FCCM

Keyphrases

Publications

2023

Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So
MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. FCCM (2023)
Hanqiu Chen, Cong Hao
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference. FCCM (2023)
Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, Hayden Kwok-Hay So
Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-Integer Geometric Programming. FCCM (2023)
Chenjiu Wang, Ke He, Ruiqi Fan, Xiaonan Wang, Wei Wang, Qinfen Hao
CXL over Ethernet: A Novel FPGA-based Memory Disaggregation Design in Data Centers. FCCM (2023)
Xin Wu, Tobias Kenter, Robert Schade, Thomas D. Kühne, Christian Plessl
Computing and Compressing Electron Repulsion Integrals on FPGAs. FCCM (2023)
Maximilian Jakob Heer, José Quevedo, Marwan F. Abdelatti, Resit Sendag, Manbir Sodhi
Efficient Implementation of a Genetic Algorithm for the Capacitated Vehicle Routing Problem on a High-Performance FPGA. FCCM (2023)
Namitha Liyanage, Yue Wu, Alexander Deters, Lin Zhong
Scalable Quantum Error Correction for Surface Codes using FPGA. FCCM (2023)
Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz
Placement Optimization for NoC-Enhanced FPGAs. FCCM (2023)
Thijs Havinga, Xianjun Jiao, Wei Liu, Ingrid Moerman
Accelerating FPGA-Based Wi-Fi Transceiver Design and Prototyping by High-Level Synthesis. FCCM (2023)
Lukas Huegle, Martin Gotthard, Vincent Meyers, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori
Power2Picture: Using Generative CNNs for Input Recovery of Neural Network Accelerators through Power Side-Channels on FPGAs. FCCM (2023)
James Bickerstaff, Luke Kljucaric, Alan D. George
Accelerating Graph Analytics with oneAPI and Intel FPGAs. FCCM (2023)
Wenbin Teng, Lei Gong, Chao Wang, Xuehai Zhou
Enabling Elastic Resource Management in Cloud FPGAs via A Multi-layer Collaborative Approach. FCCM (2023)
Pengzhou He, Tianyou Bao, Yazheng Tu, Jiafeng Xie
Efficient Implementation of Ring-Binary-LWE-based Lightweight PQC Accelerator on the FPGA Platform. FCCM (2023)
Andrew David Gunter, Steven J. E. Wilton
A Machine Learning Approach for Predicting the Difficulty of FPGA Routing Problems. FCCM (2023)
Antonio Filgueras, Miquel Vidal, Daniel Jiménez-González, Carlos Álvarez, Xavier Martorell
Improving Performance of HPC Kernels on FPGAs Using High-Level Resource Management. FCCM (2023)
Vincent Meyers, Mehdi B. Tahoori
Power Side-Channel Attacks and Defenses for Neural Network Accelerators. FCCM (2023)
Anna Drewes, Vitalii Burtsev, Bala Gurumurthy, Martin Wilhelm, David Broneske, Gunter Saake, Thilo Pionteck
A Flexible and Scalable Reconfigurable FPGA Overlay Architecture for Data-Flow Processing. FCCM (2023)
M. D. Arafat Kabir, Joshua Hollis, Atiyehsadat Panahi, Jason D. Bakos, Miaoqing Huang, David Andrews
Making BRAMs Compute: Creating Scalable Computational Memory Fabric Overlays. FCCM (2023)
Sige Bian, He Li, Chengcheng Wang, Changjun Song, Yongming Tang
MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations. FCCM (2023)
Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. FCCM (2023)
Yi-Chien Lin, Viktor K. Prasanna
A Framework for Graph Machine Learning on Heterogeneous Architecture. FCCM (2023)
Yuzong Chen, Mohamed S. Abdelfattah
BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs. FCCM (2023)
Yueyin Bai, Hao Zhou, Keqing Zhao, Jianli Chen, Jun Yu, Kun Wang
Transformer-OPU: An FPGA-based Overlay Processor for Transformer Networks. FCCM (2023)
Alec Lu, Zhenman Fang
SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. FCCM (2023)
Zheyuan Zou, Lei Gong, Chao Wang, Xuehai Zhou
DataMaster: A GNN-based Data Type Optimizer for Dataflow Design in FPGA. FCCM (2023)
Rishov Sarkar, Cong Hao
LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. FCCM (2023)
Zhuanhao Wu, Maya B. Gokhale, Scott Lloyd, Hiren D. Patel
SCCL: An open-source SystemC to RTL translator. FCCM (2023)
Fumiya Kono, Naohito Nakasato, Maho Nakata
Accelerating 128-bit Floating-Point Matrix Multiplication on FPGAs. FCCM (2023)
Andrew David Gunter, Steve Wilton
Reformulating the FPGA Routability Prediction Problem with Machine Learning. FCCM (2023)
Yuying Zhang, Sathi Sarveswara Reddy, Zili Kou, Sharad Sinha, Wei Zhang
Tensor-Product-Based Accelerator for Area-efficient and Scalable Number Theoretic Transform. FCCM (2023)
31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, Marina Del Rey, CA, USA, May 8-11, 2023 FCCM (2023)
Christian Maximilian Karle, Marc Neu, Johannes Pfau, Jan Sperling, Jürgen Becker
Data Acquisition System for 6G Prototyping. FCCM (2023)
Haodong Lu, Qichang Mei, Kun Wang
An Efficient Piecewise Linear Approximation of Non-linear Operations for Transformer Inference. FCCM (2023)
Luke Kljucaric, Alan D. George
Clustering Classification on FPGAs for Neuromorphic Feature Extraction. FCCM (2023)
Moazin Khatti, Xingyu Tian, Yuze Chi, Licheng Guo, Jason Cong, Zhenman Fang
PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs. FCCM (2023)
Zainab Aizaz, Kavita Khare, Aizaz Tirmizi
FASBM: FPGA-specific Approximate Sum-based Booth multipliers for energy efficient Hardware Acceleration of Image Processing and Machine Learning Applications. FCCM (2023)
Yuanfang Wang, Yu Li, Haoyang Zhang, Jun Yu, Kun Wang
Moth: A Hardware Accelerator for Neural Radiance Field Inference on FPGA. FCCM (2023)
Robert Szafarczyk, Syed Waqar Nabi, Wim Vanderbauwhede
Dynamically Scheduled Memory Operations in Static High-Level Synthesis. FCCM (2023)
Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin
OCMGen: Extended Design Space Exploration with Efficient FPGA Memory Inference. FCCM (2023)
Alireza Khataei, Gaurav Singh, Kia Bazargan
Optimizing Hybrid Binary-Unary Hardware Accelerators Using Self-Similarity Measures. FCCM (2023)
Debjit Pal
FCCM 2023 PhD Student Forum Compendium of Abstracts: Held on 9th May, 2023, at Los Angeles, USA. FCCM (2023)
Geng Yang, Jie Lei, Zhenman Fang, Yunsong Li, Jiaqing Zhang, Weiying Xie
HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks. FCCM (2023)
Yuan Dai, Yunhui Qiu, Qilong Zhu, Jingyuan Li, Wenbo Yin, Lingli Wang
UPTRA: An Ultra-Parameterized Temporal CGRA Modeling and Optimization. FCCM (2023)
Bingbing Peng, Shaoyang Sun, Yuan Dai, Jingyuan Li, Yunhui Qiu, Kaihang Wang, Wenbo Yin, Lingli Wang
PRAD: A Bayesian Optimization-based DSE Framework for Parameterized Reconfigurable Architecture Design. FCCM (2023)
Hanqiu Chen, Cong Hao
Hardware/Software Co-design for Machine Learning Accelerators. FCCM (2023)
Rishov Sarkar, Cong Hao
From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis. FCCM (2023)
Xiaochen Hao, Mingzhe Zhang, Ce Sun, Zhuofu Tao, Hongbo Rong, Yu Zhang, Lei He, Eric Petit, Wenguang Chen, Yun Liang
Lasa: Abstraction and Specialization for Productive and Performant Linear Algebra on FPGAs. FCCM (2023)
Abhishek Kumar Jain, Chirag Ravishankar, Hossein Omidian, Sharan Kumar, Maithilee Kulkarni, Aashish Tripathi, Dinesh Gaitonde
Modular and Lean Architecture with Elasticity for Sparse Matrix Vector Multiplication on FPGAs. FCCM (2023)
Prithviraj Yuvaraj, Amin Akalantar, Eamonn J. Keogh, Philip Brisk
Feature Extraction Accelerator for Streaming Time Series. FCCM (2023)
Gong-Lang Zhou, Kaiyuan Guo, Xiang Chen, Kwok Wa Leung
SpCNA: An FPGA-based Accelerator for Point Cloud Convolutional Neural Networks. FCCM (2023)