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Kristyn J. Maschhoff
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2020 – today
- 2024
- [j3]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) - 2021
- [c12]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: 157-172 - 2020
- [j2]Ananda V. Kommaraju, Kristyn J. Maschhoff, Michael F. Ringenburg, Benjamin Robbins:
Scalable reinforcement learning on Cray XC. Concurr. Comput. Pract. Exp. 32(20) (2020) - [c11]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: 2967-2976
2010 – 2019
- 2019
- [j1]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) - [i5]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 abs/1910.01354 (2019) - 2018
- [c10]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: 293-301 - [c9]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: 65:1-65:11 - [i4]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 abs/1805.11800 (2018) - [i3]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 abs/1806.01270 (2018) - [i2]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 abs/1808.04728 (2018) - 2016
- [c8]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: 204-213 - [i1]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 abs/1607.01335 (2016) - 2014
- [c7]David Mizell, Kristyn J. Maschhoff, Steven P. Reinhardt:
Extending SPARQL with graph functions. IEEE BigData 2014: 46-53
2000 – 2009
- 2009
- [c6]George Chin Jr., Andrès Márquez, Sutanay Choudhury, Kristyn J. Maschhoff:
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT. IPDPS 2009: 1-9 - [c5]David Mizell, Kristyn J. Maschhoff:
Early experiences with large-scale Cray XMT systems. IPDPS 2009: 1-9 - [c4]Oreste Villa, Daniel G. Chavarría-Miranda, Kristyn J. Maschhoff:
Input-independent, scalable and fast string matching on the Cray XMT. IPDPS 2009: 1-12 - 2008
- [c3]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: 1-8 - 2000
- [p1]T. Chen, James Demmel, Ming Gu, Yousef Saad, Richard B. Lehoucq, Danny C. Sorensen, Kristyn J. Maschhoff, Zhaojun Bai, David Day, Roland W. Freund, Gerard L. G. Sleijpen, Henk A. van der Vorst, Ruipeng Li:
Non-Hermitian Eigenvalue Problems. Templates for the Solution of Algebraic Eigenvalue Problems 2000: 149-231
1990 – 1999
- 1999
- [c2]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. PP 1999 - 1996
- [c1]Kristyn J. Maschhoff, Danny C. Sorensen:
P_ARPACK: An Efficient Portable Large Scale Eigenvalue Package for Distributed Memory Parallel Architectures. PARA 1996: 478-486
Coauthor Index
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