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09/07/2023
pPython Performance Study
pPython seeks to provide a parallel capability that provides good speed-...
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09/04/2023
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices
Defending community-owned cyber space requires community-based efforts. ...
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09/04/2023
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays
Matrix/array analysis of networks can provide significant insight into t...
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04/10/2023
ESID: A Visual Analytics Tool to Epidemiological Emergencies
Visual analysis tools can help illustrate the spread of infectious disea...
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09/13/2022
Hypersparse Network Flow Analysis of Packets with GraphBLAS
Internet analysis is a major challenge due to the volume and rate of net...
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09/01/2022
Python Implementation of the Dynamic Distributed Dimensional Data Model
Python has become a standard scientific computing language with fast-gro...
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08/31/2022
pPython for Parallel Python Programming
pPython seeks to provide a parallel capability that provides good speed-...
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04/12/2022
The MIT Supercloud Workload Classification Challenge
High-Performance Computing (HPC) centers and cloud providers support an ...
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03/25/2022
GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic
Long range detection is a cornerstone of defense in many operating domai...
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03/19/2022
Temporal Correlation of Internet Observatories and Outposts
The Internet has become a critical component of modern civilization requ...
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08/26/2021
Supercomputing Enabled Deployable Analytics for Disaster Response
First responders and other forward deployed essential workers can benefi...
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08/25/2021
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs
Diverse workloads such as interactive supercomputing, big data analysis,...
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08/15/2021
Spatial Temporal Analysis of 40,000,000,000,000 Internet Darkspace Packets
The Internet has never been more important to our society, and understan...
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08/15/2021
Vertical, Temporal, and Horizontal Scaling of Hierarchical Hypersparse GraphBLAS Matrices
Hypersparse matrices are a powerful enabler for a variety of network, he...
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08/04/2021
The MIT Supercloud Dataset
Artificial intelligence (AI) and Machine learning (ML) workloads are an ...
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08/18/2020
Benchmarking network fabrics for data distributed training of deep neural networks
Artificial Intelligence/Machine Learning applications require the traini...
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08/05/2020
Best of Both Worlds: High Performance Interactive and Batch Launching
Rapid launch of thousands of jobs is essential for effective interactive...
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08/01/2020
Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
Our society has never been more dependent on computer networks. Effectiv...
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05/06/2020
Fast Mapping onto Census Blocks
Pandemic measures such as social distancing and contact tracing can be e...
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01/20/2020
75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices
The SuiteSparse GraphBLAS C-library implements high performance hyperspa...
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09/03/2019
Large Scale Parallelization Using File-Based Communications
In this paper, we present a novel and new file-based communication archi...
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08/20/2019
Securing HPC using Federated Authentication
Federated authentication can drastically reduce the overhead of basic ac...
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03/05/2019
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers
For decades, the use of HPC systems was limited to those in the physical...
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08/13/2018
Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer
Simulation, machine learning, and data analysis require a wide range of ...
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07/23/2018
Measuring the Impact of Spectre and Meltdown
The Spectre and Meltdown flaws in modern microprocessors represent a new...
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07/20/2018
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis
Interactive massively parallel computations are critical for machine lea...
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03/04/2018
Design, Generation, and Validation of Extreme Scale Power-Law Graphs
Massive power-law graphs drive many fields: metagenomics, brain mapping,...
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07/12/2017
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor
Knights Landing (KNL) is the code name for the second-generation Intel X...
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09/24/2016