Does sustainability localise networks of design?

Current views of sustainability expect digital ecologies, networked knowledge translated into biomaterial ecologies of consumption or applied design. This expectation emerges as a regulation of the current extended networks of production brought about by twentieth century networks of design. Such networks are characterised by their attachment to the materialities of design; both in the collective appreciation of ‘design’ in our material world and in the physical links that bind ‘designers’ together; their co-study, co-practice and co-presence in studio. However, the more modern knowledge economy is explained as the separation of design from its material expression, saliently exemplified by certain processes of branding. The industrialisation of emergent economies proceeds through the migration of production into less developed economies with design activity remaining in developed economies., My paper situates the importance of historicity in having induced the design network’s rôle gauging reverberations in the global economy. I analyse digital ecologies in their nexus between representing the dissociation of design and material and the manifesting the grown of designed economies. My work is situated as the pre-history of future digital economies

Innovating pedagogies: is localization a threshold concept for creative design education?

This paper asserts localisation as a threshold concept with the capacity to disrupt established vehicles for unsustainable living presently entrenched in the higher education. Democratisations of intellectual innovations and innovativeness to challenges current cultural property regimes necessarily disrupt the established methods by which higher education responds to its economy and governance. Therefore, such democratisations expand localisation beyond the discipline of design to become necessary to the whole academy

Current and emerging issues in nosocomial infections and antibiotic resistance

Antibiotic resistant pathogens are a major cause of nosocomial infections and exhibit an extraordinary ability to constantly adapt and acquire resistance determinants to overcome the effects of commonly prescribed antimicrobials. Glycopeptide resistant Enterococcus faecium, multidrug resistant Pseudomonas aeruginosa, Clostridium difficile and Escherichia coli are all pathogens of clinical interest, increasing in prevalence and causing large outbreaks of infection within hospitals. On the other hand, the emerging potential of vancomycin resistant Staphylococcus aureus (VRSA) and linezolid resistance in Gram-positive pathogens to follow suite provides a serious concern for the future treatment of hospital-acquired infections

AP/Linux - initial implementation

The AP1000+ is a distributed-memory parallel computer based on SuperSPARC processors, which incorporates message-passing hardware which can be accessed safely from user mode. We are in the process of porting the Linux kernel to this machine and extending it to support execution of parallel programs. This report outlines the motivation and background of this effort, and describes the current status and future directions for the work. The reader may also refer to our WWW page at http://cap.anu.edu.au/cap/projects/linux for up to date information on the progress of the port

An implementation of a general-purpose parallel sorting algorithm

A parallel sorting algorithm is presented for general purpose internal sorting on MIMD machines. The algorithm initially sorts the elements within each node using a serial sorting algorithm, then proceeds with a two phase parallel merge. The algorithm is comparison-based and requires additional storage of order the square root of the number of elements in each node. Performance of the algorithm is examined on two MIMD machines, the Fujitsu AP1000 and the Thinking Machines CM5

Parallel integer sorting

This paper presents algorithms and experiments for internal (in core) and external (secondary memory) parallel sorting. It concentrates on algorithms appropriate for medium scale MIMD parallel computers, with all experiments being performed on a 128 processor Fujitsu AP1000. Data sizes ranging from a few hundred thousand to a few hundred million elements are considered, with all elements being either 64 bit or 128 bit integers. The internal sorting algorithm is based on earlier work by Andrew Tridgell and Richard Brent[11], while the external sorting algorithm was developed for this paper. The paper also takes a quick look at serial sorting algorithms, as they play an important part as subroutines in the parallel sorting algorithms