Michael Jones

Orcid: 0009-0005-8066-5620

Affiliations:
  • MIT Lincoln Laboratory Supercomputing Center, Lexington, MA, USA


According to our database1, Michael Jones authored at least 87 papers between 2016 and 2024.

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Bibliography

2024
GPU Sharing with Triples Mode.
CoRR, 2024

LLload: An Easy-to-Use HPC Utilization Tool.
CoRR, 2024

Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring.
CoRR, 2024

Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS.
CoRR, 2024

HPC with Enhanced User Separation.
CoRR, 2024

Anonymized Network Sensing Graph Challenge.
CoRR, 2024

What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic.
CoRR, 2024

LLload: Simplifying Real-Time Job Monitoring for HPC Users.
CoRR, 2024

LLload: Simplifying Real-Time Job Monitoring for HPC Users.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Teaching Network Traffic Matrices in an Interactive Game Environment.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023
Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU.
CoRR, 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



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

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

Zero Botnets: An Observe-Pursue-Counter Approach.
CoRR, 2022

A Green(er) World for A.I.
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

Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic.
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




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

Realizing Forward Defense in the Cyber Domain.
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
Fast Mapping onto Census Blocks.
CoRR, 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

2019
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases.
CoRR, 2019

Survey and Benchmarking of Machine Learning Accelerators.
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
Scalable system scheduling for HPC and big data.
J. Parallel Distributed Comput., 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

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


TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines.
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

Simulation Approach to Sensor Placement Using Unity 3D.
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
Static Graph Challenge: Subgraph Isomorphism.
CoRR, 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

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


Scheduler technologies in support of high performance data analysis.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Enhancing HPC security with a user-based firewall.
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


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