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The Distributed and Parallel Systems Group (DPS) is engaged in research and development of programming environments, multi-objective optimization, measurement and modeling of non-functional program and system behavior as well as software tools for Internet computing systems, Cloud infrastructures and multicore parallel computers. DPS enables new forms of science that are computation and data-intensive, distributed, highly-parallel, collaborative, and multi-disciplinary. Our objective is to simplify the effective use of multiprocessor parallel architectures and geographically distributed, heterogeneous systems, which will provide the basis for the next generation of Internet-enabled performance-oriented applications. We investigate our solutions in the context of mobile systems, PCs, servers, and high-end supercomputers; and explore their utilization in supporting application domains in life sciences, business analytics, natural sciences, engineering, social networking and gaming. DPS research should enable scientists to do faster, better or different research.
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论文共 306 篇作者统计合作学者相似作者
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International Journal of Parallel Programmingpp.1-16, (2024)
Rafael Ferreira da Silva,Rosa M. Badia,Venkat Bala, Debbie Bard,Peer-Timo Bremer, Ian Buckley,Silvina Caino-Lores,Kyle Chard,Carole Goble,Shantenu Jha,Daniel S. Katz, Daniel Laney,
CoRR (2023)
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing (2023)
IEEE TRANSACTIONS ON SERVICES COMPUTINGno. 1 (2023): 711-723
PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2023, CF 2023 (2023): 272-278
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMINGno. 2-3 (2022): 150-171
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