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DeNovoND: efficient hardware support for disciplined non-determinism., , and . ASPLOS, page 13-26. ACM, (2013)Parallel SAH k-D tree construction., , , , , , and . High Performance Graphics, page 77-86. Eurographics Association, (2010)Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product., , , , , , , , , and 7 other author(s). ISCA, page 1042-1057. ACM, (2022)Exploiting software information for an efficient memory hierarchy. University of Illinois Urbana-Champaign, USA, (2014)HPVM: heterogeneous parallel virtual machine., , , , , and . PPoPP, page 68-80. ACM, (2018)Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , and 43 other author(s). ISCA, page 993-1011. ACM, (2022)Eliminating on-chip traffic waste: are we there yet?, , , and . ISPASS, page 163-164. IEEE Computer Society, (2015)Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training., , , , , , , , , and 7 other author(s). CoRR, (2021)MTIA: First Generation Silicon Targeting Meta's Recommendation Systems., , , , , , , , , and 46 other author(s). ISCA, page 80:1-80:13. ACM, (2023)Stash: have your scratchpad and cache it too., , , , , , , and . ISCA, page 707-719. ACM, (2015)