Systems-on-Chip(SoC)s are now moving from logic dominant to memory dominant chips in order to satisfy high functionality and short development cycle. This means that the yield of memory part is the most important factor for the entire chip yield. In this paper, two word-oriented memory test algorithms are proposed newly. The one is an efficient writing NPSF test algorithm and the other is an ef...

Data-Driven (DD) computing is an emerging field of Computational Mechanics, motivated by recent technological advances in experimental measurements, the development highly predictive computational models, data storage and processing, which enable transition from a material data-scarce to data-rich era. The capability DD simulations contingent on quality set, i.e. its ability closely sample all ...

memory is not a single entity. it is a gift of mother nature, the ability of living organisms to retain and to utilize acquired knowl- edge. memory is precisely related to learning, in that memory in biolog- ical systems entails learning and that learning implies retention of such information. memory can be divided into multifaceted systems. the renaissance of encephalon compatible learning app...

embedded systems, the energy consumed by the data memory organisation represents a very large cost. We present a method to explore the design space of an object-oriented application in order to optimise the energy consumption and the footprint of the memory. Because we are working at the class design level, we can exploit the functionality of the system and focus on optimising the data related ...

The ability to express a program as a hierarchical composition of parts is an essential tool in managing the complexity of software and a key abstraction this provides is to separate the representation of data from the computation. Many current parallel programming models use a shared memory model to provide data abstraction but this doesn’t scale well with large numbers of cores due to non-det...

In-memory column-oriented databases have become a major topic of interest in academia and commercial applications. The demand for analytics on up-to-the-minute data and the availability of systems with hundreds of gigabytes of main memory led to the proposal of combined systems, which provide a single database for operational processing and adhoc analytical queries on current data. Recent resea...

We perform the first study of the tradeoff space of access methods and replication to support statistical analytics using first-order methods executed in the main memory of a Non-Uniform Memory Access (NUMA) machine. Statistical analytics systems differ from conventional SQL-analytics in the amount and types of memory incoherence that they can tolerate. Our goal is to understand tradeoffs in ac...