![]() ![]() As toxicological data may come from different, heterogeneous sources, a deployed ontology, unifying the terminology and the resources, is critical for the rational and reliable organization of the data, and its automatic processing. Interoperability of resources is achieved using a common information model, based on the OpenTox ontologies, describing predictive algorithms, models and toxicity data. The OpenTox Framework, developed by the partners in the OpenTox project (), aims at providing a unified access to toxicity data, predictive models and validation procedures. ![]() Tcheremenskaia, Olga Benigni, Romualdo Nikolova, Ivelina Jeliazkova, Nina Escher, Sylvia E Batke, Monika Baier, Thomas Poroikov, Vladimir Lagunin, Alexey Rautenberg, Micha Hardy, Barry OpenTox predictive toxicology framework: toxicological ontology and semantic media wiki- based OpenToxipedia. Porting thirteen standard OpenACC programs and three extended OpenACC programs to CUDA GPUs shows that OpenARC performs similarly to a commercial OpenACC compiler, while it serves as a high-level research framework.« less Moreover, this paper demonstrates the efficacy of OpenARC as a research framework for directive- based programming study, by proposing andmore » implementing OpenACC extensions in the OpenARC framework to 1) support hybrid programming of the unified memory and separate memory and 2) exploit architecture-specific features in an abstract manner. This paper explains important design strategies and key compiler transformation techniques needed to implement the reference OpenACC compiler. This paper presents an open-sourced OpenACC compiler, called OpenARC, which serves as an extensible research framework to address those issues in the directive- based accelerator programming. However, the increased complexity in the SHC systems incurs several challenges in terms of portability and productivity. ![]() OpenARC: Extensible OpenACC Compiler Framework for Directive- Based Accelerator Programming Studyĭirective- based, accelerator programming models such as OpenACC have arisen as an alternative solution to program emerging Scalable Heterogeneous Computing (SHC) platforms. ![]()
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