activity
20162026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 478 across the 44 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.DC2018★ 1 cited

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…

cs.DC2018

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…

cs.DC2018★ 27 cited

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…

cs.DC2018★ 272 cited

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…

cs.DC2018★ 11 cited

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…