activity
20142025
most citedInteractive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

272 citations · 1.8k across the 82 of their papers we have counts for

collaborators
Showing 2017Show all

8 papers · 1 filter

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.DB2017★ 3 cited

D4M 3.0: Extended Database and Language Capabilities

Lauren Milechin, Vijay Gadepally, Siddharth Samsi +3

The D4M tool was developed to address many of today's data needs. This tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few…

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.PF2017★ 11 cited

Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor

Chansup Byun, Jeremy Kepner, William Arcand +15

Knights Landing (KNL) is the code name for the second-generation Intel Xeon Phi product family. KNL has generated significant interest in the data analysis and machine learning com…

cs.PF2017★ 5 cited

A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs

Siddharth Samsi, Brian Helfer, Jeremy Kepner +2

Analysis of DNA samples is an important step in forensics, and the speed of analysis can impact investigations. Comparison of DNA sequences is based on the analysis of short tandem…

cs.DC2017

D4M 3.0

Lauren Milechin, Alexander Chen, Vijay Gadepally +3

The D4M tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few years, the D4M toolbox has evolved to support connectivity with…