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This document serves as a knowledge base for properly managing and diagnosing threading issues in user jobs. It focuses on OpenMP, Intel Math Kernel Library (MKL), and common thread-related misuse at OSC.
Understanding Threading with OpenMP and MKL
Intel MKL is widely used in HPC for linear algebra, FFTs, and statistical routines. MKL is multithreaded by default, which can significantly improve performance but only when correctly configured.
While OSC has upgraded the Pitzer cluster to RHEL 9, you may encounter difficulties when migrating jobs from RHEL 7 to the new system. To help you continue your research, we provide a containerized RHEL 7 environment on Pitzer RHEL 9. This container replicates the original RHEL 7 system and software environment used on Pitzer.
Compilers
The Pitzer cluster (on RHEL 9) supports C, C++, and Fortran programming languages. The available compiler suites include Intel, oneAPI, and GCC. By default, the Intel development toolchain is loaded. The table below lists the compiler commands and recommended options for compiling serial programs. For more details and best practices, please refer to our compilation guide.
The Pitzer RHEL 9 cluster (hereafter referred to as "Pitzer") is now running on Red Hat Enterprise Linux (RHEL) 9, introducing several software-related changes compared to the RHEL 7 environment used on the Pitzer. These updates provide access to modern tools and libraries but may also require adjustments to your workflows. Key software changes and available software are outlined in the following sections.
FY26 budgets: Action may be required
- By default, the majority of budgets have an expiration of Monday, June 30, 2025.
- Most Ohio academic clients will need to set new budgets for FY26 before June 30 to avoid service disruption, depending on the project type as detailed below. FY26 is the period of July 1, 2025 through June 30, 2026.
Intel's implementation of the Message Passing Interface (MPI) library. See Intel Compilers for available compiler versions at OSC.