Michael F. Ringenburg

22 papers A* 3A 2B 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Cloud-Hardware Co-Design for Memory Bandwidth-Bound HPC Workloads: Performance and Characteristics of Azure HBv5 Virtual Machines.
SCA/HPC Asia
Amirreza Rastegari, Sai Kovouri, Michael Cui, Zehra Naz, Jay Fleischman, Saurabh Gupta, Anil Harwani, Gabriel H. Loh, Joe Greenseid, Evan Burness, Prabhat Ram, Michael F. Ringenburg
2026 J jnl
Interactive and Urgent HPC: State of the Research.
CoRR
Albert Reuther, William Arndt, Johannes Blaschke, Christian Boehme, Nick Brown, Antony Chazapis, Bjoern Enders, Jens Henrik Goebbert, Robert Henschel, Julian M. Kunkel, Maxime Martinasso, Michael F. Ringenburg, Rollin C. Thomas
2025 — conf
On the Performance and Scalability of Cloud Supercomputers: Insights from Eagle and Reindeer.
SC Workshops
Amirreza Rastegari, Prabhat Ram, Michael F. Ringenburg
2020 J jnl
Scalable reinforcement learning on Cray XC.
Concurr. Comput. Pract. Exp.
Ananda V. Kommaraju, Kristyn J. Maschhoff, Michael F. Ringenburg, Benjamin Robbins
2019 J jnl
Alchemist: An Apache Spark ⇔ MPI interface.
Concurr. Comput. Pract. Exp.
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
2019 J jnl
Running Alchemist on Cray XC and CS Series Supercomputers: Dask and PySpark Interfaces, Deployment Options, and Data Transfer Times.
CoRR
Kai Rothauge, Haripriya Ayyalasomayajula, Kristyn J. Maschhoff, Michael F. Ringenburg, Michael W. Mahoney
2018 A* conf
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.
KDD
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
2018 J jnl
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.
CoRR
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
2018 J jnl
Alchemist: An Apache Spark MPI Interface.
CoRR
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
2018 J jnl
CosmoFlow: Using Deep Learning to Learn the Universe at Scale.
CoRR
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
2018 A conf
CosmoFlow: using deep learning to learn the universe at scale.
SC
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
2016 — conf
A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark.
IPDPS Workshops
Alex Gittens, Jey Kottalam, Jiyan Yang, Michael F. Ringenburg, Jatin Chhugani, Evan Racah, Mohitdeep Singh, Yushu Yao, Curt Fischer, Oliver Rübel, Benjamin P. Bowen, Norman G. Lewis, Michael W. Mahoney, Venkat Krishnamurthy, Prabhat
2016 J jnl
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.
CoRR
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
2016 — conf
Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies.
IEEE BigData
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
2015 A* conf
Monitoring and Debugging the Quality of Results in Approximate Programs.
ASPLOS
Michael F. Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, Dan Grossman
2014 — —
Dynamic Analyses of Result Quality in Energy-Aware Approximate Programs.
Michael F. Ringenburg
2007 J jnl
MultiStage: A MINMAX Bit Allocation Algorithm for Video Coders.
IEEE Trans. Circuits Syst. Video Technol.
Neva Cherniavsky, Gidon Shavit, Michael F. Ringenburg, Richard E. Ladner, Eve A. Riskin
2005 A conf
AtomCaml: first-class atomicity via rollback.
ICFP
Michael F. Ringenburg, Dan Grossman
2005 A* conf
Preventing format-string attacks via automatic and efficient dynamic checking.
CCS
Michael F. Ringenburg, Dan Grossman
2005 — conf
Types for describing coordinated data structures.
TLDI
Michael F. Ringenburg, Dan Grossman
2004 B conf
Global MINMAX Interframe Bit Allocation for Embedded Video Coding.
Data Compression Conference
Michael F. Ringenburg, Richard E. Ladner, Eve A. Riskin
2004 B conf
Group Testing for Video Compression.
Data Compression Conference
Gidon Shavit, Michael F. Ringenburg, Jeff West, Richard E. Ladner, Eve A. Riskin