Neelesh Gupta

20 papers A 1Misc 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA.
CoRR
Neelesh Gupta, Peter Wang, Rajgopal Kannan, Viktor K. Prasanna
2026 J jnl
Enabling Long FFT Convolutions on Memory-Constrained FPGAs via Chunking.
CoRR
Peter Wang, Neelesh Gupta, Viktor K. Prasanna
2025 Misc conf
Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units.
HiPC
Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor K. Prasanna
2025 J jnl
Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units.
CoRR
Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor K. Prasanna
2025 — conf
Enabling Long FFT Convolutions on Memory-Constrained FPGAs via Chunking.
HiPCW
Peter Wang, Neelesh Gupta, Viktor K. Prasanna
2025 — conf
Performance-Energy Characterization of ML Inference on Heterogeneous Edge AI Platforms.
HPEC
Palash Kohli, Rakshith Jayanth, Neelesh Gupta, Haoyang Fan, Viktor K. Prasanna
2024 A conf
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching.
IPDPS
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
2024 J jnl
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching.
CoRR
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
2024 — conf
Benchmarking Edge AI Platforms for High-Performance ML Inference.
HPEC
Rakshith Jayanth, Neelesh Gupta, Viktor K. Prasanna
2024 J jnl
Benchmarking Edge AI Platforms for High-Performance ML Inference.
CoRR
Rakshith Jayanth, Neelesh Gupta, Viktor K. Prasanna
2024 J jnl
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models.
CoRR
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2024 — conf
TabConv: Low-Computation CNN Inference via Table Lookups.
CF
Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
2024 J jnl
TabConv: Low-Computation CNN Inference via Table Lookups.
CoRR
Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
2024 — conf
Towards Real-Time LLM Inference on Heterogeneous Edge Platforms.
HIPCW
Rakshith Jayanth, Neelesh Gupta, Souvik Kundu, Deepak A. Mathaikutty, Viktor K. Prasanna
2023 — conf
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models.
HPEC
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2022 J jnl
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CoRR
Jeffrey Liu, Rajat Tandon, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Neelesh Gupta, Zoe Zhou, Jelena Mirkovic
2014 J jnl
LAR-1: Affirmative influences on Energy-Conservation and Network Lifetime in MANET.
Int. J. Comput. Commun. Control
Neelesh Gupta, Roopam Gupta
2013 J jnl
Optimizing Cost, Delay, Packet Loss and Network Load in AODV Routing Protocol
CoRR
Ashutosh Lanjewar, Neelesh Gupta
2011 — conf
Route-Discovery Optimization in LAR: A Review.
SocProS (2)
Neelesh Gupta, Roopam Gupta
2009 J jnl
E2-SCAN: an extended credit strategy-based energy-efficient security scheme for wireless ad hoc networks.
IET Commun.
Sanjay K. Dhurandher, Sudip Misra, Sombir Ahlawat, Neelesh Gupta, Nitesh Gupta