research
∙
09/07/2023
pPython Performance Study
pPython seeks to provide a parallel capability that provides good speed-...
share
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. ...
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...
research
∙
06/22/2023
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems
The rapid growth in demand for HPC systems has led to a rise in energy c...
research
∙
04/19/2023
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning
This paper presents a solution to the challenge of mitigating carbon emi...
research
∙
01/27/2023
A Green(er) World for A.I
As research and practice in artificial intelligence (A.I.) grow in leaps...
research
∙
10/12/2022
Building Heterogeneous Cloud System for Machine Learning Inference
Online inference is becoming a key service product for many businesses, ...
research
∙
10/08/2022
AI and ML Accelerator Survey and Trends
This paper updates the survey of AI accelerators and processors from pas...
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...
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...
research
∙
09/01/2022
Python Implementation of the Dynamic Distributed Dimensional Data Model
Python has become a standard scientific computing language with fast-gro...
research
∙
08/31/2022
pPython for Parallel Python Programming
pPython seeks to provide a parallel capability that provides good speed-...
research
∙
08/12/2022
SeeSaw: interactive ad-hoc search over image databases
As image datasets become ubiquitous, the problem of ad-hoc searches over...
research
∙
07/23/2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances
Deep learning model inference is a key service in many businesses and sc...
research
∙
07/23/2022
MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems for Machine Learning
GPU technology has been improving at an expedited pace in terms of size ...
research
∙
07/14/2022
Developing a Series of AI Challenges for the United States Department of the Air Force
Through a series of federal initiatives and orders, the U.S. Government ...
research
∙
05/19/2022
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models
The energy requirements of current natural language processing models co...
research
∙
04/12/2022
The MIT Supercloud Workload Classification Challenge
High-Performance Computing (HPC) centers and cloud providers support an ...
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...
research
∙
03/19/2022
Temporal Correlation of Internet Observatories and Outposts
The Internet has become a critical component of modern civilization requ...
research
∙
01/28/2022
Benchmarking Resource Usage for Efficient Distributed Deep Learning
Deep learning (DL) workflows demand an ever-increasing budget of compute...
research
∙
01/28/2022
FastFlows: Flow-Based Models for Molecular Graph Generation
We propose a framework using normalizing-flow based models, SELF-Referen...
research
∙
01/16/2022
Zero Botnets: An Observe-Pursue-Counter Approach
Adversarial Internet robots (botnets) represent a growing threat to the ...
research
∙
12/09/2021
Bringing Atomistic Deep Learning to Prime Time
Artificial intelligence has not yet revolutionized the design of materia...
research
∙
12/06/2021
Scalable Geometric Deep Learning on Molecular Graphs
Deep learning in molecular and materials sciences is limited by the lack...
research
∙
11/13/2021
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes
Traditional frequency based projection filters, or projection operators ...
research
∙
10/04/2021
Realizing Forward Defense in the Cyber Domain
With the recognition of cyberspace as an operating domain, concerted eff...
research
∙
09/18/2021
AI Accelerator Survey and Trends
Over the past several years, new machine learning accelerators were bein...
research
∙
09/09/2021
3D Real-Time Supercomputer Monitoring
Supercomputers are complex systems producing vast quantities of performa...
research
∙
08/26/2021
Supercomputing Enabled Deployable Analytics for Disaster Response
First responders and other forward deployed essential workers can benefi...
research
∙
08/25/2021
Maneuver Identification Challenge
AI algorithms that identify maneuvers from trajectory data could play an...
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,...
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...
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...
research
∙
08/04/2021
The MIT Supercloud Dataset
Artificial intelligence (AI) and Machine learning (ML) workloads are an ...
research
∙
03/28/2021
Mathematics of Digital Hyperspace
Social media, e-commerce, streaming video, e-mail, cloud documents, web ...
research
∙
03/02/2021
Technical Report on Data Integration and Preparation
AI application developers typically begin with a dataset of interest and...
research
∙
10/13/2020
Video Action Understanding: A Tutorial
Many believe that the successes of deep learning on image understanding ...
research
∙
09/01/2020
Survey of Machine Learning Accelerators
New machine learning accelerators are being announced and released each ...
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...
research
∙
08/18/2020
Benchmarking network fabrics for data distributed training of deep neural networks
Artificial Intelligence/Machine Learning applications require the traini...
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...
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...
research
∙
07/21/2020
DBOS: A Proposal for a Data-Centric Operating System
Current operating systems are complex systems that were designed before ...
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...
research
∙
05/19/2020
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling
Capturing and processing video is increasingly common as cameras become ...
research
∙
05/06/2020
Fast Mapping onto Census Blocks
Pandemic measures such as social distancing and contact tracing can be e...
research
∙
04/01/2020
Technical Report: Developing a Working Data Hub
Data forms a key component of any enterprise. The need for high quality ...
research
∙
03/25/2020
GraphChallenge.org Sparse Deep Neural Network Performance
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
research
∙
03/18/2020