activity
20172026
most citedReport of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Verification of PETSc with CIVL using LLM-generated ACSL contracts and deterministic driver generation

Hansol Suh, Jan Hückelheim, Stephen Siegel

Parallel numerical libraries such as PETSc are widely used in science and engineering applications where wrong results can have costly consequences. Despite this, numerical librari…

cs.PL2026

Parameterized Verification of Deterministic MPI Programs

Stephen F. Siegel

We consider the problem of verifying a message passing program in which the number of processes is a parameter NP and each process knows its unique ID. Processes communicate using…

cs.LO2026

LAP: Simple Command-line Tools for Teaching Logic, Algorithms, and Proof in Computer Science

Stephen F. Siegel, Yuxin Zhou

The LAP toolset is a set of command line tools for teaching logic in computer science. It provides implementations of standard algorithms for propositional and first order logic, i…

cs.SE2023★ 1 cited

DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection

Le Chen, Wenhao Wu, Stephen F. Siegel +2

Data races pose a significant threat in multi-threaded parallel applications due to their negative impact on program correctness. DataRaceBench, an open-source benchmark suite, is…

cs.PL2023

Model Checking Race-freedom When "Sequential Consistency for Data-race-free Programs" is Guaranteed

Wenhao Wu, Jan Hückelheim, Paul D. Hovland +2

Many parallel programming models guarantee that if all sequentially consistent (SC) executions of a program are free of data races, then all executions of the program will appear t…

cs.DC2017★ 3 cited

Report of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC

Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu +6

Maintaining leadership in HPC requires the ability to support simulations at large scales and fidelity. In this study, we detail one of the most significant productivity challenges…