedorova, Alexandra

    ISSN: 2475-1421, 2475-1421
    Published: New York, NY, USA ACM 08.10.2024
    “…Modern multi-threaded systems are highly complex. This makes their behavior difficult to understand. Developers frequently capture behavior in the form of…”
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    Journal Article
  2. 2

    DProf: distributed profiler with strong guarantees by Benavides, Zachary, Vora, Keval, Gupta, Rajiv

    ISSN: 2475-1421, 2475-1421
    Published: 01.10.2019
    “…Performance analysis of a distributed system is typically achieved by collecting profiles whose underlying events are timestamped with unsynchronized clocks of…”
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    Journal Article
  3. 3

    PALMED: Throughput Characterization for Superscalar Architectures by Derumigny, Nicolas, Bastian, Theophile, Gruber, Fabian, Iooss, Guillaume, Guillon, Christophe, Pouchet, Louis-Noel, Rastello, Fabrice

    Published: IEEE 02.04.2022
    “…In a super-scalar architecture, the scheduler dynamically assigns micro-operations ( \mu OPs) to execution ports. The port mapping of an architecture describes…”
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    Conference Proceeding
  4. 4

    Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis by Ji, Zhenlan, Ma, Pingchuan, Wang, Shuai

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “…Debugging performance anomalies in databases is challenging. Causal inference techniques enable qualitative and quantitative root cause analysis of performance…”
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    Conference Proceeding
  5. 5

    Systematic detection of memory related performance bottlenecks in GPGPU programs by Horga, Adrian, Chattopadhyay, Sudipta, Eles, Petru, Peng, Zebo

    ISSN: 1383-7621, 1873-6165, 1873-6165
    Published: Elsevier B.V 01.11.2016
    Published in Journal of systems architecture (01.11.2016)
    “…Graphics processing units (GPUs) pose an attractive choice for designing high-performance and energy-efficient software systems. This is because GPUs are…”
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    Journal Article
  6. 6

    Precise, Scalable, and Online Request Tracing for Multitier Services of Black Boxes by Sang, Bo, Zhan, Jianfeng, Lu, Gang, Wang, Haining, Xu, Dongyan, Wang, Lei, Zhang, Zhihong, Jia, Zhen

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.06.2012
    “…As more and more multitier services are developed from commercial off-the-shelf components or heterogeneous middleware without source code available, both…”
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    Journal Article
  7. 7

    The Millibottleneck Theory of Performance Bugs, and Its Experimental Verification by Pu, Calton, Kimball, Joshua, Chien-An Lai, Tao Zhu, Li, Jack, Junhee Park, Qingyang Wang, Jayasinghe, Deepal, Pengcheng Xiong, Malkowski, Simon, Qinyi Wu, Gueyoung Jung, Younggyun Koh, Swint, Galen

    ISSN: 1063-6927
    Published: IEEE 01.06.2017
    “…The performance of n-tier web-facing applications often suffer from response time long-tail problem. With relatively low resource utilization (less than 50%)…”
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    Conference Proceeding
  8. 8

    Adaptive Monitoring: Application of Probing to Adapt Passive Monitoring by Jeswani, Deepak, Natu, Maitreya, Ghosh, R. K.

    ISSN: 1064-7570, 1573-7705
    Published: New York Springer US 01.10.2015
    Published in Journal of network and systems management (01.10.2015)
    “…Availability of good quality monitoring data is a vital need for management of today’s data centers. However, effective use of monitoring tools demands an…”
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    Journal Article
  9. 9

    Performance debugging of Esterel specifications by Ju, Lei, Huynh, Bach Khoa, Roychoudhury, Abhik, Chakraborty, Samarjit

    ISSN: 0922-6443, 1573-1383
    Published: Boston Springer US 01.09.2012
    Published in Real-time systems (01.09.2012)
    “…Synchronous languages like Esterel have been widely adopted for designing reactive systems in safety-critical domains such as avionics. Specifications written…”
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    Journal Article
  10. 10

    Automatic performance debugging of SPMD-style parallel programs by Liu, Xu, Zhan, Jianfeng, Zhan, Kunlin, Shi, Weisong, Yuan, Lin, Meng, Dan, Wang, Lei

    ISSN: 0743-7315, 1096-0848
    Published: Amsterdam Elsevier Inc 01.07.2011
    “…Automatic performance debugging of parallel applications includes two main steps: locating performance bottlenecks and uncovering their root causes for…”
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    Journal Article
  11. 11

    Distributed Tracing for InterPlanetary File System by Gupta, Sushant Kumar, Miller, Marshall David, Han, Rachel, Guo, Haorui

    Published: IEEE 21.09.2024
    “…The InterPlanetary File System (IPFS) is on its way to becoming the backbone of the next generation of the web. However, it suffers from several performance…”
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    Conference Proceeding
  12. 12

    Software system performance debugging with kernel events feature guidance by Junghwan Rhee, Hui Zhang, Arora, Nipun, Guofei Jiang, Yoshihira, Kenji

    ISSN: 1542-1201
    Published: IEEE 01.05.2014
    “…To diagnose performance problems in production systems, many OS kernel-level monitoring and analysis tools have been proposed. Using low level kernel events…”
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    Conference Proceeding
  13. 13

    ClearCausal: Cross Layer Causal Analysis for Automatic Microservice Performance Debugging by Tunde-Onadele, Olufogorehan, Qin, Feiran, Gu, Xiaohui, Lin, Yuhang

    Published: IEEE 16.09.2024
    “…It is notoriously hard to debug performance problems in dynamic distributed systems such as containerized microservices. Developers need to spend large amounts…”
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    Conference Proceeding
  14. 14

    PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events by Khan, Mohammed Adib, Noferesti, Morteza, Ezzati-Jivan, Naser

    ISSN: 2470-6892
    Published: IEEE 02.10.2023
    “…Dynamic performance analysis plays a crucial role in optimizing systems and identifying performance bottlenecks. Traditional software debugging methods…”
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    Conference Proceeding
  15. 15

    Operating System Level Trace Analysis for Automated Problem Identification by Matni, Gabriel N.

    ISSN: 1874-110X, 1874-110X
    Published: 2011
    “…Performance bottlenecks, malicious activities, programming bugs and other kinds of problematic behavior could be accurately detected on production systems if…”
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    Journal Article
  16. 16

    LIME: a framework for debugging load imbalance in multi-threaded execution by Oh, Jungju, Hughes, Christopher J., Venkataramani, Guru, Prvulovic, Milos

    ISBN: 9781450304450, 1450304451
    ISSN: 0270-5257
    Published: New York, NY, USA ACM 21.05.2011
    “…With the ubiquity of multi-core processors, software must make effective use of multiple cores to obtain good performance on modern hardware. One of the…”
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    Conference Proceeding
  17. 17

    HLScope: High-Level Performance Debugging for FPGA Designs by Young-Kyu Choi, Cong, Jason

    Published: IEEE 01.04.2017
    “…In their quest for further optimization, field-programmable gate array (FPGA) designers often spend considerable time trying to identify the performance…”
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    Conference Proceeding
  18. 18

    Flexible performance visualization of parallel and distributed applications by Chassin de Kergommeaux, J., de Oliveira Stein, B.

    ISSN: 0167-739X, 1872-7115
    Published: Elsevier B.V 01.07.2003
    Published in Future generation computer systems (01.07.2003)
    “…Performance debugging of parallel and distributed applications can benefit from behavioral visualization tools helping to capture the dynamics of the…”
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    Journal Article
  19. 19

    TOBTD: Throughput debugging in total-order broadcast systems by Nehme, Mohamad-Jaafar, Zein-Eddine, Abbass

    Published: IEEE 01.04.2018
    “…Systems running Total-Order Broadcast protocols are prone to throughput downgrades due to both system-level failures (anomalies and crashes) and network level…”
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    Conference Proceeding
  20. 20

    Performance debugging in data centers: Doing more with less by Cecchet, E., Natu, M., Sadaphal, V., Shenoy, P., Vin, H.

    ISBN: 1424429129, 9781424429127
    ISSN: 2155-2487
    Published: IEEE 01.01.2009
    “…With the increasing scale and complexity of data centers, detecting and localizing performance faults in real-time has become both a pressing need and a…”
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    Conference Proceeding