activity
20182020
most citedLessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

5 citations · 5 across the 1 of their papers we have counts for

collaborators

7 papers

cs.CV2020

Accuracy and Performance Comparison of Video Action Recognition Approaches

Matthew Hutchinson, Siddharth Samsi, William Arcand +16

Over the past few years, there has been significant interest in video action recognition systems and models. However, direct comparison of accuracy and computational performance re…

cs.DC20195 cited

Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

Julia Mullen, Albert Reuther, William Arcand +15

For decades, the use of HPC systems was limited to those in the physical sciences who had mastered their domain in conjunction with a deep understanding of HPC architectures and al…

cs.DC2018

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

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

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…