activity
20162024
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 1.5k across the 62 of their papers we have counts for

collaborators
Showing 2017 · cs.DCShow all

5 papers · 2 filters

cs.DC2017★ 68 cited

Streaming Graph Challenge: Stochastic Block Partition

Edward Kao, Vijay Gadepally, Michael Hurley +9

An important objective for analyzing real-world graphs is to achieve scalable performance on large, streaming graphs. A challenging and relevant example is the graph partition prob…

cs.DC2017★ 77 cited

Static Graph Challenge: Subgraph Isomorphism

Siddharth Samsi, Vijay Gadepally, Michael Hurley +9

The rise of graph analytic systems has created a need for ways to measure and compare the capabilities of these systems. Graph analytics present unique scalability difficulties. Th…

cs.DC2017★ 7 cited

Performance Measurements of Supercomputing and Cloud Storage Solutions

Michael Jones, Jeremy Kepner, William Arcand +10

Increasing amounts of data from varied sources, particularly in the fields of machine learning and graph analytics, are causing storage requirements to grow rapidly. A variety of t…

cs.DC2017★ 14 cited

MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment

Andrew Prout, William Arcand, David Bestor +13

The MIT SuperCloud Portal Workspace enables the secure exposure of web services running on high performance computing (HPC) systems. The portal allows users to run any web applicat…

cs.DC2017★ 113 cited

Scalable System Scheduling for HPC and Big Data

Albert Reuther, Chansup Byun, William Arcand +8

In the rapidly expanding field of parallel processing, job schedulers are the "operating systems" of modern big data architectures and supercomputing systems. Job schedulers alloca…