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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
Exploration for Multi-task Reinforcement Learning with Deep Generative Models
Published in Deep Reinforcement Learning Workshop, Neural Information Processing Systems, 2016
Recommended citation: Sai Praveen Bangaru, JS Suhas and Balaraman Ravindran. Exploration for Multi-task Reinforcement Learning with Deep Generative Models. In Neural Information Processing Systems Deep Reinforcement Learning Workshop, 2016. https://arxiv.org/abs/1611.09894
BLAS-on-flash: an alternative for training large ML models?
Published in Systems for Machine Learning Conference, 2018
Recommended citation: Suhas Jayaram Subramanya, Srajan Garg, and Harsha Vardhan Simhadri. "BLAS-on-flash: an alternative for training large ML models?." /files/sysml18.pdf
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?
Published in 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2019
Code available at https://github.com/Microsoft/blas-on-flash
Recommended citation: Suhas Jayaram Subramanya, et al. "BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?." 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19). USENIX Association. /files/blas-on-flash-nsdi19.pdf
DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node
Published in Neural Information Processing Systems (NeurIPS), 2019
Code available at https://github.com/microsoft/DiskANN
Recommended citation: Suhas Jayaram Subramanya, Devvrit, Rohan Kadekodi, Harsha Vardhan Simhadri, and Ravishankar Krishaswamy. "DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node". In *Advances in Neural Information Processing Systems (NeurIPS) 2019* /files/diskann_neurips19.pdf
PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy
Published in Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) 2020, 2020
Code available at https://github.com/thesys-lab/pacemaker-hdfs
Recommended citation: Kadekodi S, Maturana F, Subramanya SJ, Yang J, Rashmi KV, Ganger GR. PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy. In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) 2020 (pp. 369-385). /files/pacemaker-osdi20.pdf
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search
Published in ArXiv, 2021
Code available at https://github.com/Microsoft/DiskANN
Recommended citation: Singh A, Subramanya SJ, Krishnaswamy R, Simhadri HV. FreshDiskANN: A fast and accurate graph-based ann index for streaming similarity search. arXiv preprint arXiv:2105.09613. 2021 May 20. /files/freshdiskann-arxiv.pdf
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Published in Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21) 2021, 2021
This paper won the Best Paper Award at OSDI 2021. Code available at https://github.com/petuum/adaptdl/tree/osdi21-artifact.
Recommended citation: Qiao A, Choe SK, Subramanya SJ, Neiswanger W, Ho Q, Zhang H, Ganger GR, Xing EP. Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning. In 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21) 2021. /files/pollux-osdi.pdf
Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling
Published in Proceedings of the 29th Symposium on Operating Systems Principles (SOSP 23), 2023
Artifacts available at https://github.com/siasosp23/artifacts
Recommended citation: Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, and Gregory R. Ganger. 2023. Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. In Proceedings of the 29th Symposium on Operating Systems Principles (SOSP 23). Association for Computing Machinery, New York, NY, USA, 642–657. https://doi.org/10.1145/3600006.3613175 /files/sia-sosp23.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant - Introduction to Machine Learning
Massive Open Online Course (MOOC) - NPTEL, Computer Science & Engineering, Indian Institute of Technology Madras, 2017
Instructor - Prof. Balaraman Ravindran
- Prepared quizzes, assignments and exams for over 6000 registered students
- Course contents now archived to allow others to take the course at their own pace
- Course Duration - 4 Months (Jan, 2017 - April, 2017)
Teaching Assistant - Storage Systems (15/18-746)
Graduate Course, Carnegie Mellon University, 2021
Instructors - Prof. Greg Ganger and Prof. George Amvrosiadis
- Lead TA for projects, contributed to quizzes and exams for over 100 graduate students
Teaching Assistant - Advanced Cloud Computing (15/18-719)
Graduate Course, Carnegie Mellon University, 2024
Instructors - Prof. Greg Ganger and Prof. Majd Sakr
- Lead TA for cloud-scheduling project using Kubernetes, contributed to quizzes and exams for over 100 graduate students