As high-performance computing resources have become increasingly available, new modes
of computational processing and experimentation have become possible. This tutorial …

As large-scale distributed systems gain momentum, the scheduling of workflow applications
with multiple requirements in such computing platforms has become a crucial area of …

Several scientists have moved their IO-and CPU-intensive workflows to Data-Intensive
Scalable Computing (DISC) frameworks aiming at benefit from high scalability, broad …

Complex scientific experiments from various domains are typically modeled as workflows
and executed on large-scale machines using a Parallel Workflow Management System …

In recent years, with the continuous development of internet of things and cloud computing
technologies, data intensive applications have gotten more and more attention. In the …

The computational complexity and the constantly increasing amount of input data for
scientific computing models is threatening their scalability. In addition, this is leading …

Ultrascale computing systems will blur the line between HPC and cloud platforms,
transparently offering to the end-user every possible available computing resource …

Swift/T is a key success from the ExM: System support for extreme-scale, many-task
applications1 X-Stack project, which proposed to use concurrent dataflow as an innovative …

How to enable computational scientists and engineers to monitor and understand their
experiments when they are steering them on large-scale computers? This is the central …

As high-performance computing resources have become increasingly available, new modes
of computational processing and experimentation have become possible. This tutorial …