Sajal Dash Research Scientist, HPC and AI Contact DASHS@ORNL.GOV All Publications Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications FORGE: Pre-Training Open Foundation Models for Science Evaluating the Cloud for Capability Class Leadership Workloads... Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks... Evaluation of pre-training large language models on leadership-class supercomputers A comparison of histopathology imaging comprehension algorithms based on multiple instance learning... Toward an Autonomous Workflow for Single Crystal Neutron Diffraction Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems Image transformers for classifying acute lymphoblastic leukemia Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary... Comparative evaluation of deep learning workloads for leadership-class systems Scaling Out a Combinatorial Algorithm for Discovering Carcinogenic Gene Combinations to Thousands of GPUs iBLAST: Incremental BLAST of new sequences via automated e-value correction Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer... Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics and AI Methods at Scale Group
