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ORCIDMukul Lokhande
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2020 – today
- 2025
[j1]Mukul Lokhande
, Gopal Raut, Santosh Kumar Vishvakarma:
Flex-PE: Flexible and SIMD Multiprecision Processing Element for AI Workloads. IEEE Trans. Very Large Scale Integr. Syst. 33(6): 1610-1623 (2025)- [c4]Omkar Kokane, Mukul Lokhande, Gopal Raut, Adam Teman, Santosh Kumar Vishvakarma:
LPRE: Logarithmic Posit-enabled Reconfigurable edge-AI Engine. ISCAS 2025: 1-5 - [c3]Akash Sankhe, Mukul Lokhande, Radheshyam Sharma, Santosh Kumar Vishvakarma:
Area-Optimized 2D Interleaved Adder Tree Design for Sparse DCIM Edge Processing. ISQED 2025: 1-6 - [c2]Omkar Kokane, Gopal Raut, Salim Ullah, Mukul Lokhande, Adam Teman, Akash Kumar, Santosh Kumar Vishvakarma:
Retrospective: A CORDIC Based Configurable Activation Function for NN Applications. ISVLSI 2025: 1-6 - [i13]Omkar Kokane, Adam Teman, Anushka Jha, Guru Prasath SL, Gopal Raut, Mukul Lokhande, S. V. Jaya Chand, Tanushree Dewangan, Santosh Kumar Vishvakarma:
CORDIC Is All You Need. CoRR abs/2503.11685 (2025) - [i12]Omkar Kokane, Gopal Raut, Salim Ullah, Mukul Lokhande, Adam Teman, Akash Kumar, Santosh Kumar Vishvakarma:
Retrospective: A CORDIC Based Configurable Activation Function for NN Applications. CoRR abs/2503.14354 (2025) - [i11]Anushka Jha, Tanushree Dewangan, Mukul Lokhande, Santosh Kumar Vishvakarma:
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine. CoRR abs/2506.07046 (2025) - [i10]Mukul Lokhande, Santosh Kumar Vishvakarma:
POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration. CoRR abs/2506.08785 (2025) - [i9]Tejas Chaudhari, Akarsh J., Tanushree Dewangan, Mukul Lokhande, Santosh Kumar Vishvakarma:
XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads. CoRR abs/2508.13049 (2025) - [i8]Mukul Lokhande, Tanushree Dewangan, Mohd Sharik Mansoori, Tejas Chaudhari, Akarsh J., Damayanti Lokhande, Adam Teman, Santosh Kumar Vishvakarma:
Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation. CoRR abs/2510.10676 (2025) - [i7]Sonu Kumar, Arjun S. Nair, Bhawna Chaudhary, Mukul Lokhande, Santosh Kumar Vishvakarma:
ReLACE: A Resource-Efficient Low-Latency Cortical Acceleration Engine. CoRR abs/2510.17392 (2025) - [i6]Mukul Lokhande, Narendra Singh Dhakad, Seema Chouhan, Akash Sankhe, Santosh Kumar Vishvakarma:
Res-DPU: Resource-shared Digital Processing-in-memory Unit for Edge-AI Workloads. CoRR abs/2510.19260 (2025) - [i5]Mohd Faisal Khan, Mukul Lokhande, Santosh Kumar Vishvakarma:
RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN. CoRR abs/2510.22627 (2025) - [i4]Mukul Lokhande, Akash Sankhe, S. V. Jaya Chand, Santosh Kumar Vishvakarma:
FERMI-ML: A Flexible and Resource-Efficient Memory-In-Situ SRAM Macro for TinyML acceleration. CoRR abs/2511.12544 (2025) - 2024
- [c1]Omkar Kokane, Prabhat Sati, Mukul Lokhande, Santosh Kumar Vishvakarma:
HOAA: Hybrid Overestimating Approximate Adder for Enhanced Performance Processing Engine. VDAT 2024: 1-6 - [i3]Omkar Kokane, Prabhat Sati, Mukul Lokhande, Santosh Kumar Vishvakarma:
HOAA: Hybrid Overestimating Approximate Adder for Enhanced Performance Processing Engine. CoRR abs/2408.00806 (2024) - [i2]Sonu Kumar, Komal Gupta, Gopal Raut, Mukul Lokhande, Santosh Kumar Vishvakarma:
HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator. CoRR abs/2409.04976 (2024) - [i1]Mukul Lokhande, Gopal Raut, Santosh Kumar Vishvakarma:
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads. CoRR abs/2412.11702 (2024)
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