Swagath Venkataramani

Publications

• Is Finer Better? The Limits of Microscaling Formats in Large Language Models

  • • Andrea Fasoli
    • Monodeep Kar
    • et al.
  • 2026
  • ICLR 2026

  Conference paper

• Eliminating Redundancy: Ultra-compact Code Generation for Programmable Dataflow Accelerators

  • • Prasanth Chatarasi
    • Alex Gatea
    • et al.
  • 2026
  • CGO 2026

  Conference paper

• Spyre: An inference-optimized scalable AI accelerator for enterprise workloads

  • • Matt Cohen
    • Monodeep Kar
    • et al.
  • 2026
  • ISSCC 2026

  Conference paper

• Enabling Spill-Free Compilation via Affine-Based Live Range Reduction Optimization

  • • Prasanth Chatarasi
    • Alex Gatea
    • et al.
  • 2026
  • CGO 2026

  Conference paper

• Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure

  • • Rui Xie
    • Asad Ul Haq
    • et al.
  • 2025
  • IEEE Computer Architecture Letters

  Paper

• MixTrain: accelerating DNN training via input mixing

  • • Sarada Krithivasan
    • Sanchari Sen
    • et al.
  • 2024
  • Frontiers in Artificial Intelligence

  Paper

• A 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 paper

• DNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU

  • • Sanchari Sen
    • Shubham Jain
    • et al.
  • 2024
  • IEEE Micro

  Paper

• Power-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

  Paper

• Deep Compression of Pre-trained Transformer Models

  • • Naigang Wang
    • Chi-Chun Liu
    • et al.
  • 2022
  • NeurIPS 2022

  Conference paper