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Michael F. Ringenburg
Person information
- affiliation: Cray, Inc.
- affiliation: University of Washington, Seattle, WA, USA
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2020 – today
- 2020
- [j3]Ananda V. Kommaraju
, Kristyn J. Maschhoff, Michael F. Ringenburg, Benjamin Robbins:
Scalable reinforcement learning on Cray XC. Concurr. Comput. Pract. Exp. 32(20) (2020)
2010 – 2019
- 2019
- [j2]Alex Gittens, Kai Rothauge
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
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
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. IEEE BigData 2016: 204-213 - [c7]Alex Gittens, Jey Kottalam, Jiyan Yang, Michael F. Ringenburg
A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark. IPDPS Workshops 2016: 1403-1412 - [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) - 2015
- [c6]Michael F. Ringenburg
Monitoring and Debugging the Quality of Results in Approximate Programs. ASPLOS 2015: 399-411 - 2014
- [b1]Michael F. Ringenburg:
Dynamic Analyses of Result Quality in Energy-Aware Approximate Programs. University of Washington, USA, 2014
2000 – 2009
- 2007
- [j1]Neva Cherniavsky, Gidon Shavit, Michael F. Ringenburg
MultiStage: A MINMAX Bit Allocation Algorithm for Video Coders. IEEE Trans. Circuits Syst. Video Technol. 17(1): 59-67 (2007) - 2005
- [c5]Michael F. Ringenburg
Preventing format-string attacks via automatic and efficient dynamic checking. CCS 2005: 354-363 - [c4]Michael F. Ringenburg
AtomCaml: first-class atomicity via rollback. ICFP 2005: 92-104 - [c3]Michael F. Ringenburg
Types for describing coordinated data structures. TLDI 2005: 25-36 - 2004
- [c2]Gidon Shavit, Michael F. Ringenburg
Group Testing for Video Compression. Data Compression Conference 2004: 212-221 - [c1]Michael F. Ringenburg
Global MINMAX Interframe Bit Allocation for Embedded Video Coding. Data Compression Conference 2004: 222-231
Coauthor Index
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