TY - JOUR AU - Mack, Joshua AU - Gener, Serhan AU - Akoglu, Ali AU - Holtom, Jacob AU - Chiriyath, Alex AU - Chakrabarti, Chaitali AU - Bliss, Daniel AU - Krishnakumar, Anish AU - Goksoy, Alper AU - Ogras, Umit PY - 2022 TI - GNU Radio and CEDR: Runtime Scheduling to Heterogeneous Accelerators JF - Proceedings of the GNU Radio Conference; Vol 7 No 1 (2022): Proceedings of the 12th GNU Radio Conference KW - N2 - Accelerators in GNURadio have been previously limited to requiring the selection of an accelerator framework/block at design time. In this paper, we present a preliminary investigation into supporting two new capabilities with GNURadio: first, we illustrate the ability to execute GNURadio blocks across a variety of heterogeneous accelerators (FPGA and GPU). Second, we demonstrate that we are able to dynamically schedule these blocks across our pool of accelerators using easily-customizable scheduling policies. We do this via a combination of out-oftree modules and by embedding GNU Radio itself as an application in a heterogeneous runtime called CEDR (Mack et al., 2022). The CEDR ecosystem provides a productive environment for researching the combined challenges of application design, systems software, and hardware prototyping for heterogeneous systems, and namely, it provides a flexible intelligent scheduling (IS) interface by which the user can easily adjust or prioritize how tasks are dispatched at runtime to the various accelerators present on a given system. The IS integrates a variety of runtime schedulers that optimize for metrics such as application performance and minimum scheduling algorithm overheads.  The IS in tandem with CEDR improves the performance of applications through dynamic scheduling by efficiently utilizing the resources at runtime. UR - https://pubs.gnuradio.org/index.php/grcon/article/view/124