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--- readings [2021/04/29 15:55] – [Session 4 (22.04 Thu.)] haimao
+++ readings [2021/06/03 17:10] (current) – [Session 6 (06.05 Thu.)] hluo
@@ Line 135: / Line 135: @@
   * {{ isca99.pdf | Roth Amir, and Gurindar S. Sohi, "Effective jump-pointer prefetching for linked data structures", in ISCA, 1999}}
+===== Session 5 (29.04 Thu.) =====
+=== Mentioned (Session 5.1) ===
+  * {{ exynos.pdf | Brian Grayson, Jeff Rupley, Gerald Zuraski Jr., Eric Quinnell, Daniel A. Jimenez, Tarun Nakra,
+Paul Kitchin, Ryan Hensley, Edward Brekelbaum, Vikas Sinha, and Ankit Ghiya, "Evolution of the Samsung Exynos CPU Microarchitecture", in ISCA, 2020}}
+  * {{ history.pdf | Andre Seznec, "Analysis of the O-GEometric History Length branch predictor", in ISCA, 2005}}
+=== Mentioned (Session 5.2) ===
+  * {{ morse.pdf | Janani Mukundan, and Jose F. Martinez, "MORSE: Multi-objective Reconfigurable
+Self-optimizing Memory Scheduler", in HPCA, 2012}}
+  * {{ http://incompleteideas.net/book/RLbook2020.pdf | Richard S. Sutton
+and Andrew G. Barto, "Reinforcement Learning: An Introduction", MIT Press, 2018}}
+===== Session 6 (06.05 Thu.) =====
+=== Mentioned (Session 6.1) ===
+  * {{ approximationwithdnns.pdf | Csáji et al., Approximation with Artificial Neural Networks, PSU 2001}}
+  * {{ imagenet-classification-with-deep-convolutional-nn.pdf | Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems 25 (2012): 1097-1105}}
+  * {{verydnn.pdf | Simonyan, Karen, and Andrew Zisserman. "Very deep convolutional networks for large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014) }}
+  * {{surveydnncompression.pdf | Cheng, Yu, et al. "A survey of model compression and acceleration for deep neural networks." arXiv preprint arXiv:1710.09282 (2017)}}
+  * {{predictingdnn.pdf | Denil, Misha, et al. "Predicting parameters in deep learning." arXiv preprint arXiv:1306.0543 (2013)}}
+  * {{ xu-mannor2012_article_robustnessandgeneralization.pdf | Xu, Huan, and Shie Mannor. "Robustness and generalization." Machine learning 86.3 (2012): 391-423}}
+  * {{robustness_and_or_redundancy_emerge_in_overparametrized_deep_neural_networks.pdf | Casper, Stephen, et al. "Robustness and/or Redundancy Emerge in Overparametrized Deep Neural Networks." (2019)}}
+  * {{sparsednn.pdf | Guo, Yiwen, et al. "Sparse dnns with improved adversarial robustness." arXiv preprint arXiv:1810.09619 (2018)}}
+=== Mentioned (Session 6.2) ===
+  * {{ alser-seminar-in-comparch-2021-lecture4-gatekeeper-afterlecture.pdf | Alser, Mohammed, et al. "GateKeeper: a new hardware architecture for accelerating pre-alignment in DNA short read mapping." Bioinformatics 33.21 (2017): 3355-3363}}
+  * {{ s41598-019-41228-8.pdf | Takahashi, Christopher N., et al. "Demonstration of end-to-end automation of DNA data storage." Scientific reports 9.1 (2019): 1-5}}
+  * {{1412.0348.pdf | Backurs, Arturs, and Piotr Indyk. "Edit distance cannot be computed in strongly subquadratic time (unless SETH is false)." Proceedings of the forty-seventh annual ACM symposium on Theory of computing. 2015 }}
+  * {{ genasm.pdf | Cali, Damla Senol, et al. "GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis." 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO). IEEE, 2020 }}
+=== Mentioned (Session 9) ===
+  * {{ tldram_hpca13.pdf | D. Lee et al., “Tiered-Latency DRAM: A Low Latency and Low Cost DRAM Architecture”, in  HPCA 2013 }}
+  * {{ charm_isca13.pdf | Y. H. Son et al., “Reducing Memory Access Latency with Asymmetric DRAM Bank Organizations,” in ISCA 2013 }}
+  * {{ das_micro15.pdf | S. L. Lu et al., “Improving DRAM Latency with Dynamic Asymmetric Subarray,” in MICRO 2015 }}
+  * {{ lisa-dram_hpca16.pdf | K. K. Chang et al., “Low-Cost Inter-Linked Subarrays (LISA): Enabling Fast Inter-Subarray Data Movement in DRAM, “ in HPCA 2016 }}