Siddharth Samsi

Orcid: 0009-0000-2884-9688

According to our database1, Siddharth Samsi authored at least 115 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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
Neural scaling of deep chemical models.
Nat. Mac. Intell., October, 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

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service.
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

Lincoln AI Computing Survey (LAICS) Update.
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


An Analysis of Energy Requirement for Computer Vision Algorithms.
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

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022
Building Heterogeneous Cloud System for Machine Learning Inference.
CoRR, 2022

Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters.
CoRR, 2022

Developing a Series of AI Challenges for the United States Department of the Air Force.
CoRR, 2022

The MIT Supercloud Workload Classification Challenge.
CoRR, 2022

GraphBLAS on the Edge: High Performance Streaming of Network Traffic.
CoRR, 2022

New Phenomena in Large-Scale Internet Traffic.
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

A Green(er) World for A.I.
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


Characterizing Multi-Instance GPU for Machine Learning Workloads.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022


Energy-aware neural architecture selection and hyperparameter optimization.
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


AI and ML Accelerator Survey and Trends.
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


Python Implementation of the Dynamic Distributed Dimensional Data Model.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Benchmarking Resource Usage for Efficient Distributed Deep Learning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022



MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Graphulo: Linear Algebra Graph Kernels.
Proceedings of the Massive Graph Analytics, 2022


2021
Bringing Atomistic Deep Learning to Prime Time.
CoRR, 2021

Scalable Geometric Deep Learning on Molecular Graphs.
CoRR, 2021

The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes.
CoRR, 2021

Supercomputing Enabled Deployable Analytics for Disaster Response.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Maneuver Identification Challenge.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021


AI Accelerator Survey and Trends.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Improved Compression for Word Embeddings by Scaling Principal Components.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Serving Machine Learning Inference Using Heterogeneous Hardware.
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

Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021


2020
AI Data Wrangling with Associative Arrays.
CoRR, 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

Benchmarking network fabrics for data distributed training of deep neural networks.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

GraphChallenge.org Triangle Counting Performance.
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

Survey of Machine Learning Accelerators.
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



GraphChallenge.org Sparse Deep Neural Network Performance.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Accuracy and Performance Comparison of Video Action Recognition Approaches.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Best of Both Worlds: High Performance Interactive and Batch Launching.
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
AI Enabling Technologies: A Survey.
CoRR, 2019

A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases.
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

Distributed Deep Learning for Precipitation Nowcasting.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Survey and Benchmarking of Machine Learning Accelerators.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019


Large Scale Organization and Inference of an Imagery Dataset for Public Safety.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Sparse Deep Neural Network Graph Challenge.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Large Scale Parallelization Using File-Based Communications.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Optimizing Xeon Phi for Interactive Data Analysis.
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

Design, Generation, and Validation of Extreme Scale Power-Law Graphs.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Large-Scale Bayesian Kinship Analysis.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

GraphChallenge.org: Raising the Bar on Graph Analytic Performance.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018


Sparse Deep Neural Network Exact Solutions.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Colorization of H&E stained tissue using Deep Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Learning by doing, High Performance Computing education in the MOOC era.
J. Parallel Distributed Comput., 2017

Static Graph Challenge: Subgraph Isomorphism.
CoRR, 2017

D4M 3.0.
CoRR, 2017

Automated dense neuronal fiber tracing and connectivity mapping at cellular level.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A linear algebra approach to fast DNA mixture analysis using GPUs.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Static graph challenge: Subgraph isomorphism.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

MIT SuperCloud portal workspace: Enabling HPC web application deployment.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

D4M 3.0: Extended database and language capabilities.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Streaming graph challenge: Stochastic block partition.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Performance measurements of supercomputing and cloud storage solutions.
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
Benchmarking SciDB Data Import on HPC Systems.
CoRR, 2016


Enhancing HPC security with a user-based firewall.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Associative array model of SQL, NoSQL, and NewSQL databases.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Scalability of VM provisioning systems.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2014
Parallel MATLAB Techniques.
CoRR, 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
Automatic detection of follicular regions in H&E images using iterative shape index.
Comput. Medical Imaging Graph., 2011

2010
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed.
IEEE Trans. Biomed. Eng., 2010

MATLAB for Signal Processing on Multiprocessors and Multicores.
IEEE Signal Process. Mag., 2010

2009
A Computational Science IDE for HPC Systems: Design and Applications.
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


  Loading...