
Fast Mapping onto Census Blocks
Pandemic measures such as social distancing and contact tracing can be e...
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Technical Report: Developing a Working Data Hub
Data forms a key component of any enterprise. The need for high quality ...
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GraphChallenge.org Sparse Deep Neural Network Performance
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
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GraphChallenge.org Triangle Counting Performance
The rise of graph analytic systems has created a need for new ways to me...
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75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices
The SuiteSparse GraphBLAS Clibrary implements high performance hyperspa...
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AI Data Wrangling with Associative Arrays
The AI revolution is data driven. AI "data wrangling" is the process by ...
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Large Scale Parallelization Using FileBased Communications
In this paper, we present a novel and new filebased communication archi...
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Sparse Deep Neural Network Graph Challenge
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
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Survey and Benchmarking of Machine Learning Accelerators
Advances in multicore processors and accelerators have opened the flood ...
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Securing HPC using Federated Authentication
Federated authentication can drastically reduce the overhead of basic ac...
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Optimizing Xeon Phi for Interactive Data Analysis
The Intel Xeon Phi manycore processor is designed to provide high perfor...
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Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M
The Dynamic Distributed Dimensional Data Model (D4M) library implements ...
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AI Enabling Technologies: A Survey
Artificial Intelligence (AI) has the opportunity to revolutionize the wa...
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RedisGraph GraphBLAS Enabled Graph Database
RedisGraph is a Redis module developed by Redis Labs to add graph databa...
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RadiXNet: Structured Sparse Matrices for Deep Neural Networks
The sizes of deep neural networks (DNNs) are rapidly outgrowing the capa...
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New Phenomena in LargeScale Internet Traffic
The Internet is transforming our society, necessitating a quantitative u...
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Lessons Learned from a Decade of Providing Interactive, OnDemand 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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Scaling Big Data Platform for Big Data Pipeline
Monitoring and Managing High Performance Computing (HPC) systems and env...
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A Billion Updates per Second Using 30,000 Hierarchical InMemory D4M Databases
Analyzing large scale networks requires high performance streaming updat...
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Pruned and Structurally Sparse Neural Networks
Advances in designing and training deep neural networks have led to the ...
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Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering
Extended Kalman Filtering (EKF) can be used to propagate and quantify in...
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Neural Network Topologies for Sparse Training
The sizes of deep neural networks (DNNs) are rapidly outgrowing the capa...
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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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Database Operations in D4M.jl
Each step in the data analytics pipeline is important, including databas...
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Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer
Simulation, machine learning, and data analysis require a wide range of ...
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Measuring the Impact of Spectre and Meltdown
The Spectre and Meltdown flaws in modern microprocessors represent a new...
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Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis
Interactive massively parallel computations are critical for machine lea...
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TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
The rise in computing hardware choices is driving a reevaluation of oper...
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Sparse Deep Neural Network Exact Solutions
Deep neural networks (DNNs) have emerged as key enablers of machine lear...
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GraphChallenge.org: Raising the Bar on Graph Analytic Performance
The rise of graph analytic systems has created a need for new ways to me...
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On LargeScale Graph Generation with Validation of Diverse Triangle Statistics at Edges and Vertices
Researchers developing implementations of distributed graph analytic alg...
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Design, Generation, and Validation of Extreme Scale PowerLaw Graphs
Massive powerlaw graphs drive many fields: metagenomics, brain mapping,...
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Polystore Mathematics of Relational Algebra
Financial transactions, internet search, and data analysis are all placi...
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Streaming Graph Challenge: Stochastic Block Partition
An important objective for analyzing realworld graphs is to achieve sca...
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D4M 3.0: Extended Database and Language Capabilities
The D4M tool was developed to address many of today's data needs. This t...
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Performance Measurements of Supercomputing and Cloud Storage Solutions
Increasing amounts of data from varied sources, particularly in the fiel...
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Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL ManyCore Processor
Knights Landing (KNL) is the code name for the secondgeneration Intel X...
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Version 0.1 of the BigDAWG Polystore System
A polystore system is a database management system (DBMS) composed of in...
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A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs
Analysis of DNA samples is an important step in forensics, and the speed...
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NonNegative Matrix Factorization Test Cases
Nonnegative matrix factorization (NMF) is a prob lem with many applica...
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Benchmarking the Graphulo Processing Framework
Graph algorithms have wide applicablity to a variety of domains and are ...
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Benchmarking SciDB Data Import on HPC Systems
SciDB is a scalable, computational database management system that uses ...
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Julia Implementation of the Dynamic Distributed Dimensional Data Model
Julia is a new language for writing data analysis programs that are easy...
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Novel Graph Processor Architecture, Prototype System, and Results
Graph algorithms are increasingly used in applications that exploit larg...
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From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database
Google BigTable's scaleout design for distributed keyvalue storage ins...
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Scalability of VM Provisioning Systems
Virtual machines and virtualized hardware have been around for over half...
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Mathematical Foundations of the GraphBLAS
The GraphBLAS standard (GraphBlas.org) is being developed to bring the p...
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Jeremy Kepner
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Ph.D. focusing on Computational Science. MIT Lincoln Laboratory Supercomputing Center (Head).