4 天之前 · The Meat, Poultry and Egg Product Inspection (MPI) Directory is a listing of establishments that produce meat, poultry, and/or egg products regulated by FSIS. The Establishment Demographic Data includes additional establishment information about FSIS regulated establishments, including size, species slaughtered and aggregate categorical ...

In this paper, we present the MPI Bugs Initiative, a complete collection of MPI codes to assess the status of MPI verification tools. We introduce a classification of MPI errors and provide correct and incorrect codes covering many MPI features and our categorization of errors.

2024年9月25日 · Hence, we present MPI-BugBench, a unified MPI correctness benchmark replacing previous efforts. It addresses the shortcomings of its predecessors by providing a single, standardized test harness for assessing tools and incorporates a broader range of real-world MPI usage scenarios.

In this paper, we present the MPI BUGSINITIATIVE, a complete collection of MPI codes to assess the status of MPI verification tools. We introduce a classification of MPI errors and provide correct and incorrect codes covering many MPI features and our categorization of errors.

We present an approach to automatically detect and repro-duce error code propagation bugs in MPI implementations. Specifically, we combine static analysis and program repair for bug detection, and apply fault injection to reproduce er-ror propagation bugs found in …

2021年11月1日 · In this paper, we present the MPI Bugs Initiative, a complete collection of MPI codes to assess the status of MPI verification tools. We introduce a classification of MPI errors and provide correct and incorrect codes covering many MPI …

Hence, we present MPI-BugBench, a unified MPI correctness benchmark replacing previous efforts. It addresses the shortcomings of its predecessors by providing a single, standardized test harness for assessing tools and incorporates a broader range of real-world MPI usage scenarios.

identifying bugs in MPI programs. Specifically, we have designed and developed two models that can determine, from a code’s LLVM Intermediate Representation (IR), whether the code is correct or contains a known MPI error. We tested our models using two dedicated MPI benchmark suites for verification: MBI and MPI-CorrBench. By training

In this paper, we present our work in identifying bugs in MPI programs using a hybrid approach that leverages both static and dynamic analysis, and detects bugs at both compile time and run time. The static approach detects buggy patterns by analyzing the Intermediate Representation (IR) file generated using the LLVM compiler.

One of the threats of MPI programs is the bugs that are hard to trace or detect. In this thesis, we present our work in identifying concurrency bugs in MPI programs using both the