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Publication search results
found 55 matches
- 2023
- Haodong Lu, Qichang Mei, Kun Wang:
An Efficient Piecewise Linear Approximation of Non-linear Operations for Transformer Inference. FCCM 2023: 206 - José Oliver, Carlos Álvarez, Teresa Cervero, Xavier Martorell, John D. Davis, Eduard Ayguadé:
b8c: SpMV accelerator implementation leveraging high memory bandwidth. FCCM 2023: 216 - 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: 94-104 - 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: 210 - Yueyin Bai, Hao Zhou, Keqing Zhao, Jianli Chen, Jun Yu, Kun Wang:
Transformer-OPU: An FPGA-based Overlay Processor for Transformer Networks. FCCM 2023: 221 - Sige Bian, He Li, Chengcheng Wang, Changjun Song, Yongming Tang:
MSBF-LSTM: Most-significant Bit-first LSTM Accelerators with Energy Efficiency Optimisations. FCCM 2023: 218 - James Bickerstaff, Luke Kljucaric, Alan D. George:
Accelerating Graph Analytics with oneAPI and Intel FPGAs. FCCM 2023: 214 - Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides:
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. FCCM 2023: 121-132 - Yuzong Chen, Mohamed S. Abdelfattah:
BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs. FCCM 2023: 52-62 - Hanqiu Chen, Cong Hao:
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference. FCCM 2023: 195-201 - Hanqiu Chen, Cong Hao:
Hardware/Software Co-design for Machine Learning Accelerators. FCCM 2023: 233-235 - Thiem Van Chu, Yu Mizutani, Yuta Nagahara, Shungo Kumazawa, Kazushi Kawamura, Jaehoon Yu, Masato Motomura:
Decision Forest Training Accelerator Based on Binary Feature Decomposition. FCCM 2023: 215 - Yuan Dai, Yunhui Qiu, Qilong Zhu, Jingyuan Li, Wenbo Yin, Lingli Wang:
UPTRA: An Ultra-Parameterized Temporal CGRA Modeling and Optimization. FCCM 2023: 208 - 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: 83-93 - 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: 212 - 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: 213 - Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin:
OCMGen: Extended Design Space Exploration with Efficient FPGA Memory Inference. FCCM 2023: 225 - Andrew David Gunter, Steven J. E. Wilton:
A Machine Learning Approach for Predicting the Difficulty of FPGA Routing Problems. FCCM 2023: 63-74 - Andrew David Gunter, Steve Wilton:
Reformulating the FPGA Routability Prediction Problem with Machine Learning. FCCM 2023: 230-232 - 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: 34-40 - Thijs Havinga, Xianjun Jiao, Wei Liu, Ingrid Moerman:
Accelerating FPGA-Based Wi-Fi Transceiver Design and Prototyping by High-Level Synthesis. FCCM 2023: 219 - Pengzhou He, Tianyou Bao, Yazheng Tu, Jiafeng Xie:
Efficient Implementation of Ring-Binary-LWE-based Lightweight PQC Accelerator on the FPGA Platform. FCCM 2023: 114-120 - 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: 205 - 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: 155-161 - Veronia Iskandar, Mohamed A. Abd El Ghany, Diana Goehringer:
Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms. FCCM 2023: 222 - 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: 133-143 - 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: 224 - Christian Maximilian Karle, Marc Neu, Johannes Pfau, Jan Sperling, Jürgen Becker:
ReLoDAQ: Resource-Efficient, Low-Overhead 200 Gbits-1 Data Acquisition System for 6G Prototyping. FCCM 2023: 209 - Chris Keilbart, Yuhui Gao, Martin Chua, Eric Matthews, Steven J. E. Wilton, Lesley Shannon:
Designing a configurable IEEE-compliant FPU that supports variable precision for soft processors. FCCM 2023: 202 - Alireza Khataei, Gaurav Singh, Kia Bazargan:
Optimizing Hybrid Binary-Unary Hardware Accelerators Using Self-Similarity Measures. FCCM 2023: 105-113
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