Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark Dalton
dblp:231/1282
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-8943-9655ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware reliability and fault tolerance · 87% Performance modeling and evaluation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › reliability analysis
interconnect reliability |
0.3 | 1 | 2018 | Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters · IEEE Trans. Dependable Secur. Comput. 2018 |
Hardware reliability and fault tolerance
system reliability |
0.3 | 1 | 2018 | Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters · IEEE Trans. Dependable Secur. Comput. 2018 |
Performance modeling and evaluation
workload characterization |
0.1 | 1 | 2018 | Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters · IEEE Trans. Dependable Secur. Comput. 2018 |
Methods — techniques the papers use, named apart from their topics
propagation modeling · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue WatersabstractAvailability of the interconnection network in high-performance computing (HPC) systems is fundamental to sustaining the continuous execution of applications at scale. When failures occur, interconnect recovery mechanisms orchestrate complex operations to recover network connectivity between the nodes. As the scale and design complexity of HPC systems increase, so does the system's susceptibility to failures during execution of interconnect-recovery procedures. This study characterizes the recovery procedures of the Gemini interconnect network, the largest Gemini network built by Cray, on Blue Waters, a 13.3 petaflop supercomputer at the National Center for Supercomputing Applications (NCSA). We propose a propagation model that captures interconnect failures and recovery procedures to help understand types of failures and their propagation in both the system and applications during recovery. The measurements show that recovery procedures occur very frequently and that the unsuccessful execution of recovery procedures, when additional failures occur during recovery, causes system-wide outages (SWOs, 28 out of 101) and application failures (3.4 percent of all running applications). Saurabh Jha, Valerio Formicola, Catello Di Martino, Mark Dalton, William T. Kramer, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
IEEE Trans. Dependable Secur. Comput. | 4 |