Time series motifs have been in the literature for about fifteen years, but have only recently
begun to receive significant attention in the research community. This is perhaps due to the …

We introduce a region template abstraction and framework for the efficient storage,
management and processing of common data types in analysis of large datasets of high …

We present algorithms for high performance communication between message-passing
parallel programs, and evaluate the algorithms as implemented in InterComm. InterComm is …

In this article, we propose Failure-atomic Byte-addressable R-tree (FBR-tree) that leverages
the byte-addressability, persistence, and high performance of persistent memory while …

Previous work in the Instrumented Oil-Field DDDAS project has enabled a new generation
of data-driven, interactive and dynamically adaptive strategies for subsurface …

Visual computing technologies enable more intuitive data modelling, visualization and
analysis, facilitating these processes by real-time interactive visual interfaces. These …

We present the design and implementation of Inter-Comm, a framework to couple parallel
components that enables efficient communication in the presence of complex data …

Evaluating waterflooding process performance is one of the main concern prior to
implementing such secondary recovery method. Big and complex numerical models are not …

A key challenge in supporting data-driven scientific applications is the storage and
management of input and output data in a distributed environment. We describe a …

Since its introduction in the early 2000s, the Dynamic Data-Driven Applications Systems
(DDDAS) paradigm has served as a powerful concept for continuously improving the quality …