activity
20142026
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 719 across the 57 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.NI2022

Hypersparse Network Flow Analysis of Packets with GraphBLAS

Tyler Trigg, Chad Meiners, Sandeep Pisharody +23

Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of analyzing traffic as raw packets, network analysts often rely on compressed network…

cs.LG2022

An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning

Matthew L. Weiss, Joseph McDonald, David Bestor +8

In this paper we address the application of pre-processing techniques to multi-channel time series data with varying lengths, which we refer to as the alignment problem, for downst…

cs.DC2022★ 2 cited

Python Implementation of the Dynamic Distributed Dimensional Data Model

Hayden Jananthan, Lauren Milechin, Michael Jones +17

Python has become a standard scientific computing language with fast-growing support of machine learning and data analysis modules, as well as an increasing usage of big data. The…

cs.DC2022★ 5 cited

pPython for Parallel Python Programming

Chansup Byun, William Arcand, David Bestor +18

pPython seeks to provide a parallel capability that provides good speed-up without sacrificing the ease of programming in Python by implementing partitioned global array semantics…

cs.DC2022★ 4 cited

The MIT Supercloud Workload Classification Challenge

Benny J. Tang, Qiqi Chen, Matthew L. Weiss +24

High-Performance Computing (HPC) centers and cloud providers support an increasingly diverse set of applications on heterogenous hardware. As Artificial Intelligence (AI) and Machi…

cs.NI2022★ 4 cited

Temporal Correlation of Internet Observatories and Outposts

Jeremy Kepner, Michael Jones, Daniel Andersen +26

The Internet has become a critical component of modern civilization requiring scientific exploration akin to endeavors to understand the land, sea, air, and space environments. Und…