The critical path of a group of tasks is an important measure that is commonly used to guide task allocation and scheduling on parallel computers. The critical path is the longest chain of dependencies in an acyclic task dependence graph. A problem arises on heterogeneous parallel machines where computation and communication costs can vary between different types of processor. Existing solution...

Power and energy efficiency are major concerns in future supercomputing systems. We expect that applications will be constrained to operate under a power budget and achieving the expected levels of performance will be challenging. Understanding how power is consumed by an application throughout its different phases will be necessary to shift power to those resources on the critical path. In thi...

The predictive performance equation (PPE) is a mathematical model of learning and retention that uses regularities seen in human learning to predict future performance. Previous research (Collins, Gluck, Walsh Krusmark & Gunzelmann,, 2016) found that prior data could be used to inform PPE’s free parameters when generating predictions of a group’s aggregate performance, allowing for more accurat...

Rapid and efficient identification of patients eligible for clinical trials is on the critical path to the effective treatment of patients in a radiation oncology clinical setting. However, the Trial Physician Assistants (TPAs) that perform this work must read through many unstructured documents that have been received from regional hospitals and scanned in. The TPA must be familiar with a larg...

Peptide mapping is a widely used technique for the characterization of proteins. This Application Note demonstrates a robust LC method and design space for peptide mapping using a Quality by Design (QbD) approach. A therapeutic monoclonal antibody (mAb) was employed as the model protein in the current peptide mapping study. Fusion QbD software’s multivariate design and analysis capabilities, wh...

There are many metrics designed to assist in the performance debugging of large-scale parallel applications. We describe a new technique, called True Zeroing, that permits direct quantitative comparison of the guidance supplied by these metrics on real applications. We apply this technique to three programs that include both numeric and symbolic applications. We compare three existing metrics: ...

The main purpose of this research is adaptation of critical paths method [1] to the processes defined in BPEL. The critical path method is the specification based and simulation oriented method. In the paper it is show that under some assumptions the BPEL process may be considered as an embedded system, in which tasks are like services and communication between tasks is like coordination of the...

Real-time main-memory databases are useful in real-time environments. They are often faster and provide more predictable execution of transactions than disk-based databases do. The most reprehensible feature is the volatility of the memory. In the RODAIN Database Architecture we solve this problem by maintaining a remote copy of the database in a stand-by node. We use logs to update the databas...

To the best of our knowledge, there is no method in the literature to find the fuzzy optimal solution of fully fuzzy critical path (FFCP) problems i.e., critical path problems in which all the parameters are represented by LR flat fuzzy numbers. In this paper, a new method is proposed for the same. Also, it is shown that it is better to use JMD representation of LR flat fuzzy numbers in the pro...

We present a method to control a manipulator with passive joints, which have no actuators, in operational space. The equation of motion is described in terms of operational coordinates. The coordinates are separated into active and passive components. The acceleration of the active components can be arbitrarily adjusted by using the coupling characteristics of manipulator dynamics. This method ...