Aman Arora - RankMe

63 papers A* 1A 10B 6Misc 4Journal 26Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CarbonPATH: Carbon-aware pathfinding and architecture optimization for chiplet-based AI systems. CoRR Chetan Choppali Sudarshan, Jiajun Hu, Aman Arora, Vidya A. Chhabria
2026	A	`conf`	Closing the Loop on FPGA Verification: An Iterative Framework for Maximizing Routing Resource Coverage. FPGA Ruthwik Reddy Sunketa, Aman Arora
2026	A	`conf`	MARU: An ML-Based Framework for Area Estimation from FPGA Resource Usage. FPGA Tarun Kholay, Anup Ashok Kedilaya, Aman Arora, Jaydeep P. Kulkarni, Lizy K. John
2026	J	`jnl`	OpenFPGA-NoC: Automated Fabric and Bitstream Generation for NoC-based FPGAs. ACM Trans. Reconfigurable Technol. Syst. Ruthwik Reddy Sunketa, Muhammad Ali Farooq, Ganesh Gore, Allen Boston, Pierre-Emmanuel Gaillardon, Aman Arora
2025	B	`conf`	ATAPP: Architecture and Technology Aware Power Predictor for Unseen FPGAS. FPL Zhigang Wei, Aman Arora, Emily Shriver, Lizy K. John
2025	Misc	`conf`	Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. FCCM Archit Gajjar, Lei Zhao, Omar Eldash, Aishwarya Natarajan, Xia Sheng, Giacomo Pedretti, Aman Arora, Paolo Faraboschi, Jim Ignowski, Luca Buonanno
2025	—	`conf`	CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. ACM Great Lakes Symposium on VLSI Jiajun Hu, Chetan Choppali Sudarshan, Maxwell Clifford, Vidya A. Chhabria, Aman Arora
2025	J	`jnl`	CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. CoRR Jiajun Hu, Chetan Choppali Sudarshan, Vidya A. Chhabria, Aman Arora
2025	Misc	`conf`	Compute-In-Memory on FPGAs for Deep Learning: A Review. FCCM Aman Arora
2025	J	`jnl`	Field-Programmable Gate Array Architecture for Deep Learning: Survey and Future Directions. Proc. IEEE Andrew Boutros, Aman Arora, Vaughn Betz
2025	B	`conf`	GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines. FPL Kaustubh Manohar Mhatre, Endri Taka, Aman Arora
2025	J	`jnl`	GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines. CoRR Kaustubh Manohar Mhatre, Endri Taka, Aman Arora
2025	A	`conf`	High Throughput Low Latency Network Intrusion Detection on FPGAs: A Raw Packet Approach. FPGA Muhammad Ali Farooq, Abid Rafique, Suhaib A. Fahmy, Aman Arora
2025	—	`conf`	High Throughput Low Latency Network Intrusion Detection on FPGAs: A Raw Packet Approach. IPDPS (Workshops) Muhammad Ali Farooq, Abid Rafique, Suhaib A. Fahmy, Aman Arora
2025	J	`jnl`	LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout. CoRR M. A. Farooq, G. Di Guglielmo, A. Rajagopala, N. Tran, Vidya A. Chhabria, Aman Arora
2025	—	`conf`	Out-of-the-Box Performance of FPGAs for ML Workloads Using Vitis AI. ARC Deepak Kumar Athur, Rutuparn Pawar, Aman Arora
2025	A	`conf`	Performance Analysis of GEMM Workloads on the AMD Versal Platform. FPGA Kaustubh Manohar Mhatre, Venkata Guru Prasanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora
2025	B	`conf`	Performance Analysis of GEMM Workloads on the AMD Versal Platform. ISPASS Kaustubh Manohar Mhatre, Venkata Guru Prashanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora
2025	J	`jnl`	RACAM: Enhancing DRAM with Reuse-Aware Computation and Automated Mapping for ML Inference. CoRR Siyuan Ma, Jiajun Hu, Jeeho Ryoo, Aman Arora, Lizy Kurian John
2025	J	`jnl`	SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs. CoRR Masudul Hassan Quraishi, Michael Riera, Fengbo Ren, Aman Arora, Aviral Shrivastava
2025	A	`conf`	Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. FPGA Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu
2025	J	`jnl`	Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. CoRR Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu
2024	—	`conf`	Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports. IGSC Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2024	A	`conf`	Cross-FPGA Power Estimation from High Level Synthesis via Transfer-Learning. FPGA Zhigang Wei, Aman Arora, Emily Shriver, Lizy Kurian John
2024	Misc	`conf`	Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. FCCM Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora
2024	J	`jnl`	Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. CoRR Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora
2024	J	`jnl`	Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions. CoRR Andrew Boutros, Aman Arora, Vaughn Betz
2024	A*	`conf`	GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. DAC Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2024	—	`conf`	HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. MLCAD Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao
2024	J	`jnl`	HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. CoRR Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao
2024	—	`conf`	LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. MWSCAS 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
2024	J	`jnl`	PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. ACM Trans. Archit. Code Optim. Siyuan Ma, Kaustubh Manohar Mhatre, Jian Weng, Bagus Hanindhito, Zhengrong Wang, Tony Nowatzki, Lizy K. John, Aman Arora
2023	A	`conf`	An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. FPGA 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
2023	—	`conf`	COIN: Combinational Intelligent Networks. ASAP 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
2023	J	`jnl`	CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. ACM Trans. Reconfigurable Technol. Syst. Aman Arora, Atharva Bhamburkar, Aatman Borda, Tanmay Anand, Rishabh Sehgal, Bagus Hanindhito, Pierre-Emmanuel Gaillardon, Jaydeep P. Kulkarni, Lizy K. John
2023	J	`jnl`	GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. CoRR Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria
2023	—	`conf`	HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. ASAP Zhigang Wei, Aman Arora, Ruihao Li, Lizy K. John
2023	J	`jnl`	HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. CoRR Zhigang Wei, Aman Arora, Lizy K. John
2023	—	`conf`	Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion. ASPLOS (3) Zhengrong Wang, Christopher Liu, Aman Arora, Lizy Kurian John, Tony Nowatzki
2023	J	`jnl`	Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Aman Arora, Andrew Boutros, Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty, Tanmay Anand, Mohamed A. Elgammal, Kenneth B. Kent, Vaughn Betz, Lizy K. John
2023	—	`conf`	MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. ICFPT Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu
2023	J	`jnl`	MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. CoRR Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu
2023	J	`jnl`	PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. CoRR Aman Arora, Jian Weng, Siyuan Ma, Tony Nowatzki, Lizy K. John
2023	J	`jnl`	ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks. CoRR Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, 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 Jr., Lizy K. John
2023	J	`jnl`	ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. ACM Trans. Archit. Code Optim. 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
2022	Misc	`conf`	CoMeFa: Compute-in-Memory Blocks for FPGAs. FCCM Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep P. Kulkarni, Lizy K. John
2022	J	`jnl`	CoMeFa: Compute-in-Memory Blocks for FPGAs. CoRR Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep P. Kulkarni, Lizy K. John
2022	—	`conf`	Hardware-aware 3D Model Workload Selection and Characterization for Graphics and ML Applications. ISQED Ruihao Li, Aman Arora, Sikan Li, Qinzhe Wu, Lizy K. John
2022	—	`conf`	LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. ISQED Pragnesh Patel, Aman Arora, Earl E. Swartzlander Jr., Lizy K. John
2022	—	`conf`	LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. ASAP 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
2022	A	`conf`	MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. FPGA Aman Arora, Aatman Borda, Tanmay Anand, Bagus Hanindhito, Lizy K. John
2022	B	`conf`	Pruning Weightless Neural Networks. ESANN 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
2022	J	`jnl`	Tensor Slices: FPGA Building Blocks For The Deep Learning Era. ACM Trans. Reconfigurable Technol. Syst. Aman Arora, Moinak Ghosh, Samidh Mehta, Vaughn Betz, Lizy K. John
2022	B	`conf`	Weightless Neural Networks for Efficient Edge Inference. PACT 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
2022	J	`jnl`	Weightless Neural Networks for Efficient Edge Inference. CoRR Zachary Susskind, Aman Arora, Igor Dantas dos Santos Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvão França, Maurício Breternitz Jr., Lizy K. John
2021	—	`conf`	Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. ACSCC Aman Arora, Bagus Hanindhito, Lizy K. John
2021	J	`jnl`	Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. CoRR Aman Arora, Bagus Hanindhito, Lizy K. John
2021	B	`conf`	Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. FPL 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
2021	J	`jnl`	Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. CoRR 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
2021	A	`conf`	Tensor Slices to the Rescue: Supercharging ML Acceleration on FPGAs. FPGA Aman Arora, Samidh Mehta, Vaughn Betz, Lizy K. John
2020	—	`conf`	Design Space Exploration for Softmax Implementations. ASAP Zhigang Wei, Aman Arora, Pragenesh Patel, Lizy Kurian John
2020	—	`conf`	Hamamu: Specializing FPGAs for ML Applications by Adding Hard Matrix Multiplier Blocks. ASAP Aman Arora, Zhigang Wei, Lizy K. John
2020	A	`conf`	The Case for Hard Matrix Multiplier Blocks in an FPGA. FPGA Aman Arora, Zhigang Wei, Lizy K. John