Siddharth Samsi
Orcid: 0009-0000-2884-9688
According to our database1,
Siddharth Samsi
authored at least 115 papers
between 2007 and 2024.
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Bibliography
2024
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data.
CoRR, 2024
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
2023
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems.
CoRR, 2023
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning.
CoRR, 2023
Proceedings of the International Conference for High Performance Computing, 2023
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems.
Proceedings of the International Conference for High Performance Computing, 2023
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023
2022
CoRR, 2022
Developing a Series of AI Challenges for the United States Department of the Air Force.
CoRR, 2022
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022
Proceedings of the Massive Graph Analytics, 2022
Proceedings of the Massive Graph Analytics, 2022
2021
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes.
CoRR, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
2020
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
75, 000, 000, 000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
CoRR, 2019
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
2018
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers.
Proceedings of the High Performance Computing, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
J. Parallel Distributed Comput., 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017
2016
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
2014
Automated nuclei clump splitting by combining local concavity orientation and graph partitioning.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2012
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry.
J. Comput. Sci., 2012
2011
Comput. Medical Imaging Graph., 2011
2010
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed.
IEEE Trans. Biomed. Eng., 2010
IEEE Signal Process. Mag., 2010
2009
Int. J. Parallel Program., 2009
2008
Experiences from Cyberinfrastructure Development for Multi-user Remote Instrumentation.
Proceedings of the Fourth International Conference on e-Science, 2008
2007
Survey of Parallel MATLAB Techniques and Applications to Signal and Image Processing.
Proceedings of the IEEE International Conference on Acoustics, 2007