Akshat Ramachandran

15 papers A* 2A 2B 1C 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
AIRCHITECT v2: Learning the Hardware Accelerator Design Space Through Unified Representations.
DATE
Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna
2025 J jnl
AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations.
CoRR
Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna
2025 A conf
Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator.
ISLPED
Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna
2025 J jnl
Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator.
CoRR
Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak A. Mathaikutty, Tushar Krishna
2025 A* conf
MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization.
ISCA
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2025 J jnl
OneDSE: A Unified Microprocessor Metric Prediction and Design Space Exploration Framework.
CoRR
Ritik Raj, Akshat Ramachandran, Jeff Nye, Shashank Nemawarkar, Tushar Krishna
2025 J jnl
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models.
CoRR
Akshat Ramachandran, Mingyu Lee, Huan Xu, Souvik Kundu, Tushar Krishna
2025 J jnl
ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models.
CoRR
Akshat Ramachandran, Marina Neseem, Charbel Sakr, Rangharajan Venkatesan, Brucek Khailany, Tushar Krishna
2024 A* conf
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference.
DAC
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024 J jnl
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference.
CoRR
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024 J jnl
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs.
CoRR
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2024 — conf
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-training Quantization of ViTs.
ECCV (67)
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2024 J jnl
MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization.
CoRR
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2023 B conf
NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion.
ICIP
Akshat Ramachandran, Ankit Dhiman, Basavaraja Shanthappa Vandrotti, Jooyoung Kim
2022 C conf
PositIV: A Configurable Posit Processor Architecture for Image and Video Processing.
DSD
Akshat Ramachandran, John Gustafson, Anusua Roy, Rizwan Ahmed Ansari, Rohin D. Daruwala