| 2019 | 3D-based video recognition acceleration by leveraging temporal locality. |
| 2019 | A quantum computational compiler and design tool for technology-specific targets. Kaitlin N. Smith, Mitchell A. Thornton |
| 2019 | A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang |
| 2019 | Accelerating distributed reinforcement learning with in-switch computing. Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang |
| 2019 | Adaptive memory-side last-level GPU caching. Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout |
| 2019 | Anubis: ultra-low overhead and recovery time for secure non-volatile memories. Kazi Abu Zubair, Amro Awad |
| 2019 | AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan |
| 2019 | Asymptotic improvements to quantum circuits via qutrits. Pranav Gokhale, Jonathan M. Baker, Casey Duckering, Natalie C. Brown, Kenneth R. Brown, Frederic T. Chong |
| 2019 | AxMemo: hardware-compiler co-design for approximate code memoization. Zhenhong Liu, Amir Yazdanbakhsh, Dong Kai Wang, Hadi Esmaeilzadeh, Nam Sung Kim |
| 2019 | Bit-level perceptron prediction for indirect branches. Elba Garza, Samira Mirbagher Ajorpaz, Tahsin Ahmad Khan, Daniel A. Jiménez |
| 2019 | Bouncer: static program analysis in hardware. Joseph McMahan, Michael Christensen, Kyle Dewey, Ben Hardekopf, Timothy Sherwood |
| 2019 | CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability. Hasan Hassan, Minesh Patel, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Nika Mansouri-Ghiasi, Saugata Ghose, Onur Mutlu |
| 2019 | Cambricon-F: machine learning computers with fractal von neumann architecture. Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen |
| 2019 | CoNDA: efficient cache coherence support for near-data accelerators. Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu |
| 2019 | Cryogenic computer architecture modeling with memory-side case studies. Gyu-hyeon Lee, Dongmoon Min, Ilkwon Byun, Jangwoo Kim |
| 2019 | DeepAttest: an end-to-end attestation framework for deep neural networks. Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar |
| 2019 | Designing vertical processors in monolithic 3D. Bhargava Gopireddy, Josep Torrellas |
| 2019 | Duality cache for data parallel acceleration. Daichi Fujiki, Scott A. Mahlke, Reetuparna Das |
| 2019 | Eager pruning: algorithm and architecture support for fast training of deep neural networks. Jiaqi Zhang, Xiangru Chen, Mingcong Song, Tao Li |
| 2019 | Efficient invisible speculative execution through selective delay and value prediction. Christos Sakalis, Stefanos Kaxiras, Alberto Ros, Alexandra Jimborean, Magnus Själander |
| 2019 | Efficient metadata management for irregular data prefetching. Hao Wu, Krishnendra Nathella, Dam Sunwoo, Akanksha Jain, Calvin Lin |
| 2019 | Emerald: graphics modeling for SoC systems. Ayub A. Gubran, Tor M. Aamodt |
| 2019 | Energy-efficient video processing for virtual reality. Yue Leng, Chi-Chun Chen, Qiuyue Sun, Jian Huang, Yuhao Zhu |
| 2019 | Filter caching for free: the untapped potential of the store-buffer. Ricardo Alves, Alberto Ros, David Black-Schaffer, Stefanos Kaxiras |
| 2019 | Fine-grained warm water cooling for improving datacenter economy. Weixiang Jiang, Ziyang Jia, Sirui Feng, Fangming Liu, Hai Jin |
| 2019 | FloatPIM: in-memory acceleration of deep neural network training with high precision. Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing |
| 2019 | Full-stack, real-system quantum computer studies: architectural comparisons and design insights. Prakash Murali, Norbert Matthias Linke, Margaret Martonosi, Ali Javadi-Abhari, Nhung Hong Nguyen, Cinthia Huerta Alderete |
| 2019 | Generative and multi-phase learning for computer systems optimization. Yi Ding, Nikita Mishra, Henry Hoffmann |
| 2019 | GraphSSD: graph semantics aware SSD. Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram |
| 2019 | HALO: accelerating flow classification for scalable packet processing in NFV. Yifan Yuan, Yipeng Wang, Ren Wang, Jian Huang |
| 2019 | IntelliNoC: a holistic design framework for energy-efficient and reliable on-chip communication for manycores. Ke Wang, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu |
| 2019 | Interplay between hardware prefetcher and page eviction policy in CPU-GPU unified virtual memory. Debashis Ganguly, Ziyu Zhang, Jun Yang, Rami G. Melhem |
| 2019 | InvisiPage: oblivious demand paging for secure enclaves. Shaizeen Aga, Satish Narayanasamy |
| 2019 | Janus: optimizing memory and storage support for non-volatile memory systems. Sihang Liu, Korakit Seemakhupt, Gennady Pekhimenko, Aasheesh Kolli, Samira Manabi Khan |
| 2019 | Laconic deep learning inference acceleration. Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos |
| 2019 | Linebacker: preserving victim cache lines in idle register files of GPUs. Yunho Oh, Gunjae Koo, Murali Annavaram, Won Woo Ro |
| 2019 | MGPUSim: enabling multi-GPU performance modeling and optimization. Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli |
| 2019 | Master of none acceleration: a comparison of accelerator architectures for analytical query processing. Andrea Lottarini, João Pedro Cerqueira, Thomas J. Repetti, Stephen A. Edwards, Kenneth A. Ross, Mingoo Seok, Martha A. Kim |
| 2019 | MicroScope: enabling microarchitectural replay attacks. Dimitrios Skarlatos, Mengjia Yan, Bhargava Gopireddy, Read Sprabery, Josep Torrellas, Christopher W. Fletcher |
| 2019 | MnnFast: a fast and scalable system architecture for memory-augmented neural networks. Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim |
| 2019 | New attacks and defense for encrypted-address cache. Moinuddin K. Qureshi |
| 2019 | OO-VR: NUMA friendly object-oriented VR rendering framework for future NUMA-based multi-GPU systems. Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song |
| 2019 | Opportunistic computing in GPU architectures. Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das |
| 2019 | PES: proactive event scheduling for responsive and energy-efficient mobile web computing. Yu Feng, Yuhao Zhu |
| 2019 | Perceptron-based prefetch filtering. Eshan Bhatia, Gino Chacon, Seth H. Pugsley, Elvira Teran, Paul V. Gratz, Daniel A. Jiménez |
| 2019 | Post-silicon CPU adaptation made practical using machine learning. 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 |
| 2019 | Proceedings of the 46th International Symposium on Computer Architecture, ISCA 2019, Phoenix, AZ, USA, June 22-26, 2019 Srilatha Bobbie Manne, Hillery C. Hunter, Erik R. Altman |
| 2019 | SCU: a GPU stream compaction unit for graph processing. Albert Segura, José-María Arnau, Antonio González |
| 2019 | Scalable interconnects for reconfigurable spatial architectures. Yaqi Zhang, Alexander Rucker, Matthew Vilim, Raghu Prabhakar, William Hwang, Kunle Olukotun |
| 2019 | SecDir: a secure directory to defeat directory side-channel attacks. Mengjia Yan, Jen-Yang Wen, Christopher W. Fletcher, Josep Torrellas |
| 2019 | Secure TLBs. Shuwen Deng, Wenjie Xiong, Jakub Szefer |
| 2019 | SoftSKU: optimizing server architectures for microservice diversity @scale. Akshitha Sriraman, Abhishek Dhanotia, Thomas F. Wenisch |
| 2019 | Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks. Tzu-Hsien Yang, Hsiang-Yun Cheng, Chia-Lin Yang, I-Ching Tseng, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li |
| 2019 | Statistical assertions for validating patterns and finding bugs in quantum programs. Yipeng Huang, Margaret Martonosi |
| 2019 | Stream-based memory access specialization for general purpose processors. Zhengrong Wang, Tony Nowatzki |
| 2019 | TIE: energy-efficient tensor train-based inference engine for deep neural network. Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan |
| 2019 | TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian |
| 2019 | TWiCe: preventing row-hammering by exploiting time window counters. Eojin Lee, Ingab Kang, Sukhan Lee, G. Edward Suh, Jung Ho Ahn |
| 2019 | Time squeezing for tiny devices. Yuanbo Fan, Simone Campanoni, Russ Joseph |
| 2019 | Translation ranger: operating system support for contiguity-aware TLBs. Zi Yan, Daniel Lustig, David W. Nellans, Abhishek Bhattacharjee |
| 2019 | Triad-NVM: persistency for integrity-protected and encrypted non-volatile memories. Amro Awad, Mao Ye, Yan Solihin, Laurent Njilla, Kazi Abu Zubair |
| 2019 | Using SMT to accelerate nested virtualization. Lluís Vilanova, Nadav Amit, Yoav Etsion |
| 2019 | XPC: architectural support for secure and efficient cross process call. Dong Du, Zhichao Hua, Yubin Xia, Binyu Zang, Haibo Chen |