Performance Modeling, Analysis, and Visualization


IEEE TVCG '18: Giménez et al. MemAxes: Visualization and analytics for characterizing complex memory performance behaviors.
CGF '18: Bhatia et al. Interactive investigation of traffic congestion on fat-tree networks using TreeScope.
IEEE TPDS '18: Isaacs et al. Ordering traces logically to identify lateness in message-passing programs.
SC '17: Giménez et al. ScrubJay: Deriving knowledge from the disarray of hpc performance data.
VPA '16: Nguyen et al. VIPACT: A visualization interface for analyzing calling context trees.
SC '16: Leon et al. Characterizing parallel scientific applications on commodity clusters: An empirical study of a tapered fat-tree.
HPPAC '16: Marathe et al. libPowerMon: A lightweight profiling framework to profile program context and system-level metrics.
SC '15: Isaacs et al. Recovering logical structure from Charm++ event traces.
IEEE TVCG '14: Isaacs et al. Combing the communication hairball: Visualizing parallel execution traces using logical time.
SC '14: Giménez et al. Dissecting On-Node Memory Access Performance: A Semantic Approach.
EuroVis '14: Isaacs et al. State of the Art of Performance Visualization.
SC '13: Bhatele et al. There goes the neighborhood: performance degradation due to nearby jobs.
IEEE TVCG '12: Landge et al. Visualizing network traffic to understand the performance of massively parallel simulations.
SC '12: Bhatele et al. Novel views of performance data to analyze large-scale adaptive applications.
IPDPS '11: Bhatele et al. Architectural constraints to attain 1 Exaflop/s for three scientific application classes.
IJHPCA '10: Bhatele et al. Understanding application performance via micro-benchmarks on three large supercomputers: Intrepid, Ranger and Jaguar.
SMTPS '07: Bhatele et al. A selective profiling tool: Towards automatic performance tuning.
Abhinav Sudarshan Bhatele © 2001-2020. All rights reserved.