92 citations · 685 across the 84 of their papers we have counts for
7 papers · 1 filter
Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure
Shantenu Jha, Daniel S. Katz, Andre Luckow +3
A common feature across many science and engineering applications is the amount and diversity of data and computation that must be integrated to yield insights. Data sets are growi…
Designing Workflow Systems Using Building Blocks
Matteo Turilli, Andre Merzky, Vivek Balasubramanian +2
We suggest there is a need for a fresh perspective on the design and development of workflow systems and argue for a building blocks approach. We outline a description of this appr…
ExTASY: Scalable and Flexible Coupling of MD Simulations and Advanced Sampling Techniques
Vivekanandan Balasubramanian, Iain Bethune, Ardita Shkurti +5
For many macromolecular systems the accurate sampling of the relevant regions on the potential energy surface cannot be obtained by a single, long Molecular Dynamics (MD) trajector…
The robustness of angular diameter distances to the lens in the B1608+656 and RXJ1131-1231 systems
R. F. L. Holanda
The angular diameter distance of lens, , of strong gravitational lensing systems has been claimed as a cosmic standard ruler. The first measurements for this distance were…
Ensemble Toolkit: Scalable and Flexible Execution of Ensembles of Tasks
Vivekanandan Balasubramanian, Antons Treikalis, Ole Weidner +1
There are many science applications that require scalable task-level parallelism and support for flexible execution and coupling of ensembles of simulations. Most high-performance…
Hadoop on HPC: Integrating Hadoop and Pilot-based Dynamic Resource Management
Andre Luckow, Ioannis Paraskevakos, George Chantzialexiou +1
High-performance computing platforms such as supercomputers have traditionally been designed to meet the compute demands of scientific applications. Consequently, they have been ar…