Abstract
This article presents CHiPReP, a C compiler for the HiPReP processor, which is a high-performance Coarse-Grained Reconfigurable Array employing Floating-Point Units. CHiPReP is an extension of the LLVM and CCF compiler frameworks. Its main contributions are (i) a Splitting Algorithm for Data Dependence Graphs, which distributes the computations of a C loop to Address-Generator Units and Processing Elements; (ii) a novel instruction clustering and scheduling heuristic; and (iii) an integrated placement, pipeline balancing and routing optimization method based on Simulated Annealing. The compiler was verified and analyzed using a cycle-accurate HiPReP simulation model.
Highlights
For several decades, architecture and compiler research in the domain of HighPerformance Computing (HPC) has concentrated on parallel manycore and multicore systems
The main contributions are (i) a Splitting Algorithm for Data Dependence Graphs (DDGs) that distributes the computations of a C loop to Address-Generator Units (AGUs) and to the Processing Elements (PEs) array; (ii) a novel instruction clustering and scheduling heuristic; and (iii) an integrated placement, pipeline balancing and routing optimization method based on Simulated Annealing
Both architectures only handle integer operations, and there are no comparisons of mapping the same kernel to smaller and larger Coarse-Grained Reconfigurable Arrays (CGRAs) as we provide them
Summary
Architecture and compiler research in the domain of HighPerformance Computing (HPC) has concentrated on parallel manycore and multicore systems. The main contributions are (i) a Splitting Algorithm for Data Dependence Graphs (DDGs) that distributes the computations of a C loop to Address-Generator Units (AGUs) and to the PE array; (ii) a novel instruction clustering and scheduling heuristic; and (iii) an integrated placement, pipeline balancing and routing optimization method based on Simulated Annealing. Both the HiPReP hardware design and the accompanying compiler were developed in the HiPReP project [6].
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