Recent Publications

  • ET: An Energy Efficient Edge Transformer ArchitecturePDF
    Shashank Nag, Alan Bacellar, Anshul Jha, Eugene John, Krishnan Kailas, Priscila Lima, Neeraja Yadwadkar, Felipe Franca, and Lizy K. John
    ACM Transactions on Architecture and Code Optimization (TACO). (July 2026)
  • Elastic Memory Remapping for Multi-tenant LLM ServingPDF
    Ruihao Li, Shagnik Pal, Vineeth Narayan Pullu, Prasoon Sinha, Jeeho Ryoo, Lizy K. John, and Neeraja J. Yadwadkar
    SIGOPS Operating Systems Review. (July 2026)
  • From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-FlipsPDF
    Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag, Allison Seigler, Priscila M. V. Lima, Felipe M. G. Franca, and Lizy K. John
    Transactions on Machine Learning Research (TMLR) . (July 2026)
  • MetaHardware Lifecycle-Aware Power Planning in Commercial Hyperscale Datacenters (Operational Systems)PDF
    Ruihao Li, Leonardo Piga, Wei Su, Carlos Torres, Jovan Stojkovic, Neeraja J. Yadwadkar, Lizy K. John, and Abhishek Dhanotia
    Proceedings of the 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI). (July 2026)
  • Single-Round Scalable Analytic Federated LearningPDF
    Alan T. L. Bacellar, Mustafa Munir, Felipe M. G. Franca, Priscila M. V. Lima, Radu Marculescu, and Lizy K. John
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). (June 2026)
  • HELIOS: Adaptive Model And Early-Exit Selection For Efficient LLM Inference ServingPDF
    Avinash Kumar, Shashank Nag, Jason Clemons, Lizy K. John, and Poulami Das
    Conference on Machine Learning and Systems (MLSYS). (May 2026)
  • HMix : An Efficient Hardware Accelerator for Quantized MLP-Mixer InferencePDF
    Dhananjay Rao Thallikar Shyam, Shashank Nag, and Lizy K. John
    International Conference on Computing Frontiers (CF). (May 2026)
  • Arrhythmia Classification at the Edge Using a Weightless Neural Network Hardware AcceleratorPDF
    Anshul Jha, Shashank Nag, Igor D. S. Miranda, Felipe M. G. Franca, Lizy K. John, Priscila M. V. Lima, and Eugene B. John
    International Symposium on Applied Reconfigurable Computing (ARC). (April 2026)
  • Learning Based Presilicon Estimation of Design Area from Early EDA MetricsPDF
    Tarun Kholay, Anup Ashok Kedilaya, Aman Arora, Jaydeep P. Kulkarni, and Lizy K. John
    International Symposium on Applied Reconfigurable Computing (ARC). (April 2026)
  • Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree EnsemblesPDF
    Lara Sa Neves, Afonso Lourenco, Lizy K. John, and Goreti Marreiros
    Catch, Adapt, and Operate: Monitoring ML Models Under Drift (CAO) Workshop at ICLR. (April 2026)