Is Finer Better? The Limits of Microscaling Formats in Large Language Models
- Andrea Fasoli
- Monodeep Kar
- et al.
- 2026
- ICLR 2026
Conference paper
Publications
65 results for Vijayalakshmi Srinivasan
Eliminating Redundancy: Ultra-compact Code Generation for Programmable Dataflow Accelerators
- Prasanth Chatarasi
- Alex Gatea
- et al.
- 2026
- CGO 2026
Conference paperSpyre: An inference-optimized scalable AI accelerator for enterprise workloads
- Matt Cohen
- Monodeep Kar
- et al.
- 2026
- ISSCC 2026
Conference paperEnabling Spill-Free Compilation via Affine-Based Live Range Reduction Optimization
- Prasanth Chatarasi
- Alex Gatea
- et al.
- 2026
- CGO 2026
Conference paperEnabling Enterprise AI with IBM Spyre
- Jeffrey Burns
- Leland Chang
- et al.
- 2025
- IEDM 2025
Invited talkA Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC
- Monodeep Kar
- Joel Silberman
- et al.
- 2024
- ISSCC 2024
Conference paperDNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU
- Sanchari Sen
- Shubham Jain
- et al.
- 2024
- IEEE Micro
PaperPower-Limited Inference Performance Optimization Using a Software-Assisted Peak Current Regulation Scheme in a 5-nm AI SoC
- Monodeep Kar
- Joel Silberman
- et al.
- 2024
- IEEE Journal of Solid-State Circuits
PaperDeep Compression of Pre-trained Transformer Models
- Naigang Wang
- Chi-Chun Liu
- et al.
- 2022
- NeurIPS 2022
Conference paperOnSRAM: Efficient Inter-Node On-Chip Scratchpad Management in Deep Learning Accelerators
- Subhankar Pal
- Swagath Venkataramani
- et al.
- 2022
- Transactions on Embedded Computing Systems
Paper