Vijay Gadepally

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

∙ 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...

0 Baolin Li, et al. ∙

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...

0 Baolin Li, 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

∙ 10/12/2022

Building Heterogeneous Cloud System for Machine Learning Inference

Online inference is becoming a key service product for many businesses, ...

0 Baolin Li, 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

∙ 09/01/2022

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

∙ 08/12/2022

SeeSaw: interactive ad-hoc search over image databases

As image datasets become ubiquitous, the problem of ad-hoc searches over...

0 Oscar Moll, et al. ∙

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...

0 Baolin Li, et al. ∙

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 ...

0 Baolin Li, et al. ∙

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 ...

5 Vijay Gadepally, et al. ∙

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...

0 Joseph McDonald, 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

∙ 01/28/2022

FastFlows: Flow-Based Models for Molecular Graph Generation

We propose a framework using normalizing-flow based models, SELF-Referen...

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

∙ 12/09/2021

Bringing Atomistic Deep Learning to Prime Time

Artificial intelligence has not yet revolutionized the design of materia...

21 Nathan C. Frey, et al. ∙

research

∙ 12/06/2021

Scalable Geometric Deep Learning on Molecular Graphs

Deep learning in molecular and materials sciences is limited by the lack...

3 Nathan C. Frey, et al. ∙

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 ...

0 Matthew L Weiss, 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

∙ 03/28/2021

Mathematics of Digital Hyperspace

Social media, e-commerce, streaming video, e-mail, cloud documents, web ...

0 Jeremy Kepner, et al. ∙

research

∙ 03/02/2021

Technical Report on Data Integration and Preparation

AI application developers typically begin with a dataset of interest and...

0 El Kindi Rezig, et al. ∙

research

∙ 10/13/2020

Video Action Understanding: A Tutorial

Many believe that the successes of deep learning on image understanding ...

3 Matthew Hutchinson, 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

∙ 08/20/2020

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

∙ 07/21/2020

DBOS: A Proposal for a Data-Centric Operating System

Current operating systems are complex systems that were designed before ...

0 Michael Cafarella, 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

∙ 05/19/2020

ExSample: Efficient Searches on Video Repositories through Adaptive Sampling

Capturing and processing video is increasingly common as cameras become ...

0 Oscar Moll, 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

∙ 04/01/2020

Technical Report: Developing a Working Data Hub

Data forms a key component of any enterprise. The need for high quality ...

0 Vijay Gadepally, 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. ∙

Vijay Gadepally

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