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Characterizing Load and Communication Imbalance in Large-Scale Parallel Applications

https://doi.org/10.1109/ipdpsw.2012.321

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-74466-5_17openalex-snapshot

Detecting Application Load Imbalance on High End Massively Parallel Systems

inferredcites →https://doi.org/10.1016/j.parco.2003.08.002openalex-snapshot

A methodology towards automatic performance analysis of parallel applications

inferredcites →https://doi.org/10.1016/j.parco.2009.02.003openalex-snapshot

A scalable tool architecture for diagnosing wait states in massively parallel applications

inferredcites →https://doi.org/10.1109/clustr.2005.347035openalex-snapshot

Extracting Critical Path Graphs from MPI Applications

inferredcites →https://doi.org/10.1109/icpp.2010.18openalex-snapshot

Identifying the Root Causes of Wait States in Large-Scale Parallel Applications

inferredcites →https://doi.org/10.1109/ipdps.2012.120openalex-snapshot

Scalable Critical-Path Based Performance Analysis

inferredcites →https://doi.org/10.1109/sc.2010.47openalex-snapshot

Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles

inferredcites →https://doi.org/10.1145/238020.238024openalex-snapshot

An online computation of critical path profiling

inferredcites →https://doi.org/10.1145/281035.281046openalex-snapshot

Using cause-effect analysis to understand the performance of distributed programs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Analyzing the impact of communication imbalance in high‐speed networks

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Parallel Computing for Multi-core Systems: Current Issues, Challenges and Perspectives

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Dynamic Load Balancing for Coupled Simulation Methods

inferred← citeshttps://doi.org/10.1007/978-3-031-22941-1_37openalex-snapshot

Root Causing MPI Workloads Imbalance Issues via Scalable MPI Critical Path Analysis

inferred← citeshttps://doi.org/10.1007/978-3-031-97632-2_17openalex-snapshot

Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware

inferred← citeshttps://doi.org/10.1007/978-3-319-16012-2_8openalex-snapshot

Integrating Critical-Blame Analysis for Heterogeneous Applications into the Score-P Workflow

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Domain-Specific Framework for Performance Analysis

inferred← citeshttps://doi.org/10.1016/j.compfluid.2020.104437openalex-snapshot

Dynamic load balancing for direct-coupled multiphysics simulations

inferred← citeshttps://doi.org/10.1109/icppw.2014.35openalex-snapshot

CASITA: A Tool for Identifying Critical Optimization Targets in Distributed Heterogeneous Applications

inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.103openalex-snapshot

Scalable Critical Path Analysis for Hybrid MPI-CUDA Applications

inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.64openalex-snapshot

Optimizing One-Sided Communication of Parallel Applications Using Critical Path Methods

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Declarative Adaptive Optimization of Task-Based Applications on Heterogeneous Architectures

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Graph-Centric Performance Analysis for Large-Scale Parallel Applications

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Separating the wheat from the chaff

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TraceFlow: Efficient Trace Analysis for Large-Scale Parallel Applications via Interaction Pattern-Aware Trace Distribution

inferred← citeshttps://doi.org/10.1145/3832810.3832838openalex-snapshot

StreamTrace: Fast Trace Analysis for Large-Scale Parallel Applications on a Single Node

inferred← citeshttps://doi.org/10.1177/1094342016661865openalex-snapshot

Scalable critical-path analysis and optimization guidance for hybrid MPI-CUDA applications

inferred← citeshttps://doi.org/10.3390/a16110505openalex-snapshot

Finding Bottlenecks in Message Passing Interface Programs by Scalable Critical Path Analysis

inferred← citeshttps://doi.org/10.3390/electronics15204592openalex-snapshot

TCFG: A Two-Tier Collaborative Fine-Grained Programming Model Integrating On-Chip Multi-Asynchronous Unit Pipelining and Inter-Node Dynamic Scheduling

inferred← citeshttps://doi.org/10.70675/0b6b898dzf6b8z460ezb4b4zb30a88f63abeopenalex-snapshot

Profiling and debugging by efficient tracing of hybrid multi-threaded HPC applications

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