| 2022 | A bridge-based algorithm for simultaneous primal and dual defects compression on topologically quantum-error-corrected circuits. Wei-Hsiang Tseng, Yao-Wen Chang |
| 2022 | A cost-efficient fully synthesizable stochastic time-to-digital converter design based on integral nonlinearity scrambling. Qiaochu Zhang, Shiyu Su, Mike Shuo-Wei Chen |
| 2022 | A cross-layer approach to cognitive computing: invited. Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy |
| 2022 | A defect tolerance framework for improving yield. Shiva Shankar Thiagarajan, Suriyaprakash Natarajan, Yiorgos Makris |
| 2022 | A distributed approach to silicon compilation: invited. Andreas Olofsson, William Ransohoff, Noah Moroze |
| 2022 | A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M. Hassan Najafi, Mohsen Imani |
| 2022 | A fast and scalable qubit-mapping method for noisy intermediate-scale quantum computers. Sunghye Park, Daeyeon Kim, Minhyuk Kweon, Jae-Yoon Sim, Seokhyeong Kang |
| 2022 | A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization. Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang |
| 2022 | A joint management middleware to improve training performance of deep recommendation systems with SSDs. Chun-Feng Wu, Carole-Jean Wu, Gu-Yeon Wei, David Brooks |
| 2022 | A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding |
| 2022 | A near-storage framework for boosted data preprocessing of mass spectrum clustering. Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2022 | A scalable SIMD RISC-V based processor with customized vector extensions for CRYSTALS-kyber. Huimin Li, Nele Mentens, Stjepan Picek |
| 2022 | A scalable symbolic simulation tool for low power embedded systems. Subhash Sethumurugan, Shashank Hegde, Hari Cherupalli, John Sartori |
| 2022 | A time-to-first-spike coding and conversion aware training for energy-efficient deep spiking neural network processor design. Dongwoo Lew, Kyungchul Lee, Jongsun Park |
| 2022 | A timing engine inspired graph neural network model for pre-routing slack prediction. Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin |
| 2022 | A2-ILT: GPU accelerated ILT with spatial attention mechanism. Qijing Wang, Bentian Jiang, Martin D. F. Wong, Evangeline F. Y. Young |
| 2022 | ABNN Liyan Shen, Ye Dong, Binxing Fang, Jinqiao Shi, Xuebin Wang, Shengli Pan, Ruisheng Shi |
| 2022 | ADEPT: automatic differentiable DEsign of photonic tensor cores. Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan |
| 2022 | AL-PA: cross-device profiled side-channel attack using adversarial learning. Pei Cao, Hongyi Zhang, Dawu Gu, Yan Lu, Yidong Yuan |
| 2022 | ALICE: an automatic design flow for eFPGA redaction. Chiara Muscari Tomajoli, Luca Collini, Jitendra Bhandari, Abdul Khader Thalakkattu Moosa, Benjamin Tan, Xifan Tang, Pierre-Emmanuel Gaillardon, Ramesh Karri, Christian Pilato |
| 2022 | ASAP: reconciling asynchronous real-time operations and proofs of execution in simple embedded systems. Adam Caulfield, Norrathep Rattanavipanon, Ivan De Oliveira Nunes |
| 2022 | ASTERS: adaptable threshold spike-timing neuromorphic design with twin-column ReRAM synapses. Ziru Li, Qilin Zheng, Bonan Yan, Ru Huang, Bing Li, Yiran Chen |
| 2022 | AVATAR: an aging- and variation-aware dynamic timing analyzer for application-based DVAFS. Zuodong Zhang, Zizheng Guo, Yibo Lin, Runsheng Wang, Ru Huang |
| 2022 | Accelerated synthesis of neural network-based barrier certificates using collaborative learning. Jun Xia, Ming Hu, Xin Chen, Mingsong Chen |
| 2022 | Accelerating and pruning CNNs for semantic segmentation on FPGA. Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone |
| 2022 | Accelerating nonlinear DC circuit simulation with reinforcement learning. Zhou Jin, Haojie Pei, Yichao Dong, Xiang Jin, Xiao Wu, Wei W. Xing, Dan Niu |
| 2022 | Accelerator design with decoupled hardware customizations: benefits and challenges: invited. Debjit Pal, Yi-Hsiang Lai, Shaojie Xiang, Niansong Zhang, Hongzheng Chen, Jeremy Casas, Pasquale Cocchini, Zhenkun Yang, Jin Yang, Louis-Noël Pouchet, Zhiru Zhang |
| 2022 | Accurate BDD-based unitary operator manipulation for scalable and robust quantum circuit verification. Chun-Yu Wei, Yuan-Hung Tsai, Chiao-Shan Jhang, Jie-Hong R. Jiang |
| 2022 | Accurate timing prediction at placement stage with look-ahead RC network. Xu He, Zhiyong Fu, Yao Wang, Chang Liu, Yang Guo |
| 2022 | Adaptive neural recovery for highly robust brain-like representation. Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani |
| 2022 | Adaptive window-based sensor attack detection for cyber-physical systems. Lin Zhang, Zifan Wang, Mengyu Liu, Fanxin Kong |
| 2022 | Algorithm/architecture co-design for energy-efficient acceleration of multi-task DNN. Jaekang Shin, Seungkyu Choi, Jongwoo Ra, Lee-Sup Kim |
| 2022 | Alleviating datapath conflicts and design centralization in graph analytics acceleration. Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie |
| 2022 | An efficient yield optimization method for analog circuits via gaussian process classification and varying-sigma sampling. Xiaodong Wang, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng |
| 2022 | An energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection. Jiahao Liu, Zirui Zhong, Yong Zhou, Hui Qiu, Jianbiao Xiao, Jiajing Fan, Zhaomin Zhang, Sixu Li, Yiming Xu, Siqi Yang, Weiwei Shan, Shuisheng Lin, Liang Chang, Jun Zhou |
| 2022 | Apple vs. EMA: electromagnetic side channel attacks on apple CoreCrypto. Gregor Haas, Aydin Aysu |
| 2022 | Architecting DDR5 DRAM caches for non-volatile memory systems. Xin Xin, Wanyi Zhu, Li Zhao |
| 2022 | Automated accelerator optimization aided by graph neural networks. Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong |
| 2022 | Automatic oracle generation in microsoft's quantum development kit using QIR and LLVM passes. Mathias Soeken, Mariia Mykhailova |
| 2022 | Automating hardware security property generation: invited. Ryan Kastner, Francesco Restuccia, Andres Meza, Sayak Ray, Jason M. Fung, Cynthia Sturton |
| 2022 | AxoNN: energy-aware execution of neural network inference on multi-accelerator heterogeneous SoCs. Ismet Dagli, Alexander Cieslewicz, Jedidiah McClurg, Mehmet E. Belviranli |
| 2022 | Beyond local optimality of buffer and splitter insertion for AQFP circuits. Siang-Yun Lee, Heinz Riener, Giovanni De Micheli |
| 2022 | Bipolar vector classifier for fault-tolerant deep neural networks. Suyong Lee, Insu Choi, Joon-Sung Yang |
| 2022 | BlueScale: a scalable memory architecture for predictable real-time computing on highly integrated SoCs. Zhe Jiang, Kecheng Yang, Neil C. Audsley, Nathan Fisher, Weisong Shi, Zheng Dong |
| 2022 | BlueSeer: AI-driven environment detection via BLE scans. Valentin Poirot, Oliver Harms, Hendric Martens, Olaf Landsiedel |
| 2022 | Bringing source-level debugging frameworks to hardware generators. Keyi Zhang, Zain Asgar, Mark Horowitz |
| 2022 | CDB: critical data backup design for consumer devices with high-density flash based hybrid storage. Longfei Luo, Dingcui Yu, Liang Shi, Chuanming Ding, Changlong Li, Edwin H.-M. Sha |
| 2022 | CLIMBER: defending phase change memory against inconsistent write attacks. Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao |
| 2022 | CNN-inspired analytical global placement for large-scale heterogeneous FPGAs. Huimin Wang, Xingyu Tong, Chenyue Ma, Runming Shi, Jianli Chen, Kun Wang, Jun Yu, Yao-Wen Chang |
| 2022 | CP-SRAM: charge-pulsation SRAM marco for ultra-high energy-efficiency computing-in-memory. He Zhang, Linjun Jiang, Jianxin Wu, Tingran Chen, Junzhan Liu, Wang Kang, Weisheng Zhao |
| 2022 | CREAM: computing in ReRAM-assisted energy and area-efficient SRAM for neural network acceleration. Liukai Xu, Songyuan Liu, Zhi Li, Dengfeng Wang, Yiming Chen, Yanan Sun, Xueqing Li, Weifeng He, Shi Xu |
| 2022 | CamSkyGate: camouflaged skyrmion gates for protecting ICs. Yuqiao Zhang, Chunli Tang, Peng Li, Ujjwal Guin |
| 2022 | CarM: hierarchical episodic memory for continual learning. Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon |
| 2022 | Chiplet actuary: a quantitative cost model and multi-chiplet architecture exploration. Yinxiao Feng, Kaisheng Ma |
| 2022 | Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system. Yujun Huang, Bin Chen, Jianghui Zhang, Han Qiu, Shu-Tao Xia |
| 2022 | Conditional address propagation: an efficient defense mechanism against transient execution attacks. Peinan Li, Rui Hou, Lutan Zhao, Yifan Zhu, Dan Meng |
| 2022 | Contrastive quant: quantization makes stronger contrastive learning. Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin |
| 2022 | DA PUF: dual-state analog PUF. Jiliang Zhang, Lin Ding, Zhuojun Chen, Wenshang Li, Gang Qu |
| 2022 | DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10 - 14, 2022 Rob Oshana |
| 2022 | DARPT: defense against remote physical attack based on TDC in multi-tenant scenario. Fan Zhang, Zhiyong Wang, Haoting Shen, Bolin Yang, Qianmei Wu, Kui Ren |
| 2022 | DELTA: DEsigning a stealthy trigger mechanism for analog hardware trojans and its detection analysis. Nishant Gupta, Mohil Sandip Desai, Mark Wijtvliet, Shubham Rai, Akash Kumar |
| 2022 | DETERRENT: detecting trojans using reinforcement learning. Vasudev Gohil, Satwik Patnaik, Hao Guo, Dileep Kalathil, Jeyavijayan (JV) Rajendran |
| 2022 | DeepGate: learning neural representations of logic gates. Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu |
| 2022 | Design-while-verify: correct-by-construction control learning with verification in the loop. Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu |
| 2022 | Designing ML-resilient locking at register-transfer level. Dominik Sisejkovic, Luca Collini, Benjamin Tan, Christian Pilato, Ramesh Karri, Rainer Leupers |
| 2022 | Designing critical systems with iterative automated safety analysis. Ran Wei, Zhe Jiang, Xiaoran Guo, Haitao Mei, Athanasios Zolotas, Tim Kelly |
| 2022 | Differentiable-timing-driven global placement. Zizheng Guo, Yibo Lin |
| 2022 | Domain knowledge-infused deep learning for automated analog/radio-frequency circuit parameter optimization. Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma |
| 2022 | Don't open row: rethinking row buffer policy for improving performance of non-volatile memories. Yongho Lee, Osang Kwon, Seokin Hong |
| 2022 | E Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang |
| 2022 | EBSP: evolving bit sparsity patterns for hardware-friendly inference of quantized deep neural networks. Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang |
| 2022 | EMS: efficient memory subsystem synthesis for spatial accelerators. Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang |
| 2022 | EcoFusion: energy-aware adaptive sensor fusion for efficient autonomous vehicle perception. Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque |
| 2022 | Effective zero compression on ReRAM-based sparse DNN accelerators. Hoon Shin, Rihae Park, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, Jae W. Lee |
| 2022 | Efficiency attacks on spiking neural networks. Sarada Krithivasan, Sanchari Sen, Nitin Rathi, Kaushik Roy, Anand Raghunathan |
| 2022 | Efficient access scheme for multi-bank based NTT architecture through conflict graph. Xiangren Chen, Bohan Yang, Yong Lu, Shouyi Yin, Shaojun Wei, Leibo Liu |
| 2022 | Efficient bayesian yield analysis and optimization with active learning. Shuo Yin, Xiang Jin, Linxu Shi, Kang Wang, Wei W. Xing |
| 2022 | Efficient ensembles of graph neural networks. Amrit Nagarajan, Jacob R. Stevens, Anand Raghunathan |
| 2022 | Efficient maximum data age analysis for cause-effect chains in automotive systems. Ran Bi, Xinbin Liu, Jiankang Ren, Pengfei Wang, Huawei Lv, Guozhen Tan |
| 2022 | Efficient timing propagation with simultaneous structural and pipeline parallelisms: late breaking results. Cheng-Hsiang Chiu, Tsung-Wei Huang |
| 2022 | Enabling efficient deep convolutional neural network-based sensor fusion for autonomous driving. Xiaoming Zeng, Zhendong Wang, Yang Hu |
| 2022 | Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. Hongxiang Fan, Martin Ferianc, Wayne Luk |
| 2022 | Enabling hard constraints in differentiable neural network and accelerator co-exploration. Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee |
| 2022 | Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin |
| 2022 | Equivalence checking paradigms in quantum circuit design: a case study. Tom Peham, Lukas Burgholzer, Robert Wille |
| 2022 | Eventor: an efficient event-based monocular multi-view stereo accelerator on FPGA platform. Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu, Weisheng Zhao |
| 2022 | Exploiting data locality in memory for ORAM to reduce memory access overheads. Jinxi Kuang, Minghua Shen, Yutong Lu, Nong Xiao |
| 2022 | FHDnn: communication efficient and robust federated learning for AIoT networks. Rishikanth Chandrasekaran, Kazim Ergun, Jihyun Lee, Dhanush Nanjunda, Jaeyoung Kang, Tajana Rosing |
| 2022 | FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | FaSe: fast selective flushing to mitigate contention-based cache timing attacks. Tuo Li, Sri Parameswaran |
| 2022 | Fast and scalable human pose estimation using mmWave point cloud. Sizhe An, Ümit Y. Ogras |
| 2022 | Flexible chip placement via reinforcement learning: late breaking results. Fu-Chieh Chang, Yu-Wei Tseng, Ya-Wen Yu, Ssu-Rui Lee, Alexandru Cioba, I-Lun Tseng, Da-Shan Shiu, Jhih-Wei Hsu, Cheng-Yuan Wang, Chien-Yi Yang, Ren-Chu Wang, Yao-Wen Chang, Tai-Chen Chen, Tung-Chieh Chen |
| 2022 | Floorplanning with graph attention. Yiting Liu, Ziyi Ju, Zhengming Li, Mingzhi Dong, Hai Zhou, Jia Wang, Fan Yang, Xuan Zeng, Li Shang |
| 2022 | Formal verification of modular multipliers using symbolic computer algebra and boolean satisfiability. Alireza Mahzoon, Daniel Große, Christoph Scholl, Alexander Konrad, Rolf Drechsler |
| 2022 | Frontmatter. |
| 2022 | Functionality matters in netlist representation learning. Ziyi Wang, Chen Bai, Zhuolun He, Guangliang Zhang, Qiang Xu, Tsung-Yi Ho, Bei Yu, Yu Huang |
| 2022 | GATSPI: GPU accelerated gate-level simulation for power improvement. Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany |
| 2022 | GEML: GNN-based efficient mapping method for large loop applications on CGRA. Mingyang Kou, Jun Zeng, Boxiao Han, Fei Xu, Jiangyuan Gu, Hailong Yao |
| 2022 | GENERIC: highly efficient learning engine on edge using hyperdimensional computing. Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing |
| 2022 | GLite: a fast and efficient automatic graph-level optimizer for large-scale DNNs. Jiaqi Li, Min Peng, Qingan Li, Meizheng Peng, Mengting Yuan |
| 2022 | GNN-based concentration prediction for random microfluidic mixers. Weiqing Ji, Xingzhuo Guo, Shouan Pan, Tsung-Yi Ho, Ulf Schlichtmann, Hailong Yao |
| 2022 | GNNIE: GNN inference engine with load-balancing and graph-specific caching. Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Ramprasath S, Sachin S. Sapatnekar |
| 2022 | GTuner: tuning DNN computations on GPU via graph attention network. Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu |
| 2022 | GaBAN: a generic and flexibly programmable vector neuro-processor on FPGA. Jiajie Chen, Le Yang, Youhui Zhang |
| 2022 | Generative self-supervised learning for gate sizing: invited. Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing Ren |
| 2022 | Generic lithography modeling with dual-band optics-inspired neural networks. Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren |
| 2022 | Glimpse: mathematical embedding of hardware specification for neural compilation. Byung Hoon Ahn, Sean Kinzer, Hadi Esmaeilzadeh |
| 2022 | GraphRing: an HMC-ring based graph processing framework with optimized data movement. Zerun Li, Xiaoming Chen, Yinhe Han |
| 2022 | GuardNN: secure accelerator architecture for privacy-preserving deep learning. Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh |
| 2022 | H2H: heterogeneous model to heterogeneous system mapping with computation and communication awareness. Xinyi Zhang, Cong Hao, Peipei Zhou, Alex K. Jones, Jingtong Hu |
| 2022 | HCG: optimizing embedded code generation of simulink with SIMD instruction synthesis. Zhuo Su, Zehong Yu, Dongyan Wang, Yixiao Yang, Yu Jiang, Rui Wang, Wanli Chang, Jia-Guang Sun |
| 2022 | HDLock: exploiting privileged encoding to protect hyperdimensional computing models against IP stealing. Shijin Duan, Shaolei Ren, Xiaolin Xu |
| 2022 | HDPG: hyperdimensional policy-based reinforcement learning for continuous control. Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani |
| 2022 | HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen |
| 2022 | HIMap: a heuristic and iterative logic synthesis approach. Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Hongli Yan, Yupeng Wan |
| 2022 | HWST128: complete memory safety accelerator on RISC-V with metadata compression. Hsu-Kang Dow, Tuo Li, Sri Parameswaran |
| 2022 | Hammer: a modular and reusable physical design flow tool: invited. Harrison Liew, Daniel Grubb, John Wright, Colin Schmidt, Nayiri Krzysztofowicz, Adam M. Izraelevitz, Edward Wang, Krste Asanovic, Jonathan Bachrach, Borivoje Nikolic |
| 2022 | Handling non-unitaries in quantum circuit equivalence checking. Lukas Burgholzer, Robert Wille |
| 2022 | Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2022 | Heuristic adaptability to input dynamics for SpMM on CPUs. Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang |
| 2022 | Hexagons are the bestagons: design automation for silicon dangling bond logic. Marcel Walter, Samuel Sze Hang Ng, Konrad Walus, Robert Wille |
| 2022 | Hierarchical memory-constrained operator scheduling of neural architecture search networks. Zihan Wang, Chengcheng Wan, Yuting Chen, Ziyi Lin, He Jiang, Lei Qiao |
| 2022 | High-level design methods for hardware security: is it the right choice? invited. Christian Pilato, Donatella Sciuto, Benjamin Tan, Siddharth Garg, Ramesh Karri |
| 2022 | High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing. Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao |
| 2022 | High-performance placement for large-scale heterogeneous FPGAs with clock constraints. Ziran Zhu, Yangjie Mei, Zijun Li, Jingwen Lin, Jianli Chen, Jun Yang, Yao-Wen Chang |
| 2022 | Human emotion based real-time memory and computation management on resource-limited edge devices. Yijie Wei, Zhiwei Zhong, Jie Gu |
| 2022 | Hyperdimensional hashing: a robust and efficient dynamic hash table. Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum |
| 2022 | Improving GNN-based accelerator design automation with meta learning. Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong |
| 2022 | Improving LUT-based optimization for ASICs. Walter Lau Neto, Luca G. Amarù, Vinicius Possani, Patrick Vuillod, Jiong Luo, Alan Mishchenko, Pierre-Emmanuel Gaillardon |
| 2022 | Improving compute in-memory ECC reliability with successive correction. Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury |
| 2022 | In-situ self-powered intelligent vision system with inference-adaptive energy scheduling for BNN-based always-on perception. Maimaiti Nazhamaiti, Haijin Su, Han Xu, Zheyu Liu, Fei Qiao, Qi Wei, Zidong Du, Xinghua Yang, Li Luo |
| 2022 | InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs. Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li |
| 2022 | L-QoCo: learning to optimize cache capacity overloading in storage systems. Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li |
| 2022 | LHNN: lattice hypergraph neural network for VLSI congestion prediction. Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng |
| 2022 | LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. Gaurav Kolhe, Tyler David Sheaves, Kevin Immanuel Gubbi, Soheil Salehi, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Houman Homayoun |
| 2022 | LPCA: learned MRC profiling based cache allocation for file storage systems. Yibin Gu, Yifan Li, Hua Wang, Li Liu, Ke Zhou, Wei Fang, Gang Hu, Jinhu Liu, Zhuo Cheng |
| 2022 | LeHDC: learning-based hyperdimensional computing classifier. Shijin Duan, Yejia Liu, Shaolei Ren, Xiaolin Xu |
| 2022 | MATCHA: a fast and energy-efficient accelerator for fully homomorphic encryption over the torus. Lei Jiang, Qian Lou, Nrushad Joshi |
| 2022 | MC-CIM: a reconfigurable computation-in-memory for efficient stereo matching cost computation. Zhiheng Yue, Yabing Wang, Leibo Liu, Shaojun Wei, Shouyi Yin |
| 2022 | MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda |
| 2022 | Memory-efficient training of binarized neural networks on the edge. Mikail Yayla, Jian-Jia Chen |
| 2022 | MetaZip: a high-throughput and efficient accelerator for DEFLATE. Ruihao Gao, Xueqi Li, Yewen Li, Xun Wang, Guangming Tan |
| 2022 | Mixed-granularity parallel coarse-grained reconfigurable architecture. Jinyi Deng, Linyun Zhang, Lei Wang, Jiawei Liu, Kexiang Deng, Shibin Tang, Jiangyuan Gu, Boxiao Han, Fei Xu, Leibo Liu, Shaojun Wei, Shouyi Yin |
| 2022 | Multi-electrostatic FPGA placement considering SLICEL-SLICEM heterogeneity and clock feasibility. Jing Mai, Yibai Meng, Zhixiong Di, Yibo Lin |
| 2022 | NAX: neural architecture and memristive xbar based accelerator co-design. Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy |
| 2022 | NN-LUT: neural approximation of non-linear operations for efficient transformer inference. Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi |
| 2022 | Neural computation for robust and holographic face detection. Mohsen Imani, Ali Zakeri, Hanning Chen, Taehyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani |
| 2022 | NobLSM: an LSM-tree with non-blocking writes for SSDs. Haoran Dang, Chongnan Ye, Yanpeng Hu, Chundong Wang |
| 2022 | NovelRewrite: node-level parallel AIG rewriting. Shiju Lin, Jinwei Liu, Tianji Liu, Martin D. F. Wong, Evangeline F. Y. Young |
| 2022 | O'clock: lock the clock via clock-gating for SoC IP protection. M. Sazadur Rahman, Rui Guo, Hadi Mardani Kamali, Fahim Rahman, Farimah Farahmandi, Mohamed Abdel-Moneum, Mark Tehranipoor |
| 2022 | ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. Ruixuan Wang, Xun Jiao, X. Sharon Hu |
| 2022 | Optimizing parallel PREM compilation over nested loop structures. Zhao Gu, Rodolfo Pellizzoni |
| 2022 | Optimizing quantum circuit placement via machine learning. Hongxiang Fan, Ce Guo, Wayne Luk |
| 2022 | Optimizing quantum circuit synthesis for permutations using recursion. Cynthia Chen, Bruno Schmitt, Helena Zhang, Lev S. Bishop, Ali Javadi-Abhari |
| 2022 | PANORAMA: divide-and-conquer approach for mapping complex loop kernels on CGRA. Dhananjaya Wijerathne, Zhaoying Li, Thilini Kaushalya Bandara, Tulika Mitra |
| 2022 | PARIS and ELSA: an elastic scheduling algorithm for reconfigurable multi-GPU inference servers. Yunseong Kim, Yujeong Choi, Minsoo Rhu |
| 2022 | PATH: evaluation of boolean logic using path-based in-memory computing. Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz |
| 2022 | PHANES: ReRAM-based photonic accelerator for deep neural networks. Yinyi Liu, Jiaqi Liu, Yuxiang Fu, Shixi Chen, Jiaxu Zhang, Jiang Xu |
| 2022 | PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration. Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang |
| 2022 | PIPF-DRAM: processing in precharge-free DRAM. Nezam Rohbani, Mohammad Arman Soleimani, Hamid Sarbazi-Azad |
| 2022 | PPATuner: pareto-driven tool parameter auto-tuning in physical design via gaussian process transfer learning. Hao Geng, Qi Xu, Tsung-Yi Ho, Bei Yu |
| 2022 | Partition and place finite element model on wafer-scale engine. Jinwei Liu, Xiaopeng Zhang, Shiju Lin, Xinshi Zang, Jingsong Chen, Bentian Jiang, Martin D. F. Wong, Evangeline F. Y. Young |
| 2022 | PathFinder: side channel protection through automatic leaky paths identification and obfuscation. Haocheng Ma, Qizhi Zhang, Ya Gao, Jiaji He, Yiqiang Zhao, Yier Jin |
| 2022 | PatterNet: explore and exploit filter patterns for efficient deep neural networks. Behnam Khaleghi, Uday Mallappa, Duygu Yaldiz, Haichao Yang, Monil Shah, Jaeyoung Kang, Tajana Rosing |
| 2022 | Pipette: efficient fine-grained reads for SSDs. Shuhan Bai, Hu Wan, Yun Huang, Xuan Sun, Fei Wu, Changsheng Xie, Hung-Chih Hsieh, Tei-Wei Kuo, Chun Jason Xue |
| 2022 | Placement initialization via a projected eigenvector algorithm: late breaking results. Pengwen Chen, Chung-Kuan Cheng, Albert Chern, Chester Holtz, Aoxi Li, Yucheng Wang |
| 2022 | Power-aware pruning for ultrafast, energy-efficient, and accurate optical neural network design. Naoki Hattori, Yutaka Masuda, Tohru Ishihara, Akihiko Shinya, Masaya Notomi |
| 2022 | Precise and scalable shared cache contention analysis for WCET estimation. Wei Zhang, Mingsong Lv, Wanli Chang, Lei Ju |
| 2022 | Predictable sharing of last-level cache partitions for multi-core safety-critical systems. Zhuanhao Wu, Hiren D. Patel |
| 2022 | Pref-X: a framework to reveal data prefetching in commercial in-order cores. Quentin Huppert, Francky Catthoor, Lionel Torres, David Novo |
| 2022 | PriMax: maximizing DSL application performance with selective primitive acceleration. Nicholas Wendt, Todd M. Austin, Valeria Bertacco |
| 2022 | Processing-in-SRAM acceleration for ultra-low power visual 3D perception. Yuquan He, Songyun Qu, Gangliang Lin, Cheng Liu, Lei Zhang, Ying Wang |
| 2022 | Pursuing more effective graph spectral sparsifiers via approximate trace reduction. Zhiqiang Liu, Wenjian Yu |
| 2022 | QOC: quantum on-chip training with parameter shift and gradient pruning. Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han |
| 2022 | QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han |
| 2022 | QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim |
| 2022 | R2B: high-efficiency and fair I/O scheduling for multi-tenant with differentiated demands. Diansen Sun, Yunpeng Chai, Chaoyang Liu, Weihao Sun, Qingpeng Zhang |
| 2022 | REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables. Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh |
| 2022 | Raven: a novel kernel debugging tool on RISC-V. Hongyi Lu, Fengwei Zhang |
| 2022 | ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks. Cong Liu, Haikun Liu, Hai Jin, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li |
| 2022 | ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory. Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Zhuohui Duan, Dan Chen, Chuangyi Gui |
| 2022 | RegVault: hardware assisted selective data randomization for operating system kernels. Jinyan Xu, Haoran Lin, Ziqi Yuan, Wenbo Shen, Yajin Zhou, Rui Chang, Lei Wu, Kui Ren |
| 2022 | Response time analysis for dynamic priority scheduling in ROS2. Abdullah Al Arafat, Sudharsan Vaidhun, Kurt M. Wilson, Jinghao Sun, Zhishan Guo |
| 2022 | Rethinking key-value store for byte-addressable optane persistent memory. Sung-Ming Wu, Li-Pin Chang |
| 2022 | SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences. Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo |
| 2022 | SAPredictor: a simple and accurate self-adaptive predictor for hierarchical hybrid memory system. Yujuan Tan, Wei Chen, Zhulin Ma, Dan Xiao, Zhichao Yan, Duo Liu, Xianzhang Chen |
| 2022 | SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture. Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang |
| 2022 | SCAIE-V: an open-source SCAlable interface for ISA extensions for RISC-V processors. Mihaela Damian, Julian Oppermann, Christoph Spang, Andreas Koch |
| 2022 | SEALS: sensitivity-driven efficient approximate logic synthesis. Chang Meng, Xuan Wang, Jiajun Sun, Sijun Tao, Wei Wu, Zhihang Wu, Leibin Ni, Xiaolong Shen, Junfeng Zhao, Weikang Qian |
| 2022 | SEM-latch: a lost-cost and high-performance latch design for mitigating soft errors in nanoscale CMOS process. Zhong-Li Tang, Chia-Wei Liang, Ming-Hsien Hsiao, Charles H.-P. Wen |
| 2022 | SMART: on simultaneously marching racetracks to improve the performance of racetrack-based main memory. Xiangjun Peng, Ming-Chang Yang, Ho Ming Tsui, Chi Ngai Leung, Wang Kang |
| 2022 | SRA: a secure ReRAM-based DNN accelerator. Lei Zhao, Youtao Zhang, Jun Yang |
| 2022 | SS-LRU: a smart segmented LRU caching. Chunhua Li, Man Wu, Yuhan Liu, Ke Zhou, Ji Zhang, Yunqing Sun |
| 2022 | SWIM: selective write-verify for computing-in-memory neural accelerators. Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi |
| 2022 | Scalable crash consistency for secure persistent memory. Ming Zhang, Yu Hua, Xuan Li, Hao Xu |
| 2022 | ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited. Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen |
| 2022 | Scaled-CBSC: scaled counting-based stochastic computing multiplication for improved accuracy. Shuyuan Yu, Sheldon X.-D. Tan |
| 2022 | Scheduling and analysis of real-time tasks with parallel critical sections. Yang Wang, Xu Jiang, Nan Guan, Mingsong Lv, Dong Ji, Wang Yi |
| 2022 | Search space characterization for approximate logic synthesis. Linus Witschen, Tobias Wiersema, Lucas Reuter, Marco Platzner |
| 2022 | Secure by construction: addressing security vulnerabilities introduced during high-level synthesis: invited. Md Rafid Muttaki, Zahin Ibnat, Farimah Farahmandi |
| 2022 | Self adaptive reconfigurable arrays (SARA): learning flexible GEMM accelerator configuration and mapping-space using ML. Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna |
| 2022 | Serpens: a high bandwidth memory based accelerator for general-purpose sparse matrix-vector multiplication. Linghao Song, Yuze Chi, Licheng Guo, Jason Cong |
| 2022 | Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie |
| 2022 | Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang |
| 2022 | Silicon validation of LUT-based logic-locked IP cores. Gaurav Kolhe, Tyler Sheaves, Kevin Immanuel Gubbi, Tejas Kadale, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Hamid Mahmoodi, Houman Homayoun |
| 2022 | Sniper: cloud-edge collaborative inference scheduling with neural network similarity modeling. Weihong Liu, Jiawei Geng, Zongwei Zhu, Jing Cao, Zirui Lian |
| 2022 | SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2022 | Solving traveling salesman problems via a parallel fully connected ising machine. Qichao Tao, Jie Han |
| 2022 | Statistical computing framework and demonstration for in-memory computing systems. Bonan Zhang, Peter Deaville, Naveen Verma |
| 2022 | Subgraph matching based reference placement for PCB designs: late breaking results. Miaodi Su, Yifeng Xiao, Shu Zhang, Haiyuan Su, Jiacen Xu, Huan He, Ziran Zhu, Jianli Chen, Yao-Wen Chang |
| 2022 | TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang |
| 2022 | TAIM: ternary activation in-memory computing hardware with 6T SRAM array. Nameun Kang, Hyungjun Kim, Hyunmyung Oh, Jae-Joon Kim |
| 2022 | TailCut: improving performance and lifetime of SSDs using pattern-aware state encoding. Jaeyong Lee, Myungsuk Kim, Wonil Choi, SangGu Lee, Jihong Kim |
| 2022 | Tailor: removing redundant operations in memristive analog neural network accelerators. Xingchen Li, Zhihang Yuan, Guangyu Sun, Liang Zhao, Zhichao Lu |
| 2022 | Terminator on SkyNet: a practical DVFS attack on DNN hardware IP for UAV object detection. Junge Xu, Bohan Xuan, Anlin Liu, Mo Sun, Fan Zhang, Zeke Wang, Kui Ren |
| 2022 | The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi |
| 2022 | The basis of design tools for quantum computing: arrays, decision diagrams, tensor networks, and ZX-calculus. Robert Wille, Lukas Burgholzer, Stefan Hillmich, Thomas Grurl, Alexander Ploier, Tom Peham |
| 2022 | The larger the fairer?: small neural networks can achieve fairness for edge devices. Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang |
| 2022 | Thermal-aware drone battery management: late breaking results. Hojun Choi, Youngmoon Lee |
| 2022 | Thermal-aware optical-electrical routing codesign for on-chip signal communications. Yu-Sheng Lu, Kuan-Cheng Chen, Yu-Ling Hsu, Yao-Wen Chang |
| 2022 | Timed speculative attacks exploiting store-to-load forwarding bypassing cache-based countermeasures. Anirban Chakraborty, Nikhilesh Singh, Sarani Bhattacharya, Chester Rebeiro, Debdeep Mukhopadhyay |
| 2022 | Timing macro modeling with graph neural networks. Kevin Kai-Chun Chang, Chun-Yao Chiang, Pei-Yu Lee, Iris Hui-Ru Jiang |
| 2022 | Towards a formally verified hardware root-of-trust for data-oblivious computing. Lucas Deutschmann, Johannes Müller, Mohammad Rahmani Fadiheh, Dominik Stoffel, Wolfgang Kunz |
| 2022 | Towards collaborative intelligence: routability estimation based on decentralized private data. Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen |
| 2022 | Towards resilient analog in-memory deep learning via data layout re-organization. Muhammad Rashedul Haq Rashed, Amro Awad, Sumit Kumar Jha, Rickard Ewetz |
| 2022 | Trusting the trust anchor: towards detecting cross-layer vulnerabilities with hardware fuzzing. Chen Chen, Rahul Kande, Pouya Mahmoody, Ahmad-Reza Sadeghi, J. V. Rajendran |
| 2022 | Unicorn: a multicore neuromorphic processor with flexible fan-in and unconstrained fan-out for neurons. Zhijie Yang, Lei Wang, Yao Wang, LingHui Peng, Xiaofan Chen, Xun Xiao, Yaohua Wang, Weixia Xu |
| 2022 | Using machine learning to optimize graph execution on NUMA machines. Hiago Mayk G. de A. Rocha, Janaina Schwarzrock, Arthur Francisco Lorenzon, Antonio Carlos Schneider Beck |
| 2022 | VIPR-PCB: a machine learning based golden-free PCB assurance framework. Aritra Bhattacharyay, Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia |
| 2022 | VStore: in-storage graph based vector search accelerator. Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li |
| 2022 | VWR2A: a very-wide-register reconfigurable-array architecture for low-power embedded devices. Benoît W. Denkinger, Miguel Peón-Quirós, Mario Konijnenburg, David Atienza, Francky Catthoor |
| 2022 | Verifying SystemC TLM peripherals using modern C++ symbolic execution tools. Pascal Pieper, Vladimir Herdt, Daniel Große, Rolf Drechsler |
| 2022 | VirTEE: a full backward-compatible TEE with native live migration and secure I/O. Jianqiang Wang, Pouya Mahmoody, Ferdinand Brasser, Patrick Jauernig, Ahmad-Reza Sadeghi, Donghui Yu, Dahan Pan, Yuanyuan Zhang |
| 2022 | Voltage prediction of drone battery reflecting internal temperature. Jiwon Kim, Seunghyeok Jeon, Jaehyun Kim, Hojung Cha |
| 2022 | Waveform-based performance analysis of RISC-V processors: late breaking results. Lucas Klemmer, Daniel Große |
| 2022 | Winograd convolution: a perspective from fault tolerance. Xinghua Xue, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, Ying Wang |
| 2022 | Worst-case dynamic power distribution network noise prediction using convolutional neural network. Xiao Dong, Yufei Chen, Xunzhao Yin, Cheng Zhuo |
| 2022 | Write or not: programming scheme optimization for RRAM-based neuromorphic computing. Ziqi Meng, Yanan Sun, Weikang Qian |
| 2022 | XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan |
| 2022 | Xplace: an extremely fast and extensible global placement framework. Lixin Liu, Bangqi Fu, Martin D. F. Wong, Evangeline F. Y. Young |
| 2022 | Y-architecture-based flip-chip routing with dynamic programming-based bend minimization. Szu-Ru Nie, Yen-Ting Chen, Yao-Wen Chang |
| 2022 | YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip. Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li |
| 2022 | You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu |
| 2022 | Zhuyi: perception processing rate estimation for safety in autonomous vehicles. Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler |
| 2022 | iMARS: an in-memory-computing architecture for recommendation systems. Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu |
| 2022 | libcrpm: improving the checkpoint performance of NVM. Feng Ren, Kang Chen, Yongwei Wu |
| 2022 | mflowgen: a modular flow generator and ecosystem for community-driven physical design: invited. Alex Carsello, James Thomas, Ankita Nayak, Po-Han Chen, Mark Horowitz, Priyanka Raina, Christopher Torng |