Automatic Parallelization to Asynchronous Task-Based Runtimes Through a Generic Runtime Layer

Jin, Charles; Baskaran, Muthu Manikandan; Meister, Benoit; Springer, Jonathan

doi:10.1109/hpec.2019.8916294

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…• An implied code organization: separation of responsibilities among hardware-agnostic logic, hardware-specific logic, and hardware runtimes. Frameworks such as KOKKOS [28], RAJA [18], DPC++ [15], Ope-nACC, OpenMP [24], Legion [22], Boost Compute [26], and Grid Tools [27] are the current state of the art for providing a consistent API to heterogeneous accelerator resources. However, these current solutions fall notably short in providing the mentioned components required to enable a high degree of portability to an application.…”

Section: Related Workmentioning

confidence: 99%

FLASH 1.0: A Software Framework for Rapid Parallel Deployment and Enhancing Host Code Portability in Heterogeneous Computing

Riera¹,

Quraishi²,

Bank-Tavakoli³

et al. 2021

Preprint

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In this paper, we present FLASH 1.0, a C++-based software framework for rapid parallel deployment and enhancing host code portability in heterogeneous computing. FLASH takes a novel approach in describing kernels and dynamically dispatching them in a hardwareagnostic manner. FLASH features truly hardware-agnostic frontend interfaces, which not only unify the compile-time control flow but also enforces a portability-optimized code organization that imposes a demarcation between computational (performance-critical) and functional (non-performance-critical) codes as well as the separation of hardware-specific and hardware-agnostic codes in the host application. We use static code analysis to measure the hardware independence ratio of popular HPC applications and show that up to 99.72% code portability can be achieved with FLASH. Similarly, we measure the complexity of state-of-the-art portable programming models and show that a code reduction of up to 2.2x can be achieved for two common HPC kernels while maintaining 100% code portability with a normalized framework overhead between 1% -13% of the total kernel runtime. The codes are available at https://github.com/PSCLab-ASU/FLASH. CCS CONCEPTS• Software and its engineering → Object oriented frameworks; Software as a service orchestration system.

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