Bringing SYCL to Super Computers with Celerity


Bringing SYCL to Super Computers with Celerity

In the face of ever-slowing single-thread performance growth for CPUs, the scientific and engineering communities increasingly turn to accelerator parallelization to tackle growing application workloads. Existing means of targeting distributed memory accelerator clusters impose severe programmability barriers and maintenance burdens. The Celerity programming environment seeks to enable developers to scale C++ applications to accelerator clusters with relative ease, while leveraging and extending the SYCL programming model. By having users provide minimal information about how data is accessed within compute kernels, Celerity automatically distributes work and data. We introduce the Celerity C++ API and its supporting distributed runtime system, demonstrating that existing SYCL code can be brought to distributed memory clusters with only a small set of changes that follow established idioms. Celerity is shown to have comparable performance to more traditional approaches to distributed memory accelerator programming, such as MPI+OpenCL, with significantly lower implementation complexity.​

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