The growth in demand for heterogeneous accelerators has stimulated the development of cutting-edge features in newer accelerators. The heterogeneous programming frameworks such as OpenCL have matured over the years and have introduced new software features for developers. We explore one of these programming frameworks, OpenCL 2.0. To drive our study, we consider a number new features in OpenCL 2.0 using four popular applications from a range of computing domains including signal processing, cybersecurity and machine learning. These applications include: 1) the AES-128 encryption standard, 2) Finite Impulse Response filtering, 3) Infinite Impulse Response filtering, and 4) Hidden Markov model. In this work, we introduce the latest runtime features enabled in OpenCL 2.0, and discuss how well our sample applications can benefit from some of these features.<\/p>\n","protected":false},"excerpt":{"rendered":"
The growth in demand for heterogeneous accelerators has stimulated the development of cutting-edge features in newer accelerators. The heterogeneous programming frameworks such as OpenCL have matured over the years and have introduced new software features for developers. We explore one of these programming frameworks, OpenCL 2.0. To drive our study, we consider a number new 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