Publications

• Prolego: Time-Series Analysis for Predicting Failures in Complex Systems
  Anwesha Das and Alex Aiken [ACSOS'23]   [PDF]  
[IEEE International Conference on Autonomic Computing and Self-Organizing Systems]


• Performance Variability and Causality in Complex Systems
  Anwesha Das, Daniel Ratner, Alex Aiken [ACSOS'22]   [PDF]  
[IEEE International Conference on Autonomic Computing and Self-Organizing Systems]


• Anomaly Detection in Accelerator Facilities Using Machine Learning
  Anwesha Das, Daniel Ratner, Michael Borland, Louis Emery, Xiaobiao Huang, Hairong Shang, Guobao Shen, Reid Smith, Guimei Wang
  [International Particle Accelerator Conference, IPAC'21]   [PDF]


• Systemic Assessment of Node Failures in Production HPC Platforms
  Anwesha Das, Frank Mueller, Barry Rountree [IPDPS'21]   [PDF]  
[IEEE International Parallel and Distributed Processing Symposium]


• Aarohi: Making Real-time Node Failure Prediction Feasible
  Anwesha Das, Frank Mueller, Barry Rountree [IPDPS'20]   [PDF]  
[IEEE International Parallel and Distributed Processing Symposium]


• Holistic Root Cause Analysis of Node Failures in Production HPC
  Anwesha Das, Frank Mueller
  [ ACM SRC at Supercomputing, SC'18]   [PDF] [Poster]


• Aarohi: Efficient Online Failure Prediction
  Anwesha Das, Frank Mueller
  [ACM SRC at ASPLOS'18]   [PDF]


• Desh: Deep Learning for System Health Prediction of Lead Times to Failure in HPC
  Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu [HPDC'18]   [PDF]
[ACM High-Performance Parallel and Distributed Computing]


• Doomsday: Predicting Which Node Will Fail When on Supercomputers
  Anwesha Das, Frank Mueller, Paul Hargrove, Eric Roman, Scott Baden [SC'18]   [PDF]  
[ACM/IEEE The International Conference for High Performance Computing, Networking, Storage, and Analysis]


• KeyValueServe: Design and Performance Analysis of a Multi-Tenant Data Grid as a Cloud Service
  Anwesha Das, Arun Iyengar, Frank Mueller [CCPE'18, Concurrency and Computation: Practice and Experience]   [PDF]


• Desh: Deep Learning for HPC System Health Resilience
  Anwesha Das, Abhinav Vishnu, Charles Siegel, Frank Mueller
  [Supercomputing, SC'17]   [PDF] [Poster]


• Pin-Pointing Node Failures in HPC Systems
  Anwesha Das, Frank Mueller, Paul Hargrove, Eric Roman
  [Supercomputing, SC'16]   [PDF] [Poster]


• Performance Analysis of a Multi-Tenant In-memory Data Grid
  Anwesha Das, Frank Mueller, Xiaohui Gu, Arun Iyengar [IEEE Cloud 2016]   [PDF]


• Dynamic Resource Management using Virtual Machine Migrations
  Mayank Mishra, Anwesha Das, Purushottam Kulkarni, Anirudha Sahoo [IEEE Commun. Mag. 2012]   [PDF]