Anwesha Das
Post-Doctoral Scholar
The University of Chicago
Contact: anweshaa AT uchicago.edu
I am a Computer Science Post-Doc at UChicago.
My general research interests are in reliability and performance of systems.
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Publications
- Performance Variability and Causality in Complex Systems
Anwesha Das, Daniel Ratner, and Alex Aiken. [ACSOS'22]
[PDF]
[IEEE International Conference on Autonomic Computing and Self-Organizing Systems]
- Systemic Assessment of Node Failures in Production HPC Platforms
Anwesha Das, Frank Mueller, and Barry Rountree. [IPDPS'21, Acceptance Rate: 22.7%]
[PDF]
[IEEE International Parallel and Distributed Processing Symposium]
- Aarohi: Making Real-time Node Failure Prediction Feasible
Anwesha Das, Frank Mueller, and Barry Rountree. [IPDPS'20, Acceptance Rate: 24.66%]
[PDF]
[IEEE International Parallel and Distributed Processing Symposium]
- Desh: Deep Learning for System Health Prediction of Lead Times to Failure in HPC
Anwesha Das, Frank Mueller, Charles Siegel, and Abhinav Vishnu. [HPDC'18, Acceptance Rate: 19.64%]
[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, and Scott Baden. [SC'18, Acceptance Rate: 23.6%]
[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, and Frank Mueller. [CCPE'18, Concurrency and Computation: Practice and Experience 2018]
[PDF]
- Performance Analysis of a Multi-Tenant In-memory Data Grid
Anwesha Das, Frank Mueller, Xiaohui Gu, and Arun Iyengar. [IEEE Cloud 2016]
[PDF]
- Dynamic Resource Management using Virtual Machine Migrations
Mayank Mishra, Anwesha Das, Purushottam Kulkarni, and Anirudha Sahoo. [IEEE Communications Magazine 2012]
[PDF]
Short Papers and Posters in Peer-Reviewed Conference Proceedings
- Anomaly Detection in Accelerator Facilities Using Machine Learning
Anwesha Das, Daniel Ratner, M. Borland, L. Emery, X. Huang, H. Shang, G. Shen, R. Smith, and G. Wang.
[International Particle Accelerator Conference, IPAC'21]
[PDF]
- 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 Architectural Support for
Programming Languages and Operating Systems, ASPLOS'18]
[PDF]
[Poster]
- 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]
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