most citedA Pattern Language for High-Performance Computing Resilience

8 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC20181 cited

Shrink or Substitute: Handling Process Failures in HPC Systems using In-situ Recovery

Rizwan A. Ashraf, Saurabh Hukerikar, Christian Engelmann

Efficient utilization of today's high-performance computing (HPC) systems with complex hardware and software components requires that the HPC applications are designed to tolerate…

cs.DC20178 cited

A Pattern Language for High-Performance Computing Resilience

Saurabh Hukerikar, Christian Engelmann

High-performance computing systems (HPC) provide powerful capabilities for modeling, simulation, and data analytics for a broad class of computational problems. They enable extreme…

cs.DC2017

Pattern-based Modeling of High-Performance Computing Resilience

Saurabh Hukerikar, Christian Engelmann

With the growing scale and complexity of high-performance computing (HPC) systems, resilience solutions that ensure continuity of service despite frequent errors and component fail…

cs.DC20178 cited

Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale

Saurabh Hukerikar, Christian Engelmann

Reliability is a serious concern for future extreme-scale high-performance computing (HPC) systems. While the HPC community has developed various resilience solutions, the solution…

cs.DC2017

Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale

Byung H. Park, Saurabh Hukerikar, Ryan Adamson +1

Today's high-performance computing (HPC) systems are heavily instrumented, generating logs containing information about abnormal events, such as critical conditions, faults, errors…