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20132022
most citedAccurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems

22 citations · 63 across the 13 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.DC2018

Programming Strategies for Irregular Algorithms on the Emu Chick

Eric Hein, Srinivas Eswar, Abdurrahman Yaşar +7

The Emu Chick prototype implements migratory memory-side processing in a novel hardware system. Rather than transferring large amounts of data across the system interconnect, the E…

cs.DC2018★ 3 cited

A Microbenchmark Characterization of the Emu Chick

Jeffrey S. Young, Eric Hein, Srinivas Eswar +5

The Emu Chick is a prototype system designed around the concept of migratory memory-side processing. Rather than transferring large amounts of data across power-hungry, high-latenc…

cs.PL2018

A Simple Methodology for Computing Families of Algorithms

Devangi N. Parikh, Margaret E. Myers, Richard Vuduc +1

Discovering "good" algorithms for an operation is often considered an art best left to experts. What if there is a simple methodology, an algorithm, for systematically deriving a f…

cs.DC2018★ 22 cited

Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems

Yang You, James Demmel, Cho-Jui Hsieh +1

We propose two new methods to address the weak scaling problems of KRR: the Balanced KRR (BKRR) and K-means KRR (KKRR). These methods consider alternative ways to partition the inp…

cs.LG2018★ 2 cited

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park +5

This paper presents a new method, which we call SUSTain, that extends real-valued matrix and tensor factorizations to data where values are integers. Such data are common when the…