Title
HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases Pingqing Zheng Jiayin Qin Fuqi Zhang Shang Wu Yu Cao Caiwen Ding Yang Zhao 12 0 0 21 May 2025
CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs Tianhao Cai Liang Wang Limin Xiao Meng Han Zeyu Wang Lin Sun Xiaojian Liao 36 0 0 10 May 2025
TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator Deepak Vungarala Mohammed E. Elbtity Sumiya Syed Sakila Alam Kartik Pandit Arnob Ghosh Ramtin Zand Shaahin Angizi 41 1 0 07 Mar 2025
FORTALESA: Fault-Tolerant Reconfigurable Systolic Array for DNN Inference N. Cherezova Artur Jutman M. Jenihhin 75 0 0 06 Mar 2025
Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs Zhantong Zhu Hongou Li Wenjie Ren Meng Wu Le Ye Ru Huang Tianyu Jia 48 0 0 01 Mar 2025
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator Guoyu Li Shengyu Ye Chong Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Mao Yang MQ 199 0 0 18 Jan 2025
MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices Mohamed Amine Hamdi Francesco Daghero G. M. Sarda Josse Van Delm Arne Symons Luca Benini Marian Verhelst Daniele Jahier Pagliari Luca Bompani 29 2 0 11 Oct 2024
HAPM -- Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices Federico Nicolás Peccia Luciano Ferreyro Alejandro Furfaro 20 0 0 26 Aug 2024
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator Federico Nicolás Peccia Svetlana Pavlitska Tobias Fleck Oliver Bringmann 30 0 0 14 Aug 2024
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale Jaehong Cho Minsu Kim Hyunmin Choi Guseul Heo Jongse Park 49 9 0 10 Aug 2024
LLM-Aided Compilation for Tensor Accelerators Charles Hong Sahil Bhatia Altan Haan Shengjun Kris Dong Dima Nikiforov Alvin Cheung Y. Shao 37 0 0 06 Aug 2024
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms Josse Van Delm Maarten Vandersteegen Luca Bompani G. M. Sarda Francesco Conti Daniele Jahier Pagliari Luca Benini Marian Verhelst 38 7 0 11 Jun 2024
Iterative Filter Pruning for Concatenation-based CNN Architectures Svetlana Pavlitska Oliver Bagge Federico Nicolás Peccia Toghrul Mammadov J. Marius Zöllner VLM 3DPC 48 2 0 04 May 2024
Allo: A Programming Model for Composable Accelerator Design Hongzheng Chen Niansong Zhang Shaojie Xiang Zhichen Zeng Mengjia Dai Zhiru Zhang 56 14 0 07 Apr 2024
Data-Oblivious ML Accelerators using Hardware Security Extensions Hossam ElAtali John Z. Jekel Lachlan J. Gunn N. Asokan 19 0 0 29 Jan 2024
DEAP: Design Space Exploration for DNN Accelerator Parallelism Ekansh Agrawal Xiangyu Sam Xu 31 1 0 24 Dec 2023
A Hardware Evaluation Framework for Large Language Model Inference Hengrui Zhang August Ning R. Prabhakar D. Wentzlaff ELM 35 17 0 05 Dec 2023
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures Serena Curzel Fabrizio Ferrandi Leandro Fiorin Daniele Ielmini Cristina Silvano ... Enrico Russo Valeria Cardellini Salvatore Filippone Francesco Lo Presti Stefania Perri 36 4 0 29 Nov 2023
Tackling the Matrix Multiplication Micro-kernel Generation with Exo Adrián Castelló Julian Bellavita Grace Dinh Yuka Ikarashi Héctor J. Martínez 8 4 0 26 Oct 2023
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators H. Esmaeilzadeh Soroush Ghodrati A. Kahng Joo-Young Kim Sean Kinzer ... R. Mahapatra Susmita Dey Manasi S. Sapatnekar Zhiang Wang Ziqing Zeng 27 4 0 23 Aug 2023
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations H. Esmaeilzadeh Soroush Ghodrati A. Kahng Sean Kinzer Susmita Dey Manasi S. Sapatnekar Zhiang Wang 27 1 0 29 Jun 2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers Yonghong Tian Wenqi Shao Peng Xu Mingbao Lin Kaipeng Zhang Rongrong Ji Rongrong Ji Yu Qiao Ping Luo ViT 49 44 0 29 May 2023
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks Seah Kim Hasan Genç Vadim Nikiforov Krste Asanović B. Nikolić Y. Shao 27 20 0 10 May 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 41 102 0 27 Feb 2023
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework Federico Nicolás Peccia Oliver Bringmann 19 5 0 06 Dec 2022
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration A. Inci Siri Garudanagiri Virupaksha Aman Jain Ting-Wu Chin Venkata Vivek Thallam Ruizhou Ding Diana Marculescu MQ 23 3 0 30 Jun 2022
Machine Learning Sensors Pete Warden Matthew P. Stewart Brian Plancher Colby R. Banbury Shvetank Prakash Emma Chen Zain Asgar Sachin Katti Vijay Janapa Reddi 47 12 0 07 Jun 2022
Communication Bounds for Convolutional Neural Networks An Chen J. Demmel Grace Dinh Mason Haberle Olga Holtz 9 4 0 18 Apr 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs Miryeong Kwon Donghyun Gouk Sangwon Lee Myoungsoo Jung GNN 21 26 0 23 Jan 2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs Shvetank Prakash Tim Callahan Joseph R. Bushagour Colby R. Banbury Alan V. Green Pete Warden Tim Ansell Vijay Janapa Reddi 43 31 0 05 Jan 2022
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication Linghao Song Yuze Chi Atefeh Sohrabizadeh Young-kyu Choi Jason Lau Jason Cong GNN 16 60 0 22 Sep 2021
A Survey on Domain-Specific Memory Architectures Stephanie Soldavini C. Pilato 13 3 0 19 Aug 2021
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Sudipta Mondal Susmita Dey Manasi K. Kunal S. Ramprasath S. Sapatnekar GNN 6 15 0 21 May 2021