Summary

Description

Space presents a challenging environment for computing. Extended development times and radiation tolerance requirements leave hardware performance a decade or more behind the terrestrial state-of-the-art at the time of deployment. Additionally, once deployed, hardware changes are impractical, encouraging a trend towards increased software programmability. However, topside pressure from application advancements are forcing space-based platforms to improve throughput and latency while reducing power consumption. A popular approach to addressing the tension between these requirements is the heterogeneous processing architecture. By providing multiple hardware tools that optimally support a subset of the anticipated workload, a heterogeneous architecture can offer a diverse processing toolset to the application developer. However, programming these systems is extremely challenging because of variations in toolsets and data sharing interfaces. As a result, data sharing and dynamic workload scheduling across heterogeneous architectures is often suboptimal and hindered by poor scalability. Maxentric proposes to solve this problem with RUSH, a heterogeneous processing architecture with a unified programming model for rapid development. RUSH employs a rad-hard multicore processor as a host and an FPGA as an accelerator chip. The RUSH software layer unifies these architectures through an innovative programming model described in the proposal.