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46th ISCA 2019: Phoenix, AZ, USA
- Srilatha Bobbie Manne, Hillery C. Hunter, Erik R. Altman:
Proceedings of the 46th International Symposium on Computer Architecture, ISCA 2019, Phoenix, AZ, USA, June 22-26, 2019. ACM 2019, ISBN 978-1-4503-6669-4 - Eshan Bhatia, Gino Chacon, Seth H. Pugsley, Elvira Teran, Paul V. Gratz
, Daniel A. Jiménez
Perceptron-based prefetch filtering. 1-13 - Stephen J. Tarsa, Rangeen Basu Roy Chowdhury, Julien Sebot, Gautham N. Chinya, Jayesh Gaur, Karthik Sankaranarayanan, Chit-Kwan Lin, Robert Chappell, Ronak Singhal, Hong Wang:
Post-silicon CPU adaptation made practical using machine learning. 14-26 - Elba Garza, Samira Mirbagher Ajorpaz
Bit-level perceptron prediction for indirect branches. 27-38 - Yi Ding
Generative and multi-phase learning for computer systems optimization. 39-52 - Chenhao Xie, Xin Fu
OO-VR: NUMA friendly object-oriented VR rendering framework for future NUMA-based multi-GPU systems. 53-65 - Yu Feng
PES: proactive event scheduling for responsive and energy-efficient mobile web computing. 66-78 - (Withdrawn) 3D-based video recognition acceleration by leveraging temporal locality. 79-90
- Yue Leng, Chi-Chun Chen, Qiuyue Sun, Jian Huang, Yuhao Zhu:
Energy-efficient video processing for virtual reality. 91-103 - Amro Awad, Mao Ye
Triad-NVM: persistency for integrity-protected and encrypted non-volatile memories. 104-115 - Kiran Kumar Matam, Gunjae Koo
GraphSSD: graph semantics aware SSD. 116-128 - Hasan Hassan, Minesh Patel, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Nika Mansouri-Ghiasi, Saugata Ghose, Onur Mutlu:
CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability. 129-142 - Sihang Liu
Janus: optimizing memory and storage support for non-volatile memory systems. 143-156 - Kazi Abu Zubair, Amro Awad:
Anubis: ultra-low overhead and recovery time for secure non-volatile memories. 157-168 - Ayub A. Gubran, Tor M. Aamodt:
Emerald: graphics modeling for SoC systems. 169-182 - Yunho Oh
Linebacker: preserving victim cache lines in idle register files of GPUs. 183-196 - Yifan Sun
MGPUSim: enabling multi-GPU performance modeling and optimization. 197-209 - Ashutosh Pattnaik, Xulong Tang
Opportunistic computing in GPU architectures. 210-223 - Debashis Ganguly, Ziyu Zhang, Jun Yang, Rami G. Melhem:
Interplay between hardware prefetcher and page eviction policy in CPU-GPU unified virtual memory. 224-235 - Tzu-Hsien Yang, Hsiang-Yun Cheng
Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks. 236-249 - Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim:
MnnFast: a fast and scalable system architecture for memory-augmented neural networks. 250-263 - Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan:
TIE: energy-efficient tensor train-based inference engine for deep neural network. 264-278 - Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang:
Accelerating distributed reinforcement learning with in-switch computing. 279-291 - Jiaqi Zhang, Xiangru Chen, Mingcong Song, Tao Li:
Eager pruning: algorithm and architecture support for fast training of deep neural networks. 292-303 - Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos:
Laconic deep learning inference acceleration. 304-317 - Dimitrios Skarlatos, Mengjia Yan, Bhargava Gopireddy, Read Sprabery, Josep Torrellas, Christopher W. Fletcher:
MicroScope: enabling microarchitectural replay attacks. 318-331 - Mengjia Yan
SecDir: a secure directory to defeat directory side-channel attacks. 332-345 - Shuwen Deng, Wenjie Xiong
Secure TLBs. 346-359 - Moinuddin K. Qureshi:
New attacks and defense for encrypted-address cache. 360-371 - Shaizeen Aga, Satish Narayanasamy
InvisiPage: oblivious demand paging for secure enclaves. 372-384 - Eojin Lee, Ingab Kang, Sukhan Lee, G. Edward Suh
TWiCe: preventing row-hammering by exploiting time window counters. 385-396 - Daichi Fujiki
Duality cache for data parallel acceleration. 397-410 - Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout:
Adaptive memory-side last-level GPU caching. 411-423 - Albert Segura, José-María Arnau, Antonio González:
SCU: a GPU stream compaction unit for graph processing. 424-435 - Ricardo Alves, Alberto Ros
Filter caching for free: the untapped potential of the store-buffer. 436-448 - Hao Wu, Krishnendra Nathella, Dam Sunwoo, Akanksha Jain, Calvin Lin:
Efficient metadata management for irregular data prefetching. 449-461 - Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan:
AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. 462-473 - Weixiang Jiang, Ziyang Jia, Sirui Feng, Fangming Liu, Hai Jin:
Fine-grained warm water cooling for improving datacenter economy. 474-486 - Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar
DeepAttest: an end-to-end attestation framework for deep neural networks. 487-498 - Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian:
TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. 499-512 - Akshitha Sriraman, Abhishek Dhanotia, Thomas F. Wenisch:
SoftSKU: optimizing server architectures for microservice diversity @scale. 513-526 - Prakash Murali, Norbert Matthias Linke, Margaret Martonosi, Ali Javadi-Abhari, Nhung Hong Nguyen
Full-stack, real-system quantum computer studies: architectural comparisons and design insights. 527-540 - Yipeng Huang
Statistical assertions for validating patterns and finding bugs in quantum programs. 541-553 - Pranav Gokhale, Jonathan M. Baker, Casey Duckering, Natalie C. Brown, Kenneth R. Brown
Asymptotic improvements to quantum circuits via qutrits. 554-566 - Ruizhe Cai, Ao Ren, Olivia Chen
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. 567-578 - Kaitlin N. Smith, Mitchell A. Thornton:
A quantum computational compiler and design tool for technology-specific targets. 579-588 - Ke Wang, Ahmed Louri, Avinash Karanth
IntelliNoC: a holistic design framework for energy-efficient and reliable on-chip communication for manycores. 589-600 - Yifan Yuan, Yipeng Wang, Ren Wang, Jian Huang:
HALO: accelerating flow classification for scalable packet processing in NFV. 601-614 - Yaqi Zhang, Alexander Rucker, Matthew Vilim, Raghu Prabhakar, William Hwang, Kunle Olukotun
Scalable interconnects for reconfigurable spatial architectures. 615-628 - Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh
CoNDA: efficient cache coherence support for near-data accelerators. 629-642 - Bhargava Gopireddy, Josep Torrellas:
Designing vertical processors in monolithic 3D. 643-656 - Yuanbo Fan, Simone Campanoni, Russ Joseph:
Time squeezing for tiny devices. 657-670 - Dong Du
XPC: architectural support for secure and efficient cross process call. 671-684 - Zhenhong Liu, Amir Yazdanbakhsh
AxMemo: hardware-compiler co-design for approximate code memoization. 685-697 - Zi Yan
Translation ranger: operating system support for contiguity-aware TLBs. 698-710 - Joseph McMahan, Michael Christensen, Kyle Dewey, Ben Hardekopf
Bouncer: static program analysis in hardware. 711-722 - Christos Sakalis, Stefanos Kaxiras, Alberto Ros
Efficient invisible speculative execution through selective delay and value prediction. 723-735 - Zhengrong Wang, Tony Nowatzki:
Stream-based memory access specialization for general purpose processors. 736-749 - Lluís Vilanova
Using SMT to accelerate nested virtualization. 750-761 - Andrea Lottarini, João Pedro Cerqueira, Thomas J. Repetti, Stephen A. Edwards
Master of none acceleration: a comparison of accelerator architectures for analytical query processing. 762-773 - Gyu-hyeon Lee, Dongmoon Min, Ilkwon Byun
Cryogenic computer architecture modeling with memory-side case studies. 774-787 - Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen
Cambricon-F: machine learning computers with fractal von neumann architecture. 788-801 - Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
FloatPIM: in-memory acceleration of deep neural network training with high precision. 802-815
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