We describe the vision of being able to reason about the design space of data structures.
We break this down into two questions: 1) Can we know all data structures that is possible to …

We present Limousine, a self-designing key-value storage engine, that can automatically
morph to the near-optimal storage engine architecture shape given a workload, a cloud …

Multidimensional arrays are a fundamental abstraction to represent data across scientific
domains ranging from astronomy to genetics, medicine, business intelligence, and …

Large-scale multidimensional array processing is becoming an increasingly important
problem with the rise of big data, scientific data processing, and machine learning …

Efficient array storage is the backbone of scientific data processing. With an explosion of
data, rapidly answering queries on array data is becoming increasingly important. Although …

Limitations in current DBMSs prevent their wide adoption in scientific applications. In order
to make them benefit from DBMS support, enabling Declarative data analysis and …

Array-based storage system employs a renewed interest in the featured applications for their
easy maintenance in the context of large volume data. However, the conventional schemes …

Array databases are important data management systems for scientific applications. In array
databases, version handling is an important problem due to the no-overwrite feature of …

Heterogeneous, dense computing architectures consisting of several accelerators, such as
GPUs, attached to general-purpose CPUs are now integral High-Performance Computing …

We describe the vision of being able to reason about the design space of data structures.
We break this down into two questions: 1) Can we know all data structures that is possible to …