Infrared thermogrpahy was utilized to record the temperature change during tensile loading cycles of two shape memory alloy single crystals with pseudoelastic behavior. During unloading, a giant temperature drop was measured in the gage section due to the elastocaloric effect. This data article provides a video of a [001] oriented Ni2FeGa single crystal, including the corresponding stress-strai...

Existing main memory data processing systems employ a variety of storage organizations and make a number of storagerelated design choices. The focus of this paper is on systematically evaluating a number of these key storage design choices for main memory analytical (i.e. read-optimized) database settings. Our evaluation produces a number of key insights: First, it is always beneficial to organ...

Flash memory has become a more widespread storage medium for modern wireless devices because of its effective characteristics like non-volatility, small size, light weight, fast access speed, shock resistance, high reliability and low power consumption. Sensor nodes are highly resource constrained in terms of limited processing speed, runtime memory, persistent storage, communication bandwidth ...

This study investigated whether "intentional" instructions could improve older adults' object memory and object-location memory about a scene by promoting object-oriented viewing. Eye movements of younger and older adults were recorded while they viewed a photograph depicting 12 household objects in a cubicle with or without the knowledge that memory about these objects and their locations woul...

The descriptionòbject-oriented' may apply to both programming languages and operating systems. However, creating an interface between an object-oriented programming language and an object-oriented operating system is not necessarily a straightforward task. Chrysalis++ is a C++ interface to the Chrysalis operating system for the BBN Butterry Parallel Processor. The development of Chrysalis++ hig...

Network science makes heavy use of simulation models and calculations based upon graph-oriented data structures that are intrinsically highly irregular in nature. The key to efficient use of data-parallel and multi-core parallelism on graphical processing units (GPUs) and CPUs is often to optimise the data layout and to exploit distributed memory locality with processing elements. We describe w...

The performance of a memory system depends to great extent on the algorithms used for memory allocation and garbage collection (GC). GC implementers need accurate data about memory objects' behaviour in order to produce high quality garbage collectors optimized for their particular problems. Therefore, different GC-related data should be collected and analysed afterwards. We propose a set of pa...

In object-oriented (OO) languages, the ability to encapsulate software concerns of the dominant decomposition in objects is the key to reaching high modularity and loss of complexity in large scale designs. However, distributed memory parallelism tends to break modularity and encapsulation of concerns in OO languages, since a parallel computation cannot be encapsulated in an individual object. ...

Current data models like the NF2 model and object-oriented models support setvalued attributes. Hence, it becomes possible to have join predicates based on set comparison. This paper introduces and evaluates several main memory algorithms to evaluate e ciently this kind of join. More speci cally, we concentrate on the set equality and the subset predicates.

A distinction is drawn between the quantity-oriented approach to memory that has dominated traditional laboratory research, and the accuracy-oriented approach that is emerging in the study of everyday memory. This distinction is shown to underlie some troubling confusions in the interpretation of empirical findings. In particular, the recall-recognition paradox, which involves the claimed super...