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GPU Domain Specialization via Composable On-Package Architecture., , , , и . CoRR, (2021)Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator., , , , , , , и . HPCA, стр. 868-880. IEEE, (2021)Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks., , , , , и . HPCA, стр. 78-91. IEEE Computer Society, (2018)Designing Efficient Memory Schedulers for Future Systems.. University of Utah, USA, (2013)Micro-pages: increasing DRAM efficiency with locality-aware data placement., , , , , и . ASPLOS, стр. 219-230. ACM, (2010)Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems., , , , , , и . MICRO, стр. 41-54. ACM, (2017)Why graphics programmers need to know about DRAM., , и . SIGGRAPH Courses, стр. 21:1-21:75. ACM, (2014)Toward standardized near-data processing with unrestricted data placement for GPUs., , , и . SC, стр. 24. ACM, (2017)DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis., , , , и . ISPASS, стр. 293-303. IEEE, (2019)Staged Reads: Mitigating the impact of DRAM writes on DRAM reads., , , , и . HPCA, стр. 41-52. IEEE Computer Society, (2012)