b'Andrew Prout'

research

∙ 09/07/2023

pPython Performance Study

pPython seeks to provide a parallel capability that provides good speed-...

0 Chansup Byun, et al. ∙

research

∙ 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. ...

0 Jeremy Kepner, et al. ∙

research

∙ 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...

0 Michael Jones, et al. ∙

research

∙ 01/27/2023

A Green(er) World for A.I

As research and practice in artificial intelligence (A.I.) grow in leaps...

0 Dan Zhao, et al. ∙

research

∙ 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...

0 Tyler Trigg, et al. ∙

research

∙ 09/12/2022

An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning

In this paper we address the application of pre-processing techniques to...

0 Matthew L Weiss, et al. ∙

research

∙ 09/01/2022

Python Implementation of the Dynamic Distributed Dimensional Data Model

Python has become a standard scientific computing language with fast-gro...

0 Hayden Jananthan, et al. ∙

research

∙ 08/31/2022

pPython for Parallel Python Programming

pPython seeks to provide a parallel capability that provides good speed-...

0 Chansup Byun, et al. ∙

research

∙ 04/12/2022

The MIT Supercloud Workload Classification Challenge

High-Performance Computing (HPC) centers and cloud providers support an ...

0 Benny J. Tang, et al. ∙

research

∙ 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...

0 Michael Jones, et al. ∙

research

∙ 03/19/2022

Temporal Correlation of Internet Observatories and Outposts

The Internet has become a critical component of modern civilization requ...

0 Jeremy Kepner, et al. ∙

research

∙ 01/16/2022

Zero Botnets: An Observe-Pursue-Counter Approach

Adversarial Internet robots (botnets) represent a growing threat to the ...

0 Jeremy Kepner, et al. ∙

research

∙ 08/26/2021

Supercomputing Enabled Deployable Analytics for Disaster Response

First responders and other forward deployed essential workers can benefi...

0 Kaira Samuel, et al. ∙

research

∙ 08/25/2021

Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs

Diverse workloads such as interactive supercomputing, big data analysis,...

0 Chansup Byun, et al. ∙

research

∙ 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...

0 Jeremy Kepner, et al. ∙

research

∙ 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...

0 Jeremy Kepner, et al. ∙

research

∙ 08/04/2021

The MIT Supercloud Dataset

Artificial intelligence (AI) and Machine learning (ML) workloads are an ...

0 Siddharth Samsi, et al. ∙

research

∙ 08/20/2020

Accuracy and Performance Comparison of Video Action Recognition Approaches

Over the past few years, there has been significant interest in video ac...

6 Matthew Hutchinson, et al. ∙

research

∙ 08/18/2020

Benchmarking network fabrics for data distributed training of deep neural networks

Artificial Intelligence/Machine Learning applications require the traini...

0 Siddharth Samsi, et al. ∙

research

∙ 08/05/2020

Best of Both Worlds: High Performance Interactive and Batch Launching

Rapid launch of thousands of jobs is essential for effective interactive...

0 Chansup Byun, et al. ∙

research

∙ 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...

0 Jeremy Kepner, et al. ∙

research

∙ 05/06/2020

Fast Mapping onto Census Blocks

Pandemic measures such as social distancing and contact tracing can be e...

0 Jeremy Kepner, et al. ∙

research

∙ 01/20/2020

75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices

The SuiteSparse GraphBLAS C-library implements high performance hyperspa...

0 Jeremy Kepner, et al. ∙

research

∙ 09/03/2019

Large Scale Parallelization Using File-Based Communications

In this paper, we present a novel and new file-based communication archi...

0 Chansup Byun, et al. ∙

research

∙ 08/20/2019

Securing HPC using Federated Authentication

Federated authentication can drastically reduce the overhead of basic ac...

0 Andrew Prout, et al. ∙

research

∙ 07/06/2019

Optimizing Xeon Phi for Interactive Data Analysis

The Intel Xeon Phi manycore processor is designed to provide high perfor...

0 Chansup Byun, et al. ∙

research

∙ 07/06/2019

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

The Dynamic Distributed Dimensional Data Model (D4M) library implements ...

0 Jeremy Kepner, et al. ∙

research

∙ 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...

0 Julia Mullen, et al. ∙

research

∙ 02/03/2019

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

Analyzing large scale networks requires high performance streaming updat...

0 Jeremy Kepner, et al. ∙

research

∙ 08/25/2018

Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud

Detecting anomalous behavior in network traffic is a major challenge due...

0 Vijay Gadepally, et al. ∙

research

∙ 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 ...

0 Michael Jones, et al. ∙

research

∙ 07/23/2018

Measuring the Impact of Spectre and Meltdown

The Spectre and Meltdown flaws in modern microprocessors represent a new...

0 Andrew Prout, et al. ∙

research

∙ 07/20/2018

Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

Interactive massively parallel computations are critical for machine lea...

0 Albert Reuther, et al. ∙

research

∙ 03/04/2018

Design, Generation, and Validation of Extreme Scale Power-Law Graphs

Massive power-law graphs drive many fields: metagenomics, brain mapping,...

0 Jeremy Kepner, et al. ∙

research

∙ 08/01/2017

Performance Measurements of Supercomputing and Cloud Storage Solutions

Increasing amounts of data from varied sources, particularly in the fiel...

0 Michael Jones, et al. ∙

research

∙ 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...

0 Chansup Byun, et al. ∙

research

∙ 09/24/2016

Benchmarking SciDB Data Import on HPC Systems

SciDB is a scalable, computational database management system that uses ...

0 Siddharth Samsi, et al. ∙

Andrew Prout

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