Scholar
Shamik Kundu
Google Scholar ID: oSt5pNEAAAAJ
Advanced Architecture Research, NPU, Intel AI
Deep Learning
Hardware Accelerator
Reliability
Hardware Security
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Citations & Impact
All-time
Citations
569
H-index
13
i10-index
15
Publications
20
Co-authors
19
list available
Publications
9 items
ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors
2026
Cited
0
SPARQLe: Sub-Precision Activation Representation for Quantized LLM Inference
2026
Cited
0
RAMBO: Reliability Analysis for Mamba through Bit-flip attack Optimization
2025
Cited
0
SafeCiM: Investigating Resilience of Hybrid Floating-Point Compute-in-Memory Deep Learning Accelerators
2025
Cited
0
Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator
2025
Cited
0
Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset
2025
Cited
0
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units
2025
Cited
0
XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
2025
Cited
0
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Co-authors
10 total
Kanad Basu (কণাদ বসু)
Rensselaer Polytechnic Institute
Arnab Raha
Senior Research Scientist, NPU Advanced Architecture, Intel AI
Deepak Mathaikutty
Principal AI Engineer
Soumendu Kumar Ghosh
Deep Learning HW Engineer, Advanced Architecture Research, Intel Client AI
Sanjay Das
University of Texas at Dallas
Souvik Kundu
Sr. Staff Research Scientist, Intel AI Group; Ph.D - USC; IEEE/ACM DAC under-40 Innovator
Samit Shahnawaz Miftah
PhD Student, Rensselaer Polytechnic Institute
Khaza Anuarul Hoque
Associate Professor, Electrical Engineering and Computer Science (EECS), University of Missouri
