OpenSource Heterogeneous Chiplet-based Computing Architectures

Leading edge processors, such as AMD's MI300 and Intel's Ponte Vecchio, rely on 3D integration of heterogeneous architectures including CPUs and GPUs or vector processors to provide the highest performance. There are many models for memory coherency within such chips and there is a need for research on the best way to map various kernels to these architectures including studying how best to share data. Unfortunately, the hardware in commercial processors is closed, which limits research opportunities, particularly for hardware/software co-design. Recent projects such as OpenPiton, and numerous follow-on projects, have made it possible for the research community to develop coherent, multi-core systems based on RISC-V. The next step is to enhance the support in open source, multi-core platforms for heterogeneous computing (GPUs, FPGA accelerators) and to explore 3D partitioning of such systems. In this paper, we present the state-of-the art of such open source platforms and sketch a roadmap which we hope will enable the research community to continue to contribute to the development of today's advanced heterogeneous architectures.