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ORCIDAman Arora 0001
Person information
- affiliation: Arizona State University, School of Computing and Augmented Intelligence (SCAI), Tempe, AZ, USA
- affiliation (former, PhD 2023): University of Texas at Austin, Austin, TX, USA
Other persons with the same name
- Aman Arora 0002
![[0000-0002-2204-5053]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2204-5053")
— CSIR Central Mechanical Engineering Research Institute (CSIR-CMERI), Durgapur, WB, India - Aman Arora 0003 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Aman Arora 0004 — University of Gustave Eiffel, GERS-LEE, Bouguenais, France (and 1 more)
- Aman Arora 0005 — Humber College, Toronto, ON, Canada
- Aman Arora 0006 — Thapar Institute of Engineering & Technology, Patiala, India
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2020 – today
- 2025
[c31]Deepak Kumar Athur, Rutuparn Pawar, Aman Arora:
Out-of-the-Box Performance of FPGAs for ML Workloads Using Vitis AI. ARC 2025: 123-139- [c30]Aman Arora:
Compute-In-Memory on FPGAs for Deep Learning: A Review. FCCM 2025: 243-253 - [c29]Archit Gajjar, Lei Zhao, Omar Eldash, Aishwarya Natarajan, Xia Sheng, Giacomo Pedretti, Aman Arora, Paolo Faraboschi, Jim Ignowski, Luca Buonanno:
Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. FCCM 2025: 290 - [c28]Kaustubh Manohar Mhatre, Venkata Guru Prasanth Mulleti, Curt John Bansil, Endri Taka, Aman Arora:
Performance Analysis of GEMM Workloads on the AMD Versal Platform. FPGA 2025: 46 - [c27]Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu:
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. FPGA 2025: 159-171 - [c26]Muhammad Ali Farooq, Abid Rafique, Suhaib A. Fahmy, Aman Arora:
High Throughput Low Latency Network Intrusion Detection on FPGAs: A Raw Packet Approach. FPGA 2025: 183 - [c25]Jiajun Hu, Chetan Choppali Sudarshan, Maxwell Clifford, Vidya A. Chhabria, Aman Arora:
CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. ACM Great Lakes Symposium on VLSI 2025: 177-184 - [i16]Endri Taka, Ning-Chi Huang, Chi-Chih Chang, Kai-Chiang Wu, Aman Arora, Diana Marculescu:
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration. CoRR abs/2502.03763 (2025) - [i15]Masudul Hassan Quraishi, Michael Riera, Fengbo Ren, Aman Arora, Aviral Shrivastava:
SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs. CoRR abs/2503.00974 (2025) - [i14]Kaustubh Mhatre, Endri Taka, Aman Arora:
GAMA: High-Performance GEMM Acceleration on AMD Versal ML-Optimized AI Engines. CoRR abs/2504.09688 (2025) - [i13]Jiajun Hu, Chetan Choppali Sudarshan, Vidya A. Chhabria, Aman Arora:
CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs. CoRR abs/2506.10373 (2025) - 2024
- [j5]Siyuan Ma, Kaustubh Manohar Mhatre, Jian Weng, Bagus Hanindhito, Zhengrong Wang, Tony Nowatzki, Lizy K. John, Aman Arora:
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. ACM Trans. Archit. Code Optim. 21(4): 91:1-91:27 (2024) - [c24]Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. DAC 2024: 320:1-320:6 - [c23]Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora:
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. FCCM 2024: 54-65 - [c22]Zhigang Wei, Aman Arora, Emily Shriver, Lizy Kurian John:
Cross-FPGA Power Estimation from High Level Synthesis via Transfer-Learning. FPGA 2024: 187 - [c21]Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
Beyond the Surface: The Necessity for Detailed Metrics in Corporate Sustainability Reports. IGSC 2024: 145-150 - [c20]Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao:
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. MLCAD 2024: 23:1-23:9 - [c19]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:
LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. MWSCAS 2024: 1206-1211 - [i12]Andrew Boutros, Aman Arora, Vaughn Betz:
Field-Programmable Gate Array Architecture for Deep Learning: Survey & Future Directions. CoRR abs/2404.10076 (2024) - [i11]Endri Taka, Dimitrios Gourounas, Andreas Gerstlauer, Diana Marculescu, Aman Arora:
Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs. CoRR abs/2404.11066 (2024) - [i10]Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao:
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. CoRR abs/2405.00820 (2024) - 2023
- [j4]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:
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. ACM Trans. Archit. Code Optim. 20(4): 61:1-61:24 (2023) - [j3]Aman Arora, Andrew Boutros, Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty, Tanmay Anand, Mohamed A. Elgammal, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3895-3909 (2023) - [j2]Aman Arora, Atharva Bhamburkar, Aatman Borda, Tanmay Anand, Rishabh Sehgal, Bagus Hanindhito, Pierre-Emmanuel Gaillardon, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. ACM Trans. Reconfigurable Technol. Syst. 16(3): 50:1-50:34 (2023) - [c18]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:
COIN: Combinational Intelligent Networks. ASAP 2023: 27-28 - [c17]Zhigang Wei, Aman Arora, Ruihao Li, Lizy K. John:
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. ASAP 2023: 197-204 - [c16]Zhengrong Wang, Christopher Liu, Aman Arora, Lizy Kurian John, Tony Nowatzki:
Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion. ASPLOS (3) 2023: 359-375 - [c15]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:
An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. FPGA 2023: 232 - [c14]Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu:
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. ICFPT 2023: 96-105 - [i9]Zhigang Wei, Aman Arora, Lizy K. John:
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. CoRR abs/2302.10977 (2023) - [i8]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:
ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks. CoRR abs/2304.10618 (2023) - [i7]Endri Taka, Aman Arora, Kai-Chiang Wu, Diana Marculescu:
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine. CoRR abs/2311.04980 (2023) - [i6]Aman Arora, Jian Weng, Siyuan Ma, Tony Nowatzki, Lizy K. John:
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. CoRR abs/2311.11384 (2023) - [i5]Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
GreenFPGA: Evaluating FPGAs as Environmentally Sustainable Computing Solutions. CoRR abs/2311.12396 (2023) - 2022
- [j1]Aman Arora, Moinak Ghosh, Samidh Mehta, Vaughn Betz, Lizy K. John:
Tensor Slices: FPGA Building Blocks For The Deep Learning Era. ACM Trans. Reconfigurable Technol. Syst. 15(4): 46:1-46:34 (2022) - [c13]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:
Weightless Neural Networks for Efficient Edge Inference. PACT 2022: 279-290 - [c12]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:
LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. ASAP 2022: 19-26 - [c11]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:
Pruning Weightless Neural Networks. ESANN 2022 - [c10]Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. FCCM 2022: 1-9 - [c9]Aman Arora, Aatman Borda, Tanmay Anand, Bagus Hanindhito, Lizy K. John:
MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. FPGA 2022: 52 - [c8]Ruihao Li, Aman Arora, Sikan Li, Qinzhe Wu, Lizy K. John:
Hardware-aware 3D Model Workload Selection and Characterization for Graphics and ML Applications. ISQED 2022: 1-8 - [c7]Pragnesh Patel, Aman Arora, Earl E. Swartzlander Jr., Lizy K. John:
LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. ISQED 2022: 1-7 - [i4]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:
Weightless Neural Networks for Efficient Edge Inference. CoRR abs/2203.01479 (2022) - [i3]Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. CoRR abs/2203.12521 (2022) - 2021
- [c6]Aman Arora, Bagus Hanindhito, Lizy K. John:
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. ACSCC 2021: 1156-1163 - [c5]Aman Arora, Samidh Mehta, Vaughn Betz, Lizy K. John:
Tensor Slices to the Rescue: Supercharging ML Acceleration on FPGAs. FPGA 2021: 23-33 - [c4]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:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. FPL 2021: 355-362 - [i2]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:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. CoRR abs/2106.07087 (2021) - [i1]Aman Arora, Bagus Hanindhito, Lizy K. John:
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. CoRR abs/2107.09178 (2021) - 2020
- [c3]Zhigang Wei, Aman Arora, Pragenesh Patel, Lizy Kurian John:
Design Space Exploration for Softmax Implementations. ASAP 2020: 45-52 - [c2]Aman Arora, Zhigang Wei, Lizy K. John:
Hamamu: Specializing FPGAs for ML Applications by Adding Hard Matrix Multiplier Blocks. ASAP 2020: 53-60 - [c1]Aman Arora, Zhigang Wei, Lizy K. John:
The Case for Hard Matrix Multiplier Blocks in an FPGA. FPGA 2020: 323
Coauthor Index
aka: Diego L. C. Dutra
aka: Felipe Maia Galvão França
aka: Lizy K. John
aka: Priscila Machado Vieira Lima
aka: Igor Dantas dos Santos Miranda
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