Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Abstract. Model-based development and automated code generation are increasingly used for actual production code, in particular in mathematical and engineering domains. However, si...
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...
Grid computing has been the subject of many large national and international IT projects in the past. However, it seems that the general expectations in Grids have not come true. ...
Uwe Schwiegelshohn, Rosa M. Badia, Marian Bubak, M...
Discovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Intern...
Sangmi Lee Pallickara, Shrideep Pallickara, Milija...