Add to ORKGPresentationWorkflows and Computational Processes. Workflows are emerging as a paradigm for representing and managing complex computations - Simulations, data analysis, visualization, data integration
The processing power available to scientists and engineers using supercomputers over the last few de...
Workflows processing data from research activities and driving in silico experiments are becoming an...
The landscape of workflow systems for scientific applications is notoriously convoluted with hundred...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
Workflows are increasingly adopted to describe large-scale data- and compute-intensive scientific si...
Journal ArticleScientists are now faced with an incredible volume of data to analyze. To successful...
Analysing scientific data may involve very complex and interlinked steps where several tools are com...
International audienceWorkflows are increasingly adopted to describe large-scale data- and compute-i...
Automation of the execution of computational tasks is at the heart of improving scientific productiv...
Workflow technology continues to play an important role as a means for specifying and enacting compu...
Scientific workflows are typically used to automate the processing, analysis and management of scien...
Nowadays, we have entered the era of big data. In the area of high performance computing, large‐scal...
International audienceThe process of data exploration is becoming an essential part of today's scien...
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned som...
The processing power available to scientists and engineers using supercomputers over the last few de...
Workflows processing data from research activities and driving in silico experiments are becoming an...
The landscape of workflow systems for scientific applications is notoriously convoluted with hundred...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
Workflows are increasingly adopted to describe large-scale data- and compute-intensive scientific si...
Journal ArticleScientists are now faced with an incredible volume of data to analyze. To successful...
Analysing scientific data may involve very complex and interlinked steps where several tools are com...
International audienceWorkflows are increasingly adopted to describe large-scale data- and compute-i...
Automation of the execution of computational tasks is at the heart of improving scientific productiv...
Workflow technology continues to play an important role as a means for specifying and enacting compu...
Scientific workflows are typically used to automate the processing, analysis and management of scien...
Nowadays, we have entered the era of big data. In the area of high performance computing, large‐scal...
International audienceThe process of data exploration is becoming an essential part of today's scien...
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned som...
The processing power available to scientists and engineers using supercomputers over the last few de...
Workflows processing data from research activities and driving in silico experiments are becoming an...
The landscape of workflow systems for scientific applications is notoriously convoluted with hundred...