dblp: ISLPED 2024 (original) (raw)

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ISLPED 2024: Newport Beach, CA, USA

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  • Transformers and Natural Language Processing
  • Energy- and Carbon-Efficient Machine Learning Techniques
  • Energy-Efficient Neural Networks via Algorithm-Hardware Co-Optimization
  • Eye for the Detail: Bringing Security and Privacy to Nanoscale Systems
  • Emerging AI Accelerator Design
  • Advances in Power Modeling and Low Power Design Methods
  • Low-Power Heterogeneous Integration Platforms
  • Next Generation Memories and Wearables
  • Optimizing Data Movement in Diverse Architectures: From VLIW to Optical Baseband Processors
  • Power Management and Energy Efficiency in AI Hardware Design
  • Energy-Efficient Adaptive Internet-of-Things Systems
  • POSTER SESSION: Poster Session

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    Pascal Meinerzhagen, Kapil Dev, Jerald Yoo:
    Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2024, Newport Beach, CA, USA, August 5-7, 2024. ACM 2024, ISBN 979-8-4007-0688-2

Transformers and Natural Language Processing

Energy- and Carbon-Efficient Machine Learning Techniques

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    Shi-Zhe Lin, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo, Hsiang-Pang Li:
    LUTIN: Efficient Neural Network Inference with Table Lookup. 1-6
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    Chanwoo Cho, Yonglak Son, Seongbin Park, Young Geun Kim:
    CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients. 1-6
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    Jeffrey Chen, Sang-Woo Jun, Aditi Mundra, Jonathan Ta:
    Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond. 1-6
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    Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
    EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. 1-6

Energy-Efficient Neural Networks via Algorithm-Hardware Co-Optimization

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    Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty:
    SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. 1-6
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    Ehsan Aghapour, Yixian Shen, Dolly Sapra, Andy D. Pimentel, Anuj Pathania:
    PiQi: Partially Quantized DNN Inference on HMPSoCs. 1-6
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    Kyuseung Han, Hyunseok Kwak, Kwang-Il Oh, Sukho Lee, Hyeonguk Jang, Jae-Jin Lee, Woojoo Lee:
    STARC: Crafting Low-Power Mixed-Signal Neuromorphic Processors by Bridging SNN Frameworks and Analog Designs. 1-6
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    Hoseok Kim, Seung Hun Choi, Joonho Kong, Young-Ho Gong, Sung Woo Chung:
    Sparrow ECC: A Lightweight ECC Approach for HBM Refresh Reduction towards Energy-efficient DNN Inference. 1-6

Eye for the Detail: Bringing Security and Privacy to Nanoscale Systems

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    Jianbo Liu, Boyang Cheng, Zephan M. Enciso, Steven Davis, Ningyuan Cao:
    CIPUF: Towards On-chip Learnable Anomaly Detection with Compute-In-PUF Architecture. 1-6
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    Mehdi Kamal, Massoud Pedram:
    X-IMM: Mixed-Signal Iterative Montgomery Modular Multiplication. 1-6
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    Cheng-Yun Yang, Gowri Ramshankar, Nicholas Eliopoulos, Purvish Jajal, Sudarshan Nambiar, Evan Miller, Xun Zhang, Dave (Jing) Tian, Shuo-Han Chen, Chiy-Ferng Perng, Yung-Hsiang Lu:
    Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. 1-6

Emerging AI Accelerator Design

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    Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang:
    LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs. 1-6
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    Jeongjun Lee, Peng Li:
    Systolic Array Acceleration of Spiking Neural Networks with Application-Independent Split-Time Temporal Coding. 1-6
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    Mehran Shoushtari Moghadam, Sercan Aygun, Faeze S. Banitaba, M. Hassan Najafi:
    All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing. 1-6
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    Bokyoung Seo, Jueun Jung, Donghyeon Han, Kyuho Jason Lee:
    An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure. 1-6

Advances in Power Modeling and Low Power Design Methods

Low-Power Heterogeneous Integration Platforms

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    Anna Burdina, Gabriel Catel Torres, Pasquale Davide Schiavone, Miguel Peón-Quirós, Giovanni Ansaloni, David Atienza, Marina Zapater:
    Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. 1-6
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    Vikram Jain, Wei Tang, Zuoguo Wu, Viansa Schmulbach, Yakun Sophia Shao, Zhengya Zhang, Borivoje Nikolic:
    Design Approach for Die-to-Die Interfaces to Enable Energy-Efficient Chiplet Systems. 1-6

Next Generation Memories and Wearables

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    Honggu Kim, Yerim An, Yong Shim:
    Coupled 7T 1C SRAM based in-memory computing architecture with gain/offset error auto-compensated SAR ADC. 1-6
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    Mert Dogan, Ayse Beyhan Türkyilmaz, Yasemin Engür, Haluk Külah:
    Magnet Free Inductive Wireless Power and Data Transmission System For Fully Implantable Cochlear Implants. 1-6
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    Rakshith Saligram, Amol D. Gaidhane, Yu Kevin Cao, Suman Datta, Arijit Raychowdhury:
    Cooling the Chaos: Mitigating the Effect of Threshold Voltage Variation in Cryogenic CMOS Memories. 1-6
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    Yunho Jang, Yeseul Kim, Jongsun Park:
    STT-MRAM-based Near-Memory Computing Architecture with Read Scheme and Dataflow Co-Design for High-Throughput and Energy-Efficiency. 1-6

Optimizing Data Movement in Diverse Architectures: From VLIW to Optical Baseband Processors

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    Seunghyun Jin, Hyunwuk Lee, Won Woo Ro:
    GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs. 1-6
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    Masayuki Kimura, Ryota Shioya:
    ReOVE: Restricted Out-of-Order Execution for Superscalar Processors with Vector Extension. 1-6
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    Paul Xuanyuanliang Huang, Yannis P. Tsividis, Mingoo Seok:
    SPADES: A 0.54-GFLOPS/W Sparse Matrix Vector Multiplication Accelerator Featuring On-the-Fly GZIP Decompression for 3.36X Reduction in Off-Chip Data Movement. 1-6
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    Seungkyu Choi, Huanshihong Deng, Kuan-Yu Chen, Yufan Yue, David T. Blaauw, Hun-Seok Kim:
    ParaBase: A Configurable Parallel Baseband Processor for Ultra-High-Speed Inter-Satellite Optical Communications. 1-6
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    Jae-Youn Hong, Sungkyu Kim, Je-Woo Jang, Joon-Sung Yang:
    LOCo: LPDDR Optimization with Compression and IECC scheme for DNN Inference. 1-6

Power Management and Energy Efficiency in AI Hardware Design

Energy-Efficient Adaptive Internet-of-Things Systems

POSTER SESSION: Poster Session

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    Nirmoy Modak, Kaushik Roy:
    Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection. 1-6
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    George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya, Dongseok Kwon, Dmitri B. Strukov:
    FPIA: Field-Programmable Ising Arrays with In-Memory Computing. 1-6
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    Laith A. Shamieh, Wei-Chun Wang, Shida Zhang, Rakshith Saligram, Amol D. Gaidhane, Yu Cao, Arijit Raychowdhury, Suman Datta, Saibal Mukhopadhyay:
    Cryogenic Operation of Computing-In-Memory based Spiking Neural Network. 1-6
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    Jihoon Jang, Hyokeun Lee, Hyun Kim:
    EDeN: Enabling Low-Power CNN Inference on Edge Devices Using Prefetcher-assisted NVM Systems. 1-6
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    Caroline Ellis Hammond, Patricia Gonzalez-Guerrero, Meriam Gay Bautista, Nirmalendu Bikash Patra:
    Triangle Counting in the Temporal Domain. 1-6
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    Vikram Gopalakrishnan, Bing-Yue Wu, Vidya Ashok Chhabria:
    ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. 1-6
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    Abir Ahsan Akib, Ankur Srivastava:
    HQ-DTM: A Hierarchical Q-learning Algorithm for Dynamic Thermal Management of Multi-core Processors. 1-6
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    Yaswanth Kumar Cherivirala, David D. Wentzloff:
    A Technology-Agnostic Method for Digital LDO Synthesis and Layout Automation. 1-6
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    Aditya Ukarande, Toygun Basaklar, Mingcong Cao, Ümit Y. Ogras:
    PACT: Accurate Power Analysis and Carbon Emission Tracking for Sustainability. 1-6
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    Praveen Nagil, Sumit K. Mandal:
    DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals. 1-6
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    Ping-Han Chou, Shih-En Wei, Chun-Han Lin:
    Content-based Power-saving Design for Augmented Reality Applications on Mobile Devices. 1-6
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    Hossein Taji, José Miranda, Miguel Peón-Quirós, David Atienza:
    Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables. 1-6
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    Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli:
    VisionHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. 1-6
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    Seung Hun Choi, Joonho Kong, Sung Woo Chung:
    ComBoost: An Instruction Complexity Aware DTM Technique for Edge Devices. 1-6
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    Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks:
    JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. 1-6
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    Pratyush Dhingra, Jana Doppa, Partha Pratim Pande:
    HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration. 1-6
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    Chang Eun Song, Ashkan Moradifirouzabadi, Tajana Rosing, Mingu Kang:
    Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping. 1-6
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    Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay:
    Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models. 1-6
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    Gopikrishnan Raveendran Nair, Fengyang Jiang, Jeff Zhang, Yu Cao:
    A 16nm Heterogeneous Accelerator for Energy-Efficient Sparse and Dense AI Computing. 1-6
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    Long Lam, Maksym Melnyk, Michael Zuzak:
    Low Overhead Logic Locking for System-Level Security: A Design Space Modeling Approach. 1-6
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    Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang:
    OFHE: An Electro-Optical Accelerator for Discretized TFHE. 1-6

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