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Architecture-independent modeling of intra-node data movement., , , and . LLVM@SC, page 29-39. IEEE Computer Society, (2014)Accommodating Thread-Level Heterogeneity in Coupled Parallel Applications., , , , , , , , , and 1 other author(s). IPDPS, page 469-478. IEEE Computer Society, (2017)Automatic NUMA characterization using Cbench., , and . ICPE, page 295-298. ACM, (2012)Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization., , , , , , , , , and 5 other author(s). OSDI, page 267-284. USENIX Association, (2022)Index launches: scalable, flexible representation of parallel task groups., , , , , , , and . SC, page 66. ACM, (2021)Hardware-independent application characterization., and . IISWC, page 111-112. IEEE Computer Society, (2013)Control replication: compiling implicit parallelism to efficient SPMD with logical regions., , , , , , , and . SC, page 14. ACM, (2017)Large-Scale Data Visualization and Rendering: A Problem-Driven Approach., and . The Visualization Handbook, Academic Press / Elsevier, (2005)Scout: A Hardware-Accelerated System for Quantitatively Driven Visualization and Analysis., , , , and . IEEE Visualization, page 171-178. IEEE Computer Society, (2004)Wildfire visualization (case study)., , , , and . IEEE Visualization, page 451-454. IEEE Computer Society and ACM, (1997)