b'Michael Jones'

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

∙ 10/08/2022

AI and ML Accelerator Survey and Trends

This paper updates the survey of AI accelerators and processors from pas...

0 Albert Reuther, 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

∙ 09/07/2022

Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic

Modern network sensors continuously produce enormous quantities of raw d...

0 Ivan Kawaminami, 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

∙ 01/28/2022

Benchmarking Resource Usage for Efficient Distributed Deep Learning

Deep learning (DL) workflows demand an ever-increasing budget of compute...

0 Nathan C. Frey, 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

∙ 11/20/2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution

The distribution gap between training datasets and data encountered in p...

0 Wenpeng Yin, et al. ∙

research

∙ 10/04/2021

Realizing Forward Defense in the Cyber Domain

With the recognition of cyberspace as an operating domain, concerted eff...

0 Sandeep Pisharody, et al. ∙

research

∙ 09/18/2021

AI Accelerator Survey and Trends

Over the past several years, new machine learning accelerators were bein...

0 Albert Reuther, et al. ∙

research

∙ 09/09/2021

3D Real-Time Supercomputer Monitoring

Supercomputers are complex systems producing vast quantities of performa...

0 Bill Bergeron, 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

Maneuver Identification Challenge

AI algorithms that identify maneuvers from trajectory data could play an...

6 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

∙ 07/28/2021

To Boost or not to Boost: On the Limits of Boosted Neural Networks

Boosting is a method for finding a highly accurate hypothesis by linearl...

0 Sai Saketh Rambhatla, et al. ∙

research

∙ 05/09/2021

Discomfort: a New Material for Interaction Design

This paper proposes discomfort as a new material for HCI researchers and...

0 m. c. schraefel, et al. ∙

research

∙ 12/07/2020

Model Compression Using Optimal Transport

Model compression methods are important to allow for easier deployment o...

0 Suhas Lohit, et al. ∙

research

∙ 12/05/2020

Multi-head Knowledge Distillation for Model Compression

Several methods of knowledge distillation have been developed for neural...

0 Huan Wang, et al. ∙

research

∙ 12/05/2020

Knowledge Distillation Thrives on Data Augmentation

Knowledge distillation (KD) is a general deep neural network training fr...

0 Huan Wang, et al. ∙

research

∙ 09/01/2020

Survey of Machine Learning Accelerators

New machine learning accelerators are being announced and released each ...

0 Albert Reuther, et al. ∙

research

∙ 08/18/2020

Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training

Deep neural networks have shown great success in many diverse fields. Th...

0 Siddharth Samsi, 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

∙ 07/14/2020

Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid

A Multigrid Full Approximation Storage algorithm for solving Deep Residu...

3 Andrew C. Kirby, 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

∙ 04/06/2020

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

Modern face alignment methods have become quite accurate at predicting t...

9 Abhinav Kumar, et al. ∙

research

∙ 03/25/2020

GraphChallenge.org Sparse Deep Neural Network Performance

The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...

0 Jeremy Kepner, et al. ∙

research

∙ 03/18/2020

GraphChallenge.org Triangle Counting Performance

The rise of graph analytic systems has created a need for new ways to me...

0 Siddharth Samsi, 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

∙ 09/02/2019

Sparse Deep Neural Network Graph Challenge

The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...

0 Jeremy Kepner, et al. ∙

research

∙ 08/29/2019

Survey and Benchmarking of Machine Learning Accelerators

Advances in multicore processors and accelerators have opened the flood ...

0 Albert Reuther, 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

∙ 03/26/2019

Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network

Face super-resolution methods usually aim at producing visually appealin...

14 Esra Ataer-Cansizoglu, 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

∙ 02/15/2019

Street Scene: A new dataset and evaluation protocol for video anomaly detection

Progress in video anomaly detection research is currently slowed by smal...

12 Bharathkumar Ramachandra, 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. ∙

Michael Jones

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