Kristyn J. Maschhoff

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 13

Top Topics

Massively Parallel

Matrix Factorization

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Christopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar
Optimizing the Cray Graph Engine for performant analytics on cluster, SuperDome Flex, Shasta systems and cloud deployment. Concurr. Comput. Pract. Exp. 36 (10) (2024)
Sreenivas R. Sukumar, Jacob A. Balma, Christopher D. Rickett, Kristyn J. Maschhoff, Joseph Landman, Charles R. Yates, Amar G. Chittiboyina, Yuri K. Peterson, Aaron Vose, Kendall G. Byler, Jérôme Baudry, Ikhlas A. Khan
The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic. SMC (2021)
Christopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar
Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing. IEEE BigData (2020)
Ananda V. Kommaraju, Kristyn J. Maschhoff, Michael F. Ringenburg, Benjamin Robbins
Scalable reinforcement learning on Cray XC. Concurr. Comput. Pract. Exp. 32 (20) (2020)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
Alchemist: An Apache Spark ⇔ MPI interface. Concurr. Comput. Pract. Exp. 31 (16) (2019)
Kai Rothauge, Haripriya Ayyalasomayajula, Kristyn J. Maschhoff, Michael F. Ringenburg, Michael W. Mahoney
Running Alchemist on Cray XC and CS Series Supercomputers: Dask and PySpark Interfaces, Deployment Options, and Data Transfer Times. CoRR (2019)
Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee
CosmoFlow: Using Deep Learning to Learn the Universe at Scale. CoRR (2018)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. KDD (2018)
Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Kärnä, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee
CosmoFlow: using deep learning to learn the universe at scale. SC (2018)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. CoRR (2018)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
Alchemist: An Apache Spark MPI Interface. CoRR (2018)
Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. IEEE BigData (2016)
Alex Gittens, Aditya Devarakonda, Evan Racah, Michael F. Ringenburg, Lisa Gerhardt, Jey Kottalam, Jialin Liu, Kristyn J. Maschhoff, Shane Canon, Jatin Chhugani, Pramod Sharma, Jiyan Yang, James Demmel, Jim Harrell, Venkat Krishnamurthy, Michael W. Mahoney, Prabhat
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. CoRR (2016)
David Mizell, Kristyn J. Maschhoff, Steven P. Reinhardt
Extending SPARQL with graph functions. IEEE BigData (2014)
George Chin Jr., Andrès Márquez, Sutanay Choudhury, Kristyn J. Maschhoff
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT. IPDPS (2009)
Oreste Villa, Daniel G. Chavarría-Miranda, Kristyn J. Maschhoff
Input-independent, scalable and fast string matching on the Cray XMT. IPDPS (2009)
David Mizell, Kristyn J. Maschhoff
Early experiences with large-scale Cray XMT systems. IPDPS (2009)
Daniel G. Chavarría-Miranda, Andrès Márquez, Jarek Nieplocha, Kristyn J. Maschhoff, Chad Scherrer
Early experience with out-of-core applications on the Cray XMT. IPDPS (2008)
Leonid Y. Zaslavsky, Simon Kahan, Bracy H. Elton, Kristyn J. Maschhoff, Louis G. Stern
A Scalable Approach for Solving Irregular Sparse Linear Systems on the Tera MTA Multithreaded Parallel Shared-Memory Computer. PPSC (1999)
Kristyn J. Maschhoff, Danny C. Sorensen
P_ARPACK: An Efficient Portable Large Scale Eigenvalue Package for Distributed Memory Parallel Architectures. PARA (1996)