Anand Raghunathan
Purdue University
H-index: 84
North America-United States
Top articles of Anand Raghunathan
Ternary in-memory accelerator
2024/4/23
Apparatuses, methods, and systems for neural networks
2019/10/3
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms
arXiv preprint arXiv:2403.15717
2024/3/23
PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency
ACM Transactions on Embedded Computing Systems
2024/1/10
LRMP: Layer Replication with Mixed Precision for Spatial In-memory DNN Accelerators
arXiv preprint arXiv:2312.03146
2023/12/5
Anand Raghunathan
H-Index: 48
TokenDrop+ BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models
2023/12/1
Anand Raghunathan
H-Index: 48
Input Compression with Positional Consistency for Efficient Training and Inference of Transformer Neural Networks
arXiv preprint arXiv:2312.12385
2023/11/22
Anand Raghunathan
H-Index: 48
EvoSh: Evolutionary Search with Shaving to Enable Power-Latency Tradeoff in Deep Learning Computing on Embedded Systems
2023/9/5
Compute in‐Memory with Non‐Volatile Elements for Neural Networks: A Review from a Co‐Design Perspective
2022/12
Anand Raghunathan
H-Index: 48
Kaushik Roy
H-Index: 3
Bhaswar Chakrabarti
H-Index: 11
Cheng Wang
H-Index: 0
Supratik Guha
H-Index: 31
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators
arXiv preprint arXiv:2308.02024
2023/8/3
Apparatuses, methods, and systems for access synchronization in a shared memory
2021/8/31
X-former: In-memory acceleration of transformers
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
2023/6/19
Piezoelectric Strain FET (PeFET)-Based Nonvolatile Memories
IEEE Transactions on Electron Devices
2023/5/10
Niharika Thakuria
H-Index: 3
Anand Raghunathan
H-Index: 48
Fastrain-gnn: Fast and accurate self-training for graph neural networks
Transactions on Machine Learning Research
2023/1/8
Anand Raghunathan
H-Index: 48
A co-design view of compute in-memory with non-volatile elements for neural networks
2022/6/3
Ax-BxP: Approximate blocked computation for precision-reconfigurable deep neural network acceleration
ACM Transactions on Design Automation of Electronic Systems (TODAES)
2022/1/28
Shubham Jain
H-Index: 11
Anand Raghunathan
H-Index: 48
Accelerating DNN training through selective localized learning
Frontiers in Neuroscience
2022/1/11
Sarada Krithivasan
H-Index: 3
Anand Raghunathan
H-Index: 48
Seprox: Sequence-based Approximations for Compressing Ultra-Low Precision Deep Neural Networks
2022/10/30
Sarada Krithivasan
H-Index: 3
Anand Raghunathan
H-Index: 48
Approximate computing and the efficient machine learning expedition
2022/10/30
Jörg Henkel
H-Index: 39
Hai Li
H-Index: 11
Anand Raghunathan
H-Index: 48
Xiaoxuan Yang
H-Index: 7
Georgios Zervakis
H-Index: 9
Contention grading and adaptive model selection for machine vision in embedded systems
ACM Transactions on Embedded Computing Systems (TECS)
2022/10/8
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