CODES+ISSS - researchr conference series publications

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2025

International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2025, Taipei, Taiwan, September 28 - Oct. 3, 2025IEEE, 2025. [doi]

Work-in-Progress: Extending a RISC-V Core with Sub-FP8 Support for Machine LearningKathryn Chapman, Fu-Jian Shen, Jhih-Kuan Lin, Jenq Kuen Lee. codesisss 2025: 15-16 [doi]

Tutorial: CEDR: A Holistic Software and Hardware Design Environment for Hardware Agnostic Application Development and Deployment on FPGA-Integrated Heterogeneous SystemsSerhan Gener, Md Sahil Hassan, Ali Akoglu. codesisss 2025: 1-2 [doi]

SIMD-CP: SIMD with Redundant Bits Compression and Mixed-Precision Packing for Quantized DNNsHayata Kaneko, Lin Meng. codesisss 2025: 1-2 [doi]

Practicalizing Tree-Based Model Acceleration with CAM through Model Pruning and Data Placement OptimizationYi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang 0001, Camélia Slimani, Jalil Boukhobza, Tei-Wei Kuo. codesisss 2025: 1-2 [doi]

Dual-Mode Rounding Algorithms and Hardware for Posit-based DNN Training: The Future of Mixed Precision FrameworksVishesh Mishra, Mahndera Rathor, Urbi Chatterjee. codesisss 2025: 13-14 [doi]

CAHLS: Source-to-Source Transformation to Generate Cycle Accurate Models for High-Level SynthesisYuhan She, Yanlong Huang, Jierui Liu, Ray C. C. Cheung, Hong Yan 0001. codesisss 2025: 1-2 [doi]

Softtide: a deterministic middleware for real-time systemsJiajie Wang, Saumya Shankar, Partha S. Roop. codesisss 2025: 17-18 [doi]

2024

International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2024, Raleigh, NC, USA, September 29 - Oct. 4, 2024IEEE, 2024. [doi]

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving ApplicationsHamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt. codesisss 2024: 6 [doi]

Tutorial: Large-Scale Spiking Neuromorphic Architecture Exploration using SANA-FEJames A. Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer. codesisss 2024: 1-2 [doi]

Special Session: Emerging Architecture Design, Control, and Security Challenges in Software Defined VehiclesAya El-Fatyany, Xiaohang Wang, Parasara Sridhar Duggirala, Samarjit Chakraborty, Sudeep Pasricha, Amit Kumar Singh. codesisss 2024: 27-36 [doi]

Special Session: End-To-End Carbon Footprint Assessment and Modeling of Deep LearningAhmad Faiz, Lei Jiang 0001, Fan Chen 0001. codesisss 2024: 7-10 [doi]

Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric PerspectiveMohamed Ibrahim, Zishen Wan, Haitong Li, Priyadarshini Panda, Tushar Krishna, Pentti Kanerva, Yiran Chen, Arijit Raychowdhury. codesisss 2024: 11-20 [doi]

Special Session: Estimation and Optimization of DNNs for Embedded PlatformsAxel Jantsch, Song Han 0003, Lin Meng, Oliver Bringmann 0001, Haotian Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner. codesisss 2024: 21-30 [doi]

Work-in-Progress: Worst-Case Execution-Time Measurement Techniques for Nonlinear Model Predictive ControllersRamesh Krishnamurthy, Guillermo A. Pérez 0001, Joachim Denil, Ward Goossens. codesisss 2024: 5 [doi]

AI-Driven Indoor Navigation with Mobile Embedded SystemsSudeep Pasricha. codesisss 2024: 43-44 [doi]

Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory AcceleratorsYifan Qin, Zheyu Yan, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi 0001. codesisss 2024: 37-40 [doi]

MLSysBook.AI: Principles and Practices of Machine Learning Systems EngineeringVijay Janapa Reddi. codesisss 2024: 41-42 [doi]

Reducing Smart Phone Environmental Footprints with In-Memory ProcessingZhuoping Yang, Wei Zhang 0021, Shixin Ji, Peipei Zhou 0001, Alex K. Jones. codesisss 2024: 49-52 [doi]

Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing SystemsYi-sheng, Junhuan Yang, Hanchen Wang 0003, Yinan Feng, Yinpeng Chen, Xiaolong Guo, Youzuo Lin, Weiwen Jiang, Lei Yang 0018. codesisss 2024: 3-4 [doi]

2023

International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2023, Hamburg, Germany, September 17-22, 2023IEEE, 2023. [doi]

Special Session: Machine Learning for Embedded System DesignErika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu. codesisss 2023: 28-37 [doi]

Work-in-Progress: A Generic Non-Intrusive Parallelization Approach for SystemC TlM-2.0-Based Virtual PlatformsNils Bosbach, Rebecca Pelke, Niko Zurstraßen, Lukas Jünger 0001, Jan Henrik Weinstock, Rainer Leupers. codesisss 2023: 42-43 [doi]

Tutorial: MARS: A Framework for Runtime Monitoring, Modeling, and Management of Realtime SystemsBryan Donyanavard, Nikil D. Dutt, Biswadip Maity, Parth Malani, Tiago Mück. codesisss 2023: 3-4 [doi]

Message from the Program ChairMohammad Abdullah Al Faruque, Muhammad Shafique 0001. codesisss 2023: [doi]

Tutorial: The Synergy of Hyperdimensional and In-Memory ComputingPaul R. Genssler, Simon Thomann, Hussam Amrouch. codesisss 2023: 5-6 [doi]

Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer ApproachesNima Kavand, Armin Darjani, Jens Trommer, Giulio Galderisi, Thomas Mikolajick, Nicolai Müller, Amir Moradi 0001, Chongzhou Fang, Ning Miao, Han Wang, Sai Manoj P. D., Houman Homayoun, Benjamin Hettwer, Luca Parrini, Akash Kumar 0001. codesisss 2023: 8-17 [doi]

Work-in-Progress: NAPMAE: Generalized Data-Efficient Neural Architecture Predictor with Masked AutoencoderQiaochu Liang, Lei Gong, Chao Wang, Xuehai Zhou, Xi Li 0003. codesisss 2023: 48-49 [doi]

Efficient Gait Trajectory Prediction Method Based on Soft Constraint Weighted Template Matching:Work-in-ProgressXing Liu, Yifan Liu 0016, Xingjun Wang. codesisss 2023: 46-47 [doi]

Tutorial: Introduction to the AMD Versal ACAP Adaptable Intelligent Engine and to its Programming ModelMario Daniel Ruiz Noguera, Cathal McCabe. codesisss 2023: 7 [doi]

Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing SystemsXavier Ouvrard, Miguel Peón Quirós, David Atienza. codesisss 2023: 24-27 [doi]

Education Abstract: Thermal Challenges and Mitigation in 3D DRAMPreeti Ranjan Panda, Shailja Pandey. codesisss 2023: 40-41 [doi]

Education Abstract: Optical Computing for AI AccelerationSudeep Pasricha. codesisss 2023: 38-39 [doi]

Special Session: Digital Technologies for Sustainability - Research Challenges and OpportunitiesPaul Pop, Christian Graulund, Sonia Yeh, Martin Törngren. codesisss 2023: 18-23 [doi]

Tutorial: How to Use Model Checking to Analyze Circuits at the Transistor LevelMichael Raitza, Steffen Märcker. codesisss 2023: 1-2 [doi]

Work-in-Progress: A Universal Instrumentation Platform for Non-Volatile MemoriesFelix Staudigl, Mohammed Hossein, Tobias Ziegler 0005, Hazem Al Indari, Rebecca Pelke, Sebastian Siegel, Dirk J. Wouters, Dominik Sisejkovic, Jan Moritz Joseph, Rainer Leupers. codesisss 2023: 44-45 [doi]

2022

International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2022, Shanghai, China, October 7-14, 2022IEEE, 2022. [doi]

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AIHussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza E. Barkam, Paul R. Genssler, Peter Sutor Jr.. codesisss 2022: 25-34 [doi]

Work-in-Progress: High-Performance Systolic Hardware Accelerator for RBLWE-based Post-Quantum CryptographyTianyou Bao, José Luis Imaña, Pengzhou He, Jiafeng Xie. codesisss 2022: 5-6 [doi]

Industry Paper: Surrogate Models for Testing Analog Designs under Limited Budget - a Bandgap Case StudyRoderick Bloem, Alberto Larrauri, Roland Lengfeldner, Cristinel Mateis, Dejan Nickovic, Björn Ziegler. codesisss 2022: 21-24 [doi]

Work-in-Progress: Utilizing latency and accuracy predictors for efficient hardware-aware NASNegin Firouzian, Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer. codesisss 2022: 15-16 [doi]

Work-in-Progress: HeteroRW: A Generalized and Efficient Framework for Random Walks in Graph AnalysisYingxue Gao, Lei Gong, Chao Wang 0003, Xuehai Zhou. codesisss 2022: 9-10 [doi]

Work-in-Progress: Scheduler for Collaborated FPGA-GPU-CPU Based on Intermediate LanguageNan Hu, Chao Wang, Xuehai Zhou, Xi Li. codesisss 2022: 3-4 [doi]

Work-in-Progress: Toward Energy-efficient Near STT-MRAM Processing Architecture for Neural NetworksYueting Li, Bingluo Zhao, Xinyi Xu, Yundong Zhang, Jun Wang, Weisheng Zhao. codesisss 2022: 13-14 [doi]

Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture SearchXiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu. codesisss 2022: 1-2 [doi]

Work-in-Progress: BloCirNN: An Efficient Software/hardware Codesign Approach for Neural Network Accelerators with Block-Circulant MatrixYunji Qin, Lei Gong, Zhendong Zheng, Chao Wang 0003. codesisss 2022: 7-8 [doi]

Industry-track: Towards Agile Design of Neural Processing UnitBinyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr 0001. codesisss 2022: 17-20 [doi]

Work-in-Progress: Lark: A Learned Secondary Index Toward LSM-tree for Resource-Constrained Embedded Storage SystemsJianan Yuan, Huan Liu, Shangyu Wu, Yiquan Lin, Tiantian Wang, Chenlin Ma, Rui Mao 0001, Yi Wang 0003. codesisss 2022: 11-12 [doi]

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