Aman Arora

According to our database, Aman Arora authored at least 43 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, June, 2025

GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines.

Kaustubh Manohar Mhatre, Endri Taka, Aman Arora

CoRR, April, 2025

SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs.

Masudul Hassan Quraishi, Michael Riera, Fengbo Ren, Aman Arora, Aviral Shrivastava

CoRR, March, 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

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 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

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 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, Diana Marculescu

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 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

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

High Throughput Low Latency Network Intrusion Detection on FPGAs: A Raw Packet Approach.

Muhammad Ali Farooq, Abid Rafique, Suhaib A. Fahmy, Aman Arora

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 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, Paolo Faraboschi, Jim Ignowski, Luca Buonanno

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

Compute-In-Memory on FPGAs for Deep Learning: A Review.

Aman Arora

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

Out-of-the-Box Performance of FPGAs for ML Workloads Using Vitis AI.

Deepak Kumar Athur, Rutuparn Pawar, Aman Arora

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2025

2024

PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation.

Siyuan Ma, Kaustubh Manohar Mhatre, Jian Weng, Bagus Hanindhito, Zhengrong Wang, Tony Nowatzki, Lizy K. John, Aman Arora

ACM Trans. Archit. Code Optim., December, 2024

Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions.

Andrew Boutros, Aman Arora, Vaughn Betz

CoRR, 2024

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA.

Shashank Nag, Zachary Susskind, Aman Arora, 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

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 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, Cong Hao

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports.

Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria

Proceedings of the 15th IEEE International Green and Sustainable Computing Conference, 2024

Cross-FPGA Power Estimation from High Level Synthesis via Transfer-Learning.

Zhigang Wei, Aman Arora, Emily Shriver, Lizy Kurian John

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs.

Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora

Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions.

Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks.

Zachary Susskind, Aman Arora, 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., December, 2023

Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research.

Aman Arora, 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., November, 2023

CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration.

Aman Arora, Atharva Bhamburkar, Aatman Borda, Tanmay Anand, Rishabh Sehgal, Bagus Hanindhito, Pierre-Emmanuel Gaillardon, Jaydeep Kulkarni, Lizy K. John

ACM Trans. Reconfigurable Technol. Syst., September, 2023

PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation.

Aman Arora, Jian Weng, Siyuan Ma, Tony Nowatzki, Lizy K. John

CoRR, 2023

HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis.

Zhigang Wei, Aman Arora, Lizy K. John

CoRR, 2023

MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine.

Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu

Proceedings of the International Conference on Field Programmable Technology, 2023

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection.

Zachary Susskind, Aman Arora, 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

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion.

Zhengrong Wang, Christopher Liu, Aman Arora, Lizy Kurian John, Tony Nowatzki

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis.

Zhigang Wei, Aman Arora, Ruihao Li, Lizy K. John

Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

COIN: Combinational Intelligent Networks.

Igor D. S. Miranda, Aman Arora, 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

Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022

Tensor Slices: FPGA Building Blocks For The Deep Learning Era.

Aman Arora, Moinak Ghosh, Samidh Mehta, Vaughn Betz, Lizy K. John

ACM Trans. Reconfigurable Technol. Syst., 2022

LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning.

Pragnesh Patel, Aman Arora, Earl E. Swartzlander Jr., Lizy K. John

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Hardware-aware 3D Model Workload Selection and Characterization for Graphics and ML Applications.

Ruihao Li, Aman Arora, Sikan Li, Qinzhe Wu, Lizy K. John

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs.

Aman Arora, Aatman Borda, Tanmay Anand, Bagus Hanindhito, Lizy K. John

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

CoMeFa: Compute-in-Memory Blocks for FPGAs.

Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

Pruning Weightless Neural Networks.

Zachary Susskind, Alan T. L. Bacellar, Aman Arora, 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

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks.

Igor D. S. Miranda, Aman Arora, 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

Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

Weightless Neural Networks for Efficient Edge Inference.

Zachary Susskind, Aman Arora, 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

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research.

Aman Arora, 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

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

Tensor Slices to the Rescue: Supercharging ML Acceleration on FPGAs.

Aman Arora, Samidh Mehta, Vaughn Betz, Lizy K. John

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs.

Aman Arora, Bagus Hanindhito, Lizy K. John

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

The Case for Hard Matrix Multiplier Blocks in an FPGA.

Aman Arora, Zhigang Wei, Lizy K. John

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Design Space Exploration for Softmax Implementations.

Zhigang Wei, Aman Arora, Pragenesh Patel, Lizy Kurian John

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

Hamamu: Specializing FPGAs for ML Applications by Adding Hard Matrix Multiplier Blocks.

Aman Arora, Zhigang Wei, Lizy K. John

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020