Hamamu: Specializing FPGAs for ML Applications by Adding Hard Matrix Multiplier Blocks. - Aman Arora 001; Zhigang Wei; Lizy K. John (ASAP, 2020)

Design Space Exploration for Softmax Implementations. - Zhigang Wei; Aman Arora 001; Pragenesh Patel; Lizy Kurian John (ASAP, 2020)

The Case for Hard Matrix Multiplier Blocks in an FPGA. - Aman Arora 001; Zhigang Wei; Lizy K. John (FPGA, 2020)

Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. - Aman Arora 001; Bagus Hanindhito; Lizy K. John (ACSCC, 2021)

Tensor Slices to the Rescue: Supercharging ML Acceleration on FPGAs. - Aman Arora 001; Samidh Mehta; Vaughn Betz; Lizy K. John (FPGA, 2021)

Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. - Aman Arora 001; Andrew Boutros; Daniel Rauch; Aishwarya Rajen; Aatman Borda; Seyed Alireza Damghani; Samidh Mehta; Sangram Kate; Pragnesh Patel; Kenneth B. Kent; Vaughn Betz; Lizy K. John (FPL, 2021)

Weightless Neural Networks for Efficient Edge Inference. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (PACT, 2022)

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Diego Leonel Cadette Dutra; Leandro Santiago de Araújo; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John; Maurício Breternitz (ASAP, 2022)

Pruning Weightless Neural Networks. - Zachary Susskind; Alan T. L. Bacellar; Aman Arora 001; Luis A. Q. Villon; Renan Mendanha; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Igor D. S. Miranda; Maurício Breternitz Jr.; Lizy K. John (ESANN, 2022)

CoMeFa: Compute-in-Memory Blocks for FPGAs. - Aman Arora 001; Tanmay Anand; Aatman Borda; Rishabh Sehgal; Bagus Hanindhito; Jaydeep Kulkarni; Lizy K. John (FCCM, 2022)

MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. - Aman Arora 001; Aatman Borda; Tanmay Anand; Bagus Hanindhito; Lizy K. John (FPGA, 2022)

Hardware-aware 3D Model Workload Selection and Characterization for Graphics and ML Applications. - Ruihao Li 002; Aman Arora 001; Sikan Li; Qinzhe Wu; Lizy K. John (ISQED, 2022)

LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. - Pragnesh Patel; Aman Arora 001; Earl E. Swartzlander Jr.; Lizy K. John (ISQED, 2022)

Tensor Slices: FPGA Building Blocks For The Deep Learning Era. - Aman Arora 001; Moinak Ghosh; Samidh Mehta; Vaughn Betz; Lizy K. John (ACM Trans. Reconfigurable Technol. Syst., 2022)

COIN: Combinational Intelligent Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Josias S. A. Souza; Mugdha P. Jadhao; Luis A. Q. Villon; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ASAP, 2023)

HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. - Zhigang Wei; Aman Arora 001; Ruihao Li 002; Lizy K. John (ASAP, 2023)

Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion. - Zhengrong Wang; Christopher Liu; Aman Arora 001; Lizy Kurian John; Tony Nowatzki (ASPLOS (3), 2023)

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. - Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego Leonel Cadette Dutra; Igor D. S. Miranda; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (FPGA, 2023)

MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. - Endri Taka; Aman Arora 001; Kai-Chiang Wu; Diana Marculescu (ICFPT, 2023)

HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. - Zhigang Wei; Aman Arora 001; Lizy K. John (CoRR, 2023)

PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. - Aman Arora 001; Jian Weng 002; Siyuan Ma; Tony Nowatzki; Lizy K. John (CoRR, 2023)

CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. - Aman Arora 001; Atharva Bhamburkar; Aatman Borda; Tanmay Anand; Rishabh Sehgal; Bagus Hanindhito; Pierre-Emmanuel Gaillardon; Jaydeep Kulkarni; Lizy K. John (ACM Trans. Reconfigurable Technol. Syst., 2023)

Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. - Aman Arora 001; Andrew Boutros; Seyed Alireza Damghani; Karan Mathur; Vedant Mohanty; Tanmay Anand; Mohamed A. Elgammal; Kenneth B. Kent; Vaughn Betz; Lizy K. John (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Alan T. L. Bacellar; Luis A. Q. Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ACM Trans. Archit. Code Optim., 2023)

GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. - Chetan Choppali Sudarshan; Aman Arora 001; Vidya A. Chhabria (DAC, 2024)

Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. - Endri Taka; Dimitrios Gourounas; Andreas Gerstlauer; Diana Marculescu; Aman Arora 001 (FCCM, 2024)

Cross-FPGA Power Estimation from High Level Synthesis via Transfer-Learning. - Zhigang Wei; Aman Arora 001; Emily Shriver; Lizy Kurian John (FPGA, 2024)

Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports. - Chetan Choppali Sudarshan; Aman Arora 001; Vidya A. Chhabria (IGSC, 2024)

HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. - Stefan Abi-Karam; Rishov Sarkar; Allison Seigler; Sean Lowe; Zhigang Wei; Hanqiu Chen; Nanditha Rao; Lizy Kurian John; Aman Arora 001; Cong Hao (MLCAD, 2024)

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. - Shashank Nag; Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego L. C. Dutra; Igor D. S. Miranda; Krishnan Kailas; Eugene B. John; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (MWSCAS, 2024)

Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions. - Andrew Boutros; Aman Arora 001; Vaughn Betz (CoRR, 2024)

PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. - Siyuan Ma; Kaustubh Manohar Mhatre; Jian Weng 002; Bagus Hanindhito; Zhengrong Wang; Tony Nowatzki; Lizy K. John; Aman Arora 001 (ACM Trans. Archit. Code Optim., 2024)

Out-of-the-Box Performance of FPGAs for ML Workloads Using Vitis AI. - Deepak Kumar Athur; Rutuparn Pawar; Aman Arora 001 (ARC, 2025)

Compute-In-Memory on FPGAs for Deep Learning: A Review. - Aman Arora 001 (FCCM, 2025)

Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Xia Sheng; Giacomo Pedretti; Aman Arora 001; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FCCM, 2025)

High Throughput Low Latency Network Intrusion Detection on FPGAs: A Raw Packet Approach. - Muhammad Ali Farooq; Abid Rafique; Suhaib A. Fahmy; Aman Arora 001 (FPGA, 2025)

Performance Analysis of GEMM Workloads on the AMD Versal Platform. - Kaustubh Manohar Mhatre; Venkata Guru Prasanth Mulleti; Curt John Bansil; Endri Taka; Aman Arora 001 (FPGA, 2025)

Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. - Endri Taka; Ning-Chi Huang; Chi-Chih Chang; Kai-Chiang Wu; Aman Arora 001; Diana Marculescu (FPGA, 2025)

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. - Jiajun Hu; Chetan Choppali Sudarshan; Maxwell Clifford; Vidya A. Chhabria; Aman Arora 001 (ACM Great Lakes Symposium on VLSI, 2025)

Performance Analysis of GEMM Workloads on the AMD Versal Platform. - Kaustubh Manohar Mhatre; Venkata Guru Prashanth Mulleti; Curt John Bansil; Endri Taka; Aman Arora 001 (ISPASS, 2025)

SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs. - Masudul Hassan Quraishi; Michael Riera; Fengbo Ren; Aman Arora 001; Aviral Shrivastava (CoRR, 2025)

GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines. - Kaustubh Manohar Mhatre; Endri Taka; Aman Arora 001 (CoRR, 2025)

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. - Jiajun Hu; Chetan Choppali Sudarshan; Vidya A. Chhabria; Aman Arora 001 (CoRR, 2025)