272 citations · 2.5k across the 136 of their papers we have counts for
9 papers · 1 filter
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud
Vijay Gadepally, Jeremy Kepner, Lauren Milechin +14
Detecting anomalous behavior in network traffic is a major challenge due to the volume and velocity of network traffic. For example, a 10 Gigabit Ethernet connection can generate o…
Database Operations in D4M.jl
Lauren Milechin, Vijay Gadepally, Jeremy Kepner
Each step in the data analytics pipeline is important, including database ingest and query. The D4M-Accumulo database connector has allowed analysts to quickly and easily ingest to…
Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer
Michael Jones, Jeremy Kepner, Bradley Orchard +16
Simulation, machine learning, and data analysis require a wide range of software which can be dependent upon specific operating systems, such as Microsoft Windows. Running this sof…
Measuring the Impact of Spectre and Meltdown
Andrew Prout, William Arcand, David Bestor +15
The Spectre and Meltdown flaws in modern microprocessors represent a new class of attacks that have been difficult to mitigate. The mitigations that have been proposed have known p…
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis
Albert Reuther, Jeremy Kepner, Chansup Byun +15
Interactive massively parallel computations are critical for machine learning and data analysis. These computations are a staple of the MIT Lincoln Laboratory Supercomputing Center…
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
Jeremy Kepner, Ron Brightwell, Alan Edelman +10
The rise in computing hardware choices is driving a reevaluation of operating systems. The traditional role of an operating system controlling the execution of its own hardware is…
Sparse Deep Neural Network Exact Solutions
Jeremy Kepner, Vijay Gadepally, Hayden Jananthan +2
Deep neural networks (DNNs) have emerged as key enablers of machine learning. Applying larger DNNs to more diverse applications is an important challenge. The computations performe…
GraphChallenge.org: Raising the Bar on Graph Analytic Performance
Siddharth Samsi, Vijay Gadepally, Michael Hurley +9
The rise of graph analytic systems has created a need for new ways to measure and compare the capabilities of graph processing systems. The MIT/Amazon/IEEE Graph Challenge has been…
Design, Generation, and Validation of Extreme Scale Power-Law Graphs
Jeremy Kepner, Siddharth Samsi, William Arcand +18
Massive power-law graphs drive many fields: metagenomics, brain mapping, Internet-of-things, cybersecurity, and sparse machine learning. The development of novel algorithms and sys…