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Salim Ullah
Salim Ullah
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Zitiert von
Zitiert von
Jahr
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators
S Ullah, S Rehman, BS Prabakaran, F Kriebel, MA Hanif, M Shafique, ...
Proceedings of the 55th annual design automation conference, 1-6, 2018
872018
SMApproxlib library of FPGA-based approximate multipliers
S Ullah, SS Murthy, A Kumar
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
842018
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems
BS Prabakaran, S Rehman, MA Hanif, S Ullah, G Mazaheri, A Kumar, ...
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 917-920, 2018
642018
High-performance accurate and approximate multipliers for FPGA-based hardware accelerators
S Ullah, S Rehman, M Shafique, A Kumar
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
622021
RFAIDE—An RFID based navigation and object recognition assistant for visually impaired people
M Murad, A Rehman, AA Shah, S Ullah, M Fahad, KM Yahya
2011 7th International Conference on Emerging Technologies, 1-4, 2011
532011
Area-optimized accurate and approximate softcore signed multiplier architectures
S Ullah, H Schmidl, SS Sahoo, S Rehman, A Kumar
IEEE Transactions on Computers 70 (3), 384-392, 2020
502020
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
S Nambi, S Ullah, SS Sahoo, A Lohana, F Merchant, A Kumar
IEEE Access 9, 103691-103708, 2021
242021
LeAp: Leading-one detection-based softcore approximate multipliers with tunable accuracy
Z Ebrahimi, S Ullah, A Kumar
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 605-610, 2020
242020
Energy-efficient low-latency signed multiplier for FPGA-based hardware accelerators
S Ullah, TDA Nguyen, A Kumar
IEEE Embedded Systems Letters 13 (2), 41-44, 2020
222020
AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems
S Ullah, SS Sahoo, N Ahmed, D Chaudhury, A Kumar
ACM Transactions on Embedded Computing Systems (TECS) 21 (3), 1-31, 2022
182022
SIMDive: Approximate SIMD soft multiplier-divider for FPGAs with tunable accuracy
Z Ebrahimi, S Ullah, A Kumar
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 151-156, 2020
172020
A novel structure of the Smith-Waterman Algorithm for efficient sequence alignment
SK Zahid, L Hasan, AA Khan, S Ullah
2015 Third International Conference on Digital Information, Networking, and …, 2015
172015
Design methodology for embedded approximate artificial neural networks
A Balaji, S Ullah, A Das, A Kumar
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 489-494, 2019
152019
Align: A highly accurate adaptive layerwise log_2_lead quantization of pre-trained neural networks
S Gupta, S Ullah, K Ahuja, A Tiwari, A Kumar
IEEE Access 8, 118899-118911, 2020
132020
Salim Ullah
S Ullah, SS Sahoo, A Kumar
112023
Clapped: A design framework for implementing cross-layer approximation in fpga-based embedded systems
S Ullah, SS Sahoo, A Kumar
2021 58th ACM/IEEE Design Automation Conference (DAC), 475-480, 2021
102021
ReLAccS: A Multilevel Approach to Accelerator Design for Reinforcement Learning on FPGA-Based Systems
AR Baranwal, S Ullah, SS Sahoo, A Kumar
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
102020
L2L: A highly accurate Log_2_Lead quantization of pre-trained neural networks
S Ullah, S Gupta, K Ahuja, A Tiwari, A Kumar
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 979-982, 2020
82020
MemOReL A Memory-oriented Optimization Approach to Reinforcement Learning on FPGA-based Embedded Systems
SS Sahoo, AR Baranwal, S Ullah, A Kumar
Proceedings of the 2021 on Great Lakes Symposium on VLSI, 339-346, 2021
72021
SMApproxlib: Library of FPGA-based approximate multipliers, in 2018 DAC
S Ullah, SS Murthy, A Kumar
IEEE, 2018
72018
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