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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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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...
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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...
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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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10/12/2022
Building Heterogeneous Cloud System for Machine Learning Inference
Online inference is becoming a key service product for many businesses, ...
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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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09/01/2022
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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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 ...
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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...
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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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12/09/2021
Bringing Atomistic Deep Learning to Prime Time
Artificial intelligence has not yet revolutionized the design of materia...
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12/06/2021
Scalable Geometric Deep Learning on Molecular Graphs
Deep learning in molecular and materials sciences is limited by the lack...
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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 ...
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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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08/25/2021
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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09/01/2020
Survey of Machine Learning Accelerators
New machine learning accelerators are being announced and released each ...
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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...
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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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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...
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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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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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01/18/2020
AI Data Wrangling with Associative Arrays
The AI revolution is data driven. AI "data wrangling" is the process by ...
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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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08/29/2019
Survey and Benchmarking of Machine Learning Accelerators
Advances in multicore processors and accelerators have opened the flood ...
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08/29/2019
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir
This work introduces TapirXLA, a replacement for TensorFlow's XLA compil...
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08/28/2019
Distributed Deep Learning for Precipitation Nowcasting
Effective training of Deep Neural Networks requires massive amounts of d...
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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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08/16/2019
Large Scale Organization and Inference of an Imagery Dataset for Public Safety
Video applications and analytics are routinely projected as a stressing ...
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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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05/08/2019
AI Enabling Technologies: A Survey
Artificial Intelligence (AI) has the opportunity to revolutionize the wa...
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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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02/03/2019
A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases
Analyzing large scale networks requires high performance streaming updat...
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08/25/2018
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud
Detecting anomalous behavior in network traffic is a major challenge due...
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08/13/2018