Many applications written in C allocate memory blocks for their major data structures from the heap space at runtime. The analysis of heap-oriented pointers in such programs is critical for compilers to generate high performance code. However, most previous research on pointer analysis mostly focuses on pointers pointing to global or local variables. In this paper, we study points-to analysis o...

Scientific programmers are eager to exploit the computational power offered by Distributed Memory Parallel Computers (DMPCs), but are generally reluctant to undertake the manual porting of their application programs onto such machines. A possible solution to this problem consists in using libraries that hide the details of parallel computations. We show how to go one step beyond, using the full...

Data mining is a process that uses a variety of data analysis tools to discover knowledge, patterns and relationships in data that may be used to make valid predictions. With the popularity of object-oriented database systems in database applications, it is important to study the data mining methods for object-oriented databases. The traditional Database Management Systems (DBMSs) have limitati...

In physical implementations of associative memory, wiring costs play a significant role in shaping patterns of connectivity. In this study of sparsely-connected associative memory, a range of architectures is explored in search of optimal connection strategies which maximise pattern-completion performance, while at the same time minimising wiring costs. It is found that architectures in which t...

A sparsely connected associative memory model is tested with different pattern sets, and it is found that pattern recall is highly dependent on the type of patterns used. Performance is also found to depend critically on the connection strategy used to build the networks. Comparisons of topology reveal that connectivity matrices based on Gaussian distributions perform well for all pattern types...

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In this work we describe a high-performance stream-oriented distributed database manager and query processor under development that allows efficient execution of database queries to streamed data involving numerical and other data. Very high performance is attained by utilizing many object-relational main-memory database engines running on PCs and connected through the GRID.