ICCD 2022


Important Dates:

Abstract Submission
June 4, 2022, 11:59 AOE
June 18, 2022, 11:59 AOE

Paper Submission
June 11, 2022, 11:59 AOE
June 18, 2022, 11:59 AOE

Notification
August 21, 2022

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2022 IEEE International Conference on Computer Design (ICCD)

 

Tentative Program - all times are in Pacific Time (PDT)

Regular papers [R] have 20 mins (16 mins for presentation+4 mins for Q&A); Short papers [S] have 10 mins (8 mins for presentation+2 mins for Q&A) - All times are in PST

Monday, October 24, 2022
08:30-09:00 Opening session (General and Program Chairs)
09:00-10:00 Keynote 1: Computer Systems for Direct Communication with the Brain (Abhishek Bhattacharjee, Yale University)
(Session Chair: Amro Awad, NC State)
10:00-11:00 Session 1A: Circuit Design
Session Chair: Abhrajit Sengupta, Qualcomm
10:00-11:00 Session 1B: Memory Architectures
Session Chair: Paul Gratz, Texas A&M University
(21) (R) Flash-based Digital to Analog Conversion. Kyler Scott and Sunil Khatri (202) (R) Supporting Dynamic Translation Granularity for Hybrid Memory Systems. .Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park and Jaehyuk Huh
(241) (R) Accurate Prediction of ReRAM Crossbar Performance Under I-V. Sugil Lee, Mohammed Fouda, Jongeun Lee, Ahmed Eltawil and Fadi Kurdahi (295) (R) HyFarM: Task Orchestration on Hybrid Far Memory for High Performance Per Bit. Jing Wang, Chao Li, Junyi Mei, Hao He, Taolei Wang, Pengyu Wang, Lu Zhang, Minyi Guo, Hanqing Wu, Dongbai Chen and Xiangwen Liu
(302) (R) RHSCC-16T: Radiation Hardened Sextuple Cross Coupled Robust SRAM Design for Radiation Prone Environments. Pramod Kumar Bharti and Joycee Mekie (173) (R) Reexamining the CGRA Memory Sub-system for Higher Memory Utilization and Performance. Lei Dai, Ying Wang, Cheng Liu, Fuping Li, Huawei Li and Xiaowei Li
11:00-11:20 Coffee Break
11:20-12:30 Session 2A: Caches and Disks
Session Chair: Pedro Trancoso, Chalmers University of Technology
11:20-12:30 Session 2B: Secure Systems
Session Chair: Arman Roohi, University of Nebraska Lincoln
(14) (R) SLAP-CC: Set-Level Adaptive Prefetching for Compressed Caches. Laith Albarakat, Paul Gratz and Daniel Jimenez (124) (R) Secure Access Policy (SAP): Invisibly Executing Speculative Unsafe Accesses in an Isolated Environment. Xiaoni Meng, Qiusong Yang, Yiwei Ci, Pei Zhao, Shan Zhao, Tianlin Huo and Mingshu Li
(114) (R) PACA: A Page Type Aware Read Cache Scheme in QLC Flash-based SSDs. Qihui Chen, Shuai Wang, You Zhou, Fei Wu, Shu Li, Zhengyong Wang and Changsheng Xie (79) (R) DNNCloak: Secure DNN Models Against Memory Side-channel Based Reverse Engineering Attacks. Yuezhi Che and Rujia Wang
(290) (R) A Multi-Factor Adaptive Multi-Level Cooperative Replacement Policy in Block Storage Systems. Zhou Yang, Fang Wang, Zhan Shi and Dan Feng (301) (R) MultiCon: An Efficient, Fast Timing-based Side Channel Attack that Exploits Multiple Shared Hardware Channels in Shared Memory Multicores. Usman Ali and Omer Khan
(30) (S) Contention Tracking in GPU Last-Level Cache. Javier Barrera, Leonidas Kosmidis, Hamid Tabani, Jaume Abella and Francisco J. Cazorla (184) (S) Tunable Memory Protection for Secure Neural Processing Units. Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park and Jaehyuk Huh
12:30-13:30 Lunch
13:30-15:10 Special Session: Noise-aware Quantum Synthesis and Compilation
Session Chair: Rathish Jayabharathi, Intel
13:30-15:10 Session 3B: Architectures and Systems
Session Chair: Hossein Sayadi, CSU Long Beach
(371) (R) Design and Analysis of a Scalable and Efficient Quantum Circuit for LWE Matrix Arithmetic. Chao Lu, Utsav Banerjee and Kanad Basu (311) (R) Enhancing GPU Performance via Neighboring Directory Table Based Inter-TLB Sharing. Yajuan Du, Mingyang Liu, Yuqi Yang, Mingzhe Zhang and Xulong Tang
(357) (R) Optimization of Quantum read-Only Memory Circuits. Koustubh Phalak, Mahabubul Alam, Abdullah Ash-Saki, Rasit Onur Topaloglu and Swaroop Ghosh (314) (R) GRPU: An Efficient Graph-based Cross-Rack Parallel Update Scheme for Cloud Storage Systems. Ranhao Jia, Haiwei Deng, Yunfei Gu, Huangzhen Xue, Chentao Wu, Shiyi Li, Jie Li, Guangtao Xue and Minyi Guo
(363) (R) Exploiting Quantum Assertions for Error Mitigation and Quantum Program Debugging. Peiyi Li, Ji Liu, Yangjia Li and Huiyang Zhou (15) (R) Accelerating Garbage Collection of 3D Flash Memory via Exploiting Inter-Channel Parallelism. Hongbin Gong, Zhirong Shen and Jiwu Shu
(358) (R) Modeling of Noisy Quantum Circuits using Random Matrix Theory. Daniel Volya and Prabhat Mishra (331) (R) SuperCDC: A Hybrid Design of High-performance Content-Defined Chunking for Fast Deduplication. Binzhaoshuo Wan, Lifeng Pu, Xiangyu Zou, Shiyi Li, Wen Xia and Peng Wang
(362) (R) Machine Learning for Quantum Hardware Performance Assessment. Vedika Saravanan and Samah Saeed (340) (R) HaLSM: A Hotspot-aware LSM-tree based Key-Value Storage Engine. Jianshun Zhang, Fang Wang and Chao Dong
15:10-15:30 Coffee Break
15:30-16:30 Session 4A: Computer System Design
Session Chair: Christian Pilato, Politecnico di Milano
15:30-16:30 Special Session: Machine Learning, EDA, and Heterogeneous Computing: How the Trio Pave the Future
Session Chair: Rathish Jayabharathi, Intel
(100) (R) RepKV: A Replicated Key-Value Store to Boost Multiple Indices for Key-Value Separation. Chenlei Tang, Jiguang Wan, Zhihu Tan and Guokuan Li (359) (R) Infusing Intelligence for Next Generation EDA: Promises, Challenges, and Prospects. Nan Wu, Yuan Xie and Cong Hao
(278) (R) Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks. Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang and Yanxiong Chen (360) (R) Auto-tuning of AI/ML Graphs for Optimal Performance in a Heterogenous Processor System. Ravikumar Chakaravarthy, Hua Jiang, Raghav Chakravarthy and Siddharth Das
(327) (S) Scheduling Information-Guided Efficient High-Level Synthesis Design Space Exploration. Xingyue Qian, Jian Shi, Li Shi, Haoyang Zhang, Lijian Bian and Weikang Qian (372) (R) Optimizing ML Classification Models for Constrained EDA Resource Budgets. Ganapathy Parthasarathy, Bhuvnesh Kumar, Saurav Nanda, Parivesh Choudhary and Sridhar Rajakumar
16:30-17:50 Session 5A: Security and Reliability
Session Chair: Abhrajit Sengupta, Qualcomm
16:30-17:50 Special Session: Algorithm–Hardware Co-Design for Graph Neural Networks
Session Chair: Rathish Jayabharathi, Intel
(344) (R) Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach. Zhangying He, Hosein Mohammadi Makrani, Setareh Rafatirad, Houman Homayoun and Hossein Sayadi (369) (R) Towards Real-time Temporal Graph Learning. Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding and Omer Khan
(212) (R) A Black-Box Sensitization Attack on SAT-Hard Instances in Logic Obfuscation. Isaac McDaniel, Michael Zuzak and Ankur Srivastava (370) (R) Towards Sparsification of Graph Neural Networks. Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan and Caiwen Ding
(318) (R) Efficient Finite State Machine Encoding for Defending Against Laser Fault Injection Attacks. Aruna Jayasena, Khushboo Rani and Prabhat Mishra (367) (R) CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding and Tong Geng
(52) (S) Analysis and Mitigation of Data Sanitization Overhead in DAX File Systems. Soyoung Park, Jongseok Kim, Younghoon Lim and Euiseong Seo (368) (R) On the Design of Quantum Graph Convolutional Neural Network in the NISQ era and beyond. Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng and Weiwen Jiang
(321) (S) Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. Sanket Shukla, Abhijitt Dhavlle, Houman Homayoun, Setareh Rafatirad and Sai Manoj Pudukotai Dinakarrao
Tuesday, October 25, 2022
08:30-09:30 Keynote: Hardware Architecture for the AI Future (Valeria Bertacco, University of Michigan)
(Session Chair: Christian Pilato, Politecnico di Milano)
09:30-11:00 Session 6A: Disks and File Systems
Session Chair: Amro Awad, NC State
10:00-11:00 Session 6B: Novel Architectures
Session Chair: Vivek Mangal, WiLO Networks
(101) (R) ES4D: Accelerating Exact Similarity Search for High-Dimensional Vectors via Vector Slicing and In-SSD Computation. Juhwan Kim, Jongseon Seo, Jong-Hyeok Park, Sang-Won Lee, Hongchan Roh and Hyungmin Cho (140) (R) CPR: Crossbar-grain Pruning for RRAM-based Accelerator with Coordinate-based Weight Mapping. Jihye Park and Seokhyeong Kang
(147) (R) InDeF: An Advanced Defragmenter Supporting Migration Offloading on ZNS SSD. Wenjie Qi, Zhipeng Tan, Jicheng Shao, Lihua Yang and Yang Xiao (320) (R) SoftFusion: A Low-Cost Approach to Enhance Reliability of Object Detection Applications. Salar Latifi, Babak Zamirai and Scott Mahlke
(78) (R) A Focused Garbage Collection Approach for Primary Deduplicated Storage with Low Memory Overhead. Jingsong Yuan, Xiangyu Zou, Han Xu, Zhichao Cao, Shiyi Li, Wen Xia, Peng Wang and Li Chen (312) (R) Cost-Aware TVM (CAT) Tensorization for Modern Deep Learning Accelerators. Hu Yahang, Wang Yaohua, Dan Xiaoqiang, Hu Xiao, Liu Fei and Li Jinpeng
(34) (R) DPLFS: A Dual-Mode PCM-based Log-Structured File System. Wen Cheng, Telong Zheng, Lingfang Zeng, Yang Wang and André Brinkmann (38) (S) Segmenting Age Matrices to Improve Instruction Scheduling without Increasing Delay and Area. Hideki Ando
(60) (S) Log-ROC: Log Structured RAID on Open-Channel SSD. Teng Ma, Zhitao Li and Ning Liu (69) (S) AOME: Autonomous Optimal Mapping Exploration Using Reinforcement Learning for NoC-Based Accelerators Running Neural Networks. Yongqi Xue, Jinlun Ji, Xinyi Li, Siyue Li, Shize Zhou, Tong Cheng, Li Li and Yuxiang Fu
11:00-11:20 Coffee Break
11:20-12:30 Session 7A: Accelerators and Systems
Session Chair: Tosiron Adegbija, University of Arizona
11:20-12:30 Session 7B: Computer Systems
Session Chair: Hyokeun Lee, Seoul National University
(118) (R) VSA: A Hybrid Vector-Systolic Architecture. Mateo Vazquez Maceiras, Muhammad Waqar Azhar and Pedro Trancoso (280) (R) csRNA: Connection-Scalable RDMA NIC Architecture in Datacenter Environment. Ning Kang, Zhan Wang, Fan Yang, Xiaoxiao Ma, Zhenlong Ma, Guojun Yuan and Guangming Tan
(39) (R) Roofline Model based CNN Acceleration with Joint optimization of Practical Processing-in-memory and GPU on embedded devices. Tianyu Wang, Zhaoyan Shen and Zili Shao (54) (R) A Lightweight and Adaptive Cache Partitioning Scheme for Content Delivery Networks. Peng Wang, Zhelong Zhao, Yu Liu, Ke Zhou, Zhihai Huang and Yanxiong Chen
(55) (R) Purlin: A Versatile Toolkit for the Generation and Simulation of On-Chip Network. Yijiang Guo, Xinming Wei, Jiaxi Zhang and Guojie Luo (65) (S) ZNSKV: Reducing Data Migration in LSMT-Based KV Stores on ZNS SSDs. Denghui Wu, Biyong Liu, Wei Zhao and Wei Tong
(155) (S) Hardware Minimization of Two-Level Adiabatic Logic Based on Weighted Maximum Stable Set Problem. Yuya Ushioda and Mineo Kaneko (293) (S) BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays. Jianchao Yang, Mei Wen, Junzhong Shen, Yasong Cao, Minjin Tang, Renyu Yang, Jiawei Fei and Chunyuan Zhang
12:30-13:30 Lunch Keynote: DoD Access to Assured Microelectronics, Why it’s a Big Deal! (Brett Hamilton, DoD Research & Engineering)
(Session Chair: Amro Awad, NC State)
13:30-14:30 Break
14:30-16:00 Session 8A: AI Architectures
Session Chair: Pedro Trancoso, Chalmers University of Technology
14:30-16:00 Session 8B: Processor Architectures I
Session Chair: Sushant Kondguli, Meta Reality Labs
(104) (R) Do Not Forget: Exploiting Stability-Plasticity Dilemma to Expedite Unsupervised SNN Training for Neuromorphic Processors. Myeongjin Kwak and Yongtae Kim (84) (R) Instruction-aware Learning-based Timing Error Models through Significance-driven Approximations. Styliani Tompazi, Ioannis Tsiokanos, Jesus Martinez-del-Rincon, Georgios Karakonstantis and Lev Mukhanov
(268) (R) Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm. Sonia Lopez Alarcon, Cory Merkel, Alex Pozas-Kerstjens, Sabrina Ly and Martin Hoffnagle (242) (R) An In-depth Testing of x86 Instruction Disassemblers with Feedback-Controlled DFS Algorithm. Guang Wang, Ziyuan Zhu, Xu Cheng and Dan Meng
(94) (R) HL-DNA: A Hybrid Lossy/Lossless Encoding Scheme to Enhance DNA Storage Density and Robustness for Images. Yi Li, David Du, Li Ou and Bingzhe Li (206) (R) Composite Instruction Prefetching: Combining Complementary Instruction Prefetchers. Elba Garza, Gino Chacon, Alexandra Jimborean, Alberto Ros, Paul Gratz, Daniel Jimenez and Samira Mirbagher-Ajorpaz
(137) (R) LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahuyn Koo, Jeik Choi and Jaeha Kung (254) (R) Sparkle: A High Efficient Sparse Matrix Multiplication Accelerator for Deep Learning. Shiyao Xu, Jingfei Jiang, Jinwei Xu, Chaorun Liu, Yuanhong He, Xiaohang Liu and Lei Gao
(35) (S) Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs. Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang and Li Jiang (13) (S) FHAM: FPGA-based High-Efficiency Approximate Multipliers via LUT Encoding. Yao Shangshang and Zhang Liang
16:00-16:20 Coffee Break
16:20-17:50 Session 9A: AI Systems
Session Chair: Christian Pilato, Politecnico di Milano
16:20-17:50 Session 9B: Processor Architectures II
Session Chair: Syama Sundara Reddy Eswaravaka, Intel
(240) (R) Accelerating Hybrid Quantized Neural Networks on Multi-tenant in Cloud FPGA. Danielle Tchuinkou Kwadjo, Erman Nghonda, Joel Mandebi Mbongue and Christophe Bobda (183) (R) A Highly-Efficient Error Detection Technique for General Matrix Multiplication using Tiled Processing on SIMD Architecture. Chandra Sekhar Mummidi, Sandeep Bal, Brunno F. Goldstein, Sudarshan Srinivasan and Sandip Kundu
(310) (R) LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning. Gagandeep Singh, Dionysios Diamantopoulos, Juan Gomez-Luna, Sander Stuijk, Henk Corporaal and Onur Mutlu (113) (R) Fault Localization for Hardware Design Code with Time-Aware Program Spectrum. Jiang Wu, Zhuo Zhang, Deheng Yang, Xiankai Meng, Jiayu He, Xiaoguang Mao and Yan Lei
(175) (R) VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR. Xin Li, Ao Ren, Yujuan Tan, Xusheng Li, Zhetong Huang, Chengliang Wang, Xianzhang Chen and Duo Liu (141) (R) FSA: An Efficient Fault-tolerant Systolic Array-based DNN Accelerator Architecture. Yingnan Zhao, Ke Wang and Ahmed Louri
(50) (R) Full Stack Parallel Online Hyperdimensional Regression on FPGA. Hanning Chen, M. Hassan Najafi, Elaheh Sadredini and Mohsen Imani (142) (R) RelHD: A Lightweight Graph-based Learning with Hyperdimensional Computing. Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas and Tajana Rosing
(324) (S) HPMA-Saber: High-Performance Polynomial Multiplication Accelerator for KEM Saber. Pengzhou He, Tianyou Bao, Yazheng Tu and Jiafeng Xie (335) (S) SparseFabric: Ideal Topologies for Training Sparse Networks. Mihailo Isakov and Michel Kinsy
Wednesday, October 26, 2022
08:30-09:50 Special Session: Hardware Security and Trust
Session Chair: Rathish Jayabharathi, Intel
08:30-09:50 Session 10B: Data Management
Session Chair: Amro Awad, NC State
(361) (R) Area Efficient Asynchronous Circuits for Side Channel Attack Mitigation. Dallas Phillips, Pingxiuqi Chen and John Emmert (159) (R) NapFS: A High-Performance NUMA-Aware PM File System. Wenqing Jia, Dejun Jiang and Jin Xiong
(366) (R) Transition Recovery Attack on Embedded State Machines Using Power Analysis. Clay Carper, Andey Robins and Mike Borowczak (270) (R) SoftSSD: Software-defined SSD Development Platform for Rapid Flash Firmware Prototyping. Jin Xue, Renhai Chen and Zili Shao
(365) (R) Trojan Resilience in Implantable and Wearable Medical Devices with Virtual Biosensing. Shakil Mahmud, Farhath Zareen, Brooks Olney, Mateus A. Fernandes A. and Robert Karam (281) (R) Tripod: Harmonizing Job Scheduling and Data Caching for Analytics Frameworks. Yulai Tong, Cheng Wang, Jiazhen Liu, Hua Wang and Ke Zhou
(364) (R) Model Checking Leveraged Error Localization for Complex RTL Designs. Suriya Srinivasan and Ranga Vemuri (261) (R) FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems. Zirui Lian, Weihong Liu, Jing Cao, Zongwei Zhu and Xuehai Zhou
09:50-11:00 Session 11A: Neural Networks
Session Chair: Pedro Trancoso, Chalmers University of Technology
09:50-11:00 Session 11B: Networks and Large Systems
Session Chair: Tosiron Adegbija, University of Arizona
(48) (R) Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya and Qian Lin (37) (R) Equivalence Checking for Flow-Based Computing. Sven Thijssen, Sumit Kumar Jha and Rickard Ewetz
(125) (R) TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. Uday Mallappa, Pranav Gangwar, Behnam Khaleghi, Haichao Yang and Tajana Rosing (292) (R) A Stripe-Schedule Aware Repair Technique in the Heterogeneous Network for Erasure-coded Clusters. Hai Zhou, Dan Feng and Yuchong Hu
(332) (R) Power-Performance Characterization of TinyML Systems. Yujie Zhang, Dhananjaya Wijerathne, Zhaoying Li and Tulika Mitra (305) (R) Tear Up the Bubble Boom: Lessons Learned From a Deep Learning Research and Development Cluster. Zehua Yang, Zhisheng Ye, Tianhao Fu, Jing Luo, Yingwei Luo, Xaiolin Wang, Zhenlin Wang, Xiong Wei and Tianwei Zhang
(238) (S) Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir Rahmani, Nikil Dutt and Mohsen Imani (90) (S) RCS: A Redirection Computational Scheduler to Accelerate Straggler Recovery for Erasure Coded Cloud Storage System. Xinzhe Cao, Yunfei Gu, Chentao Wu, Jie Li, Minyi Guo, Yuanyuan Dong and Yafei Zhao
11:00-11:30 Coffee Break
11:30-12:30 Session 12A: Memory Technologies
Session Chair: Hyokeun Lee, Seoul National University
11:30-12:30 Session 12B: GPU and Memories
Session Chair: Abhrajit Sengupta, Qualcomm
(139) (R) A Study of STT-RAM-based In-Memory Computing Across the Memory Hierarchy. Dhruv Gajaria, Kevin Gomez and Tosiron Adegbija (319) (R) LAK: A Low-Overhead Lock-and-Key Based Schema for GPU Memory Safety. Chaochao Zhang and Rui Hou
(297) (R) Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces. Youri Su, Sanghun Lee, Eunji Song, Dongha Kim, Jaeduk Han and Hokeun Kim (73) (R) MG-Voltage: Characterizing and Mitigating Voltage Noise in MCM-GPU Architectures. Jingweijia Tan, Keyu Chen and Kaige Yan
(167) (S) IHAA: An Item-Hotness-Aware RRAM-based Accelerator for Recommendation Model. Xuan Zhang, Zhuoran Song, Xing Li, Linan Yang, Qijun Zhang, Zhezhi He, Li Jiang, Naifeng Jing and Xiaoyao Liang (307) (S) RMMIO: Enabling Reliable Memory-Mapped I/O for Persistent Memory Systems. Bo Ding, Wei Tong, Yu Hua, Zhangyu Chen, Xueliang Wei and Dan Feng
(276) (S) A Hybrid Spin-CMOS Flash ADC based on Spin Hall Effect and Spin Transfer Torque. Hamdam Ghanatian, Hooman Farkhani and Farshad Moradi (330) (S) CADedup: High-performance Consistency-aware Deduplication Based on Persistent Memory. Chunlin Song, Xianzhang Chen, Duo Liu, Xiaoliu Feng, Xi Yu, Jiali Li, Yujuan Tan and Ao Ren
12:30-13:30 Lunch Time
13:30-14:30 Session 13A: System Design
Session Chair: Vivek Mangal, WiLO Networks
13:30-14:30 Session 13B: Attacks and Defenses
Session Chair: Pedro Trancoso, Chalmers University of Technology
(154) (R) GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Networks Training. Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing and Xiaoyao Liang (169) (R) FIR Filter Architectures Using Accurate Unary Stochastic Computing. Kamyar Givaki, Ahmad Khonsari, Mohammad Hossein Gholamrezaei, Dara Rahmati and Saeid Gorgin
(172) (R) Nesting Forward Automatic Differentiation in DNN for Memory-Efficient Framework Design. Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang and Minyi Guo (146) (R) Energy-efficient Oriented Approximate Quantization Scheme for Fine-Grained Sparse Neural Network Acceleration. Tianyang Yu, Bi Wu, Ke Chen, Chenggang Yan and Weiqiang Liu
(298) (R) SOMALib : Library of Exact and Approximate Activation Functions for Hardware-efficient Neural Network Accelerators. Prashanth H C and Madhav Rao (189) (R) TizBin: A Low-Power Image Sensor with Event and Object Detection Using Efficient Processing-in-Pixel Schemes. Sepehr Tabrizchi, Shaahin Angizi and Arman Roohi
14:30-14:45 Closing Session

Selected papers will be invited for journal extension at the ACM Journal on Emerging Technologies in Computing Systems (JETC).