Publication Type
Conference Paper
Publication Date
Conference Name
European Conference on Parallel Computing (EuroPar)
Conference Location
Ischia, Italy
Conference Date
Abstract
Abstract. As heterogeneous computing platforms become more prevalent,
the programmer must account for complex memory hierarchies in
addition to the diculties of parallel programming. OpenCL is an open
standard for parallel computing that helps alleviate this diculty by
providing a portable set of abstractions for device memory hierarchies.
However, OpenCL requires that the programmer explicitly controls data
transfer and device synchronization, two tedious and error-prone tasks.
This paper introduces Maestro, an open source library for data orchestration
on OpenCL devices. Maestro provides automatic data transfer,
task decomposition across multiple devices, and autotuning of dynamic
execution parameters for some types of problems.