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.