Deep learning (DL) based methods have significantly pushed forward the state-of-the-art for image restoration (IR) task. Nevertheless, DL-based IR models are highly computation- and memory-intensive. The surging demands processing higher-resolution images multi-task paralleling in practical mobile usage further add to their computation memory burdens. In this paper, we reveal overlooked redunda...

High-volume transaction processing speed is critical for adequate performance in many enterprise application servers. We describe our experiences using an object-oriented persistency framework to achieve greatly enhanced server response by the transparent use of main-memory database technology. We took an application server whose data persistency is abstracted via a persistent object framework ...

This paper develops a formalism that precisely characterizes when class tables are required for C++ memory layouts. A memory layout is a particular choice of data structures for implementing run-time support for object-oriented languages. We use this formalism and other techniques to quantify and evaluate, on a set of benchmarks, the space overhead for a set of C++ memory layouts. In particular...

Modern database systems are very often in the position to store and efficiently process their entire data in main memory. Aside from increased main memory capacities, a further driver for in-memory database systems has been the shift to a column-oriented storage format in combination with lightweight data compression techniques. In recent years, a lot of lightweight data compression algorithms ...

An overview is given of a light weight Object Oriented OO multi database system named AMOS II Object Oriented multi database queries and views can be de ned where external data sources of di erent kinds are translated through AMOS II and integrated through its OOmediation primitives Through its multi database facilities many distributed AMOS II systems can inter operate Since most data reside i...