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

272 citations · 2.5k across the 136 of their papers we have counts for

collaborators
Showing 2017Show all

11 papers · 1 filter

cs.DB2017★ 25 cited

Polystore Mathematics of Relational Algebra

Hayden Jananthan, Ziqi Zhou, Vijay Gadepally +3

Financial transactions, internet search, and data analysis are all placing increasing demands on databases. SQL, NoSQL, and NewSQL databases have been developed to meet these deman…

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.DB2017★ 35 cited

Version 0.1 of the BigDAWG Polystore System

Vijay Gadepally, Kyle OBrien, Adam Dziedzic +7

A polystore system is a database management system (DBMS) composed of integrated heterogeneous database engines and multiple programming languages. By matching data to the storage…

cs.CR2017★ 4 cited

SoK: Cryptographically Protected Database Search

Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich +6

Protected database search systems cryptographically isolate the roles of reading from, writing to, and administering the database. This separation limits unnecessary administrator…

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…

cs.DB2017★ 1 cited

BigDAWG Polystore Release and Demonstration

Kyle OBrien, Vijay Gadepally, Jennie Duggan +7

The Intel Science and Technology Center for Big Data is developing a reference implementation of a Polystore database. The BigDAWG (Big Data Working Group) system supports "many si…