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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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01/27/2023
A Green(er) World for A.I
As research and practice in artificial intelligence (A.I.) grow in leaps...
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10/08/2022
AI and ML Accelerator Survey and Trends
This paper updates the survey of AI accelerators and processors from pas...
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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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09/12/2022
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...
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09/07/2022
Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic
Modern network sensors continuously produce enormous quantities of raw d...
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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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01/28/2022
Benchmarking Resource Usage for Efficient Distributed Deep Learning
Deep learning (DL) workflows demand an ever-increasing budget of compute...
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01/16/2022
Zero Botnets: An Observe-Pursue-Counter Approach
Adversarial Internet robots (botnets) represent a growing threat to the ...
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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...
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10/04/2021
Realizing Forward Defense in the Cyber Domain
With the recognition of cyberspace as an operating domain, concerted eff...
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09/18/2021
AI Accelerator Survey and Trends
Over the past several years, new machine learning accelerators were bein...
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09/09/2021
3D Real-Time Supercomputer Monitoring
Supercomputers are complex systems producing vast quantities of performa...
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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
Maneuver Identification Challenge
AI algorithms that identify maneuvers from trajectory data could play an...
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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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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...
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05/09/2021
Discomfort: a New Material for Interaction Design
This paper proposes discomfort as a new material for HCI researchers and...
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12/07/2020
Model Compression Using Optimal Transport
Model compression methods are important to allow for easier deployment o...
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12/05/2020
Multi-head Knowledge Distillation for Model Compression
Several methods of knowledge distillation have been developed for neural...
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12/05/2020
Knowledge Distillation Thrives on Data Augmentation
Knowledge distillation (KD) is a general deep neural network training fr...
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09/01/2020
Survey of Machine Learning Accelerators
New machine learning accelerators are being announced and released each ...
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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...
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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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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...
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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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04/06/2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
Modern face alignment methods have become quite accurate at predicting t...
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03/25/2020
GraphChallenge.org Sparse Deep Neural Network Performance
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
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03/18/2020
GraphChallenge.org Triangle Counting Performance
The rise of graph analytic systems has created a need for new ways to me...
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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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09/02/2019
Sparse Deep Neural Network Graph Challenge
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
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08/29/2019
Survey and Benchmarking of Machine Learning Accelerators
Advances in multicore processors and accelerators have opened the flood ...
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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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07/06/2019
Optimizing Xeon Phi for Interactive Data Analysis
The Intel Xeon Phi manycore processor is designed to provide high perfor...
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07/06/2019
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M
The Dynamic Distributed Dimensional Data Model (D4M) library implements ...
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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...
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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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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...
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08/13/2018
