Traveler: Navigating Task Parallel Traces for Performance Analysis Article Swipe
Sayef Azad Sakin
,
Alex Bigelow
,
R. Tohid
,
Connor Scully-Allison
,
Carlos Scheidegger
,
Steven R. Brandt
,
C. C. W. Taylor
,
Kevin Huck
,
Hartmut Kaiser
,
Katherine E. Isaacs
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2208.00109
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2208.00109
Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts where even minor performance tweaks can translate into large savings in terms of computational resource use. To aid performance analysis, developers may collect an execution trace - a chronological log of program activity during execution. As traces represent the full history, developers can discover a wide array of possibly previously unknown performance issues, making them an important artifact for exploratory performance analysis. However, interactive trace visualization is difficult due to issues of data size and complexity of meaning. Traces represent nanosecond-level events across many parallel processes, meaning the collected data is often large and difficult to explore. The rise of asynchronous task parallel programming paradigms complicates the relation between events and their probable cause. To address these challenges, we conduct a continuing design study in collaboration with high performance computing researchers. We develop diverse and hierarchical ways to navigate and represent execution trace data in support of their trace analysis tasks. Through an iterative design process, we developed Traveler, an integrated visualization platform for task parallel traces. Traveler provides multiple linked interfaces to help navigate trace data from multiple contexts. We evaluate the utility of Traveler through feedback from users and a case study, finding that integrating multiple modes of navigation in our design supported performance analysis tasks and led to the discovery of previously unknown behavior in a distributed array library.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2208.00109
- https://arxiv.org/pdf/2208.00109
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289645113
All OpenAlex metadata
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- DOI
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https://doi.org/10.48550/arxiv.2208.00109Digital Object Identifier
- Title
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Traveler: Navigating Task Parallel Traces for Performance AnalysisWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-07-30Full publication date if available
- Authors
-
Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger, Steven R. Brandt, C. C. W. Taylor, Kevin Huck, Hartmut Kaiser, Katherine E. IsaacsList of authors in order
- Landing page
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https://arxiv.org/abs/2208.00109Publisher landing page
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https://arxiv.org/pdf/2208.00109Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2208.00109Direct OA link when available
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Computer science, TRACE (psycholinguistics), Visualization, Task (project management), Asynchronous communication, Artifact (error), Human–computer interaction, Resource (disambiguation), Data science, Data mining, Artificial intelligence, Computer network, Economics, Linguistics, Philosophy, ManagementTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.Traces | 104 |
| abstract_inverted_index.across | 108 |
| abstract_inverted_index.cause. | 139 |
| abstract_inverted_index.design | 148, 180, 229 |
| abstract_inverted_index.during | 59 |
| abstract_inverted_index.events | 107, 135 |
| abstract_inverted_index.fixing | 14 |
| abstract_inverted_index.issues | 96 |
| abstract_inverted_index.linked | 196 |
| abstract_inverted_index.making | 79 |
| abstract_inverted_index.study, | 219 |
| abstract_inverted_index.tasks. | 176 |
| abstract_inverted_index.traces | 62 |
| abstract_inverted_index.tweaks | 30 |
| abstract_inverted_index.Through | 177 |
| abstract_inverted_index.address | 141 |
| abstract_inverted_index.between | 134 |
| abstract_inverted_index.collect | 48 |
| abstract_inverted_index.conduct | 145 |
| abstract_inverted_index.develop | 158 |
| abstract_inverted_index.diverse | 159 |
| abstract_inverted_index.finding | 220 |
| abstract_inverted_index.issues, | 78 |
| abstract_inverted_index.issues. | 16 |
| abstract_inverted_index.meaning | 112 |
| abstract_inverted_index.program | 57 |
| abstract_inverted_index.savings | 35 |
| abstract_inverted_index.support | 171 |
| abstract_inverted_index.through | 212 |
| abstract_inverted_index.traces. | 192 |
| abstract_inverted_index.unknown | 76, 241 |
| abstract_inverted_index.utility | 209 |
| abstract_inverted_index.However, | 88 |
| abstract_inverted_index.Traveler | 193, 211 |
| abstract_inverted_index.activity | 58 |
| abstract_inverted_index.analysis | 175, 232 |
| abstract_inverted_index.artifact | 83 |
| abstract_inverted_index.behavior | 2, 242 |
| abstract_inverted_index.contexts | 25 |
| abstract_inverted_index.discover | 69 |
| abstract_inverted_index.evaluate | 207 |
| abstract_inverted_index.explore. | 122 |
| abstract_inverted_index.feedback | 213 |
| abstract_inverted_index.history, | 66 |
| abstract_inverted_index.library. | 247 |
| abstract_inverted_index.meaning. | 103 |
| abstract_inverted_index.multiple | 195, 204, 223 |
| abstract_inverted_index.navigate | 164, 200 |
| abstract_inverted_index.parallel | 110, 128, 191 |
| abstract_inverted_index.platform | 188 |
| abstract_inverted_index.possibly | 74 |
| abstract_inverted_index.probable | 138 |
| abstract_inverted_index.process, | 181 |
| abstract_inverted_index.provides | 194 |
| abstract_inverted_index.relation | 133 |
| abstract_inverted_index.resource | 40 |
| abstract_inverted_index.software | 4 |
| abstract_inverted_index.Traveler, | 184 |
| abstract_inverted_index.analysis, | 45 |
| abstract_inverted_index.analysis. | 87 |
| abstract_inverted_index.collected | 114 |
| abstract_inverted_index.computing | 24, 155 |
| abstract_inverted_index.contexts. | 205 |
| abstract_inverted_index.developed | 183 |
| abstract_inverted_index.difficult | 93, 120 |
| abstract_inverted_index.discovery | 238 |
| abstract_inverted_index.execution | 6, 50, 167 |
| abstract_inverted_index.important | 20, 82 |
| abstract_inverted_index.iterative | 179 |
| abstract_inverted_index.paradigms | 130 |
| abstract_inverted_index.represent | 63, 105, 166 |
| abstract_inverted_index.supported | 230 |
| abstract_inverted_index.translate | 32 |
| abstract_inverted_index.complexity | 101 |
| abstract_inverted_index.continuing | 147 |
| abstract_inverted_index.developers | 46, 67 |
| abstract_inverted_index.especially | 19 |
| abstract_inverted_index.execution. | 60 |
| abstract_inverted_index.integrated | 186 |
| abstract_inverted_index.interfaces | 197 |
| abstract_inverted_index.navigation | 226 |
| abstract_inverted_index.previously | 75, 240 |
| abstract_inverted_index.processes, | 111 |
| abstract_inverted_index.challenges, | 143 |
| abstract_inverted_index.complicates | 131 |
| abstract_inverted_index.distributed | 245 |
| abstract_inverted_index.exploratory | 85 |
| abstract_inverted_index.identifying | 12 |
| abstract_inverted_index.integrating | 222 |
| abstract_inverted_index.interactive | 89 |
| abstract_inverted_index.performance | 15, 23, 29, 44, 77, 86, 154, 231 |
| abstract_inverted_index.programming | 129 |
| abstract_inverted_index.asynchronous | 126 |
| abstract_inverted_index.hierarchical | 161 |
| abstract_inverted_index.researchers. | 156 |
| abstract_inverted_index.Understanding | 0 |
| abstract_inverted_index.chronological | 54 |
| abstract_inverted_index.collaboration | 151 |
| abstract_inverted_index.computational | 39 |
| abstract_inverted_index.visualization | 91, 187 |
| abstract_inverted_index.nanosecond-level | 106 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile |