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GPOP: A Scalable Cache- and Memory-efficient Framework for Graph Processing over Parts., , , and . ACM Trans. Parallel Comput., 7 (1): 7:1-7:24 (2020)Subgroup-based Source Recovery or Local Recovery for Reliable Multicasting., , , and . Int. J. Comput. Their Appl., 12 (2): 101-112 (2005)OSCAR: Optimizing SCrAtchpad reuse for graph processing., , , and . HPEC, page 1-7. IEEE, (2017)The Impact of Exponential Utility Costs in Bottleneck Routing Games, and . CoRR, (2009)GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions., , , and . CoRR, (2018)SXmin: a self-routing high-performance ATM packet switch based on group-knockout principle., , , and . IEEE Trans. Commun., 45 (6): 710-722 (1997)Faster Web Page Allocation with Neural Networks., , and . IEEE Internet Comput., 6 (6): 18-26 (2002)Stretch in Bottleneck Games., and . COCOON, volume 7434 of Lecture Notes in Computer Science, page 592-603. Springer, (2012)Parallel edge-based sampling for static and dynamic graphs., , , , and . CF, page 125-134. ACM, (2019)Predicting memory accesses: the road to compact ML-driven prefetcher., , , , and . MEMSYS, page 461-470. ACM, (2019)