Program
8:45 am - 9:00 am: Welcome
9:00 am - 10:00 am: Keynote: "Learned Database Components," Alex Galakatos, Brown University
10:00 am - 10:30 am: Coffee break (provided by HPDC)
10:30 am - 11:00 am: Full Paper I: Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection; Andy Brown (Western Washington University), Aaron Tuor (Pacific Northwest National Laboratory), Brian Hutchinson (Western Washington University), Nicole Nichols (Pacific Northwest National Laboratory)
11:00 am - 12:00 am: Lost due to technical difficulties
12:00 pm - 1:00 pm: Lunch (provided by HPDC)
1:00 pm - 1:45 pm: Invited Talk I: Rajkumar Kettimuthu, Argonne National Laboratory
1:45 pm - 2:30 pm: Invited Talk II: "Machine Learning to Predict Live Node Failures from HPC Logs," Anwesha Das, North Carolina State University
2:30 pm - 3:00 pm: Coffee break (provided by HPDC)
3:00 - 3:30 pm: Short Paper III: Work in Progress: Topic Modeling for HPC Job State Prediction; Alexandra DeLucia (Rollins College), Elisabeth Baseman (Los Alamos National Laboratory)
3:30 - 4:00 pm: Short Paper IV: Diagnosing NFS Errors: Preliminary Findings from a Syslog Analysis of Bridges; Paridhi Choudhary (Carnegie Mellon University), Raja Sooriamurthi (Carnegie Mellon University), J. Ray Scott (Pittsburgh Supercomputing Center), Ed Hanna (Pittsburgh Supercomputing Center), Jason Sommerfield (Pittsburgh Supercomputing Center), Anjana Kar (Pittsburgh Supercomputing Center)
4:00 pm - 4:30 pm: Short Paper I: RACC: Resource-Aware Container Consolidation using a Deep Learning Approach; Saurav Nanda (Purdue University), Thomas J. Hacker (Purdue University)
4:30 pm - 5:00 pm: Short Paper II: Causal Relationships amongst Sensors in the Trinity Supercomputer (Work in Progress); Ian Goetting (New Mexico State University), Elisabeth Baseman (Los Alamos National Laboratory), Huiping Cao (New Mexico State University)
9:00 am - 10:00 am: Keynote: "Learned Database Components," Alex Galakatos, Brown University
10:00 am - 10:30 am: Coffee break (provided by HPDC)
10:30 am - 11:00 am: Full Paper I: Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection; Andy Brown (Western Washington University), Aaron Tuor (Pacific Northwest National Laboratory), Brian Hutchinson (Western Washington University), Nicole Nichols (Pacific Northwest National Laboratory)
11:00 am - 12:00 am: Lost due to technical difficulties
12:00 pm - 1:00 pm: Lunch (provided by HPDC)
1:00 pm - 1:45 pm: Invited Talk I: Rajkumar Kettimuthu, Argonne National Laboratory
1:45 pm - 2:30 pm: Invited Talk II: "Machine Learning to Predict Live Node Failures from HPC Logs," Anwesha Das, North Carolina State University
2:30 pm - 3:00 pm: Coffee break (provided by HPDC)
3:00 - 3:30 pm: Short Paper III: Work in Progress: Topic Modeling for HPC Job State Prediction; Alexandra DeLucia (Rollins College), Elisabeth Baseman (Los Alamos National Laboratory)
3:30 - 4:00 pm: Short Paper IV: Diagnosing NFS Errors: Preliminary Findings from a Syslog Analysis of Bridges; Paridhi Choudhary (Carnegie Mellon University), Raja Sooriamurthi (Carnegie Mellon University), J. Ray Scott (Pittsburgh Supercomputing Center), Ed Hanna (Pittsburgh Supercomputing Center), Jason Sommerfield (Pittsburgh Supercomputing Center), Anjana Kar (Pittsburgh Supercomputing Center)
4:00 pm - 4:30 pm: Short Paper I: RACC: Resource-Aware Container Consolidation using a Deep Learning Approach; Saurav Nanda (Purdue University), Thomas J. Hacker (Purdue University)
4:30 pm - 5:00 pm: Short Paper II: Causal Relationships amongst Sensors in the Trinity Supercomputer (Work in Progress); Ian Goetting (New Mexico State University), Elisabeth Baseman (Los Alamos National Laboratory), Huiping Cao (New Mexico State University)
