Solving graph connectivity problems on JAGs

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.Includes bibliographical references (leaf 53).by Parry Husbands.M.S

Interactive supercomputing

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.Includes bibliographical references (leaves 92-96).by Parry Jones Reginald Husbands.Ph.D

Interactive Supercomputing with MIT Matlab

This paper describes MITMatlab, a system that enables users of supercomputers or networked PCs to work on large data sets within Matlab transparently. MITMatlab is based on the Parallel Problems Server (PPServer), a standalone 'linear algebra server' that provides a mechanism for running distributed memory algorithms on large data sets. The PPServer and MITMatlab enable high-performance interactive supercomputing. With such a tool, researchers can now use Matlab as more than a prototyping tool for experimenting with small problems. Instead, MITMatlab makes is possible to visualize and operate interactively on large data sets. This has implications not only in supercomputing, but for Artificial Intelligence applicatons such as Machine Learning, Information Retrieval and Image Processing

Interactive Supercomputing’s Star-P Platform

The thesis of this extended abstract is simple. High productivity comes from high level infrastructures. To measure this, we introduce a methodology that goes beyond the tradition of timing software in serial and tuned parallel modes. We perform a classroom productivity study involving 29 students who have written a homework exercise in a low level language (MPI message passing) and a high level language (Star-P with MATLAB client). Our conclusions indicate what perhaps should be of little surprise: (1) the high level language is always far easier on the students than the low level language. (2) The early versions of the high level language perform inadequately compared to the tuned low level language, but later versions substantially catch up. Asymptotically, the analogy must hold that message passing is to high level language parallel programming as assembler is to high level environments such as MATLAB, Mathematica, Maple, or even Python. We follow the Kepner method that correctly realizes that traditional speedup numbers without some discussion of the human cost of reaching these numbers can fail to reflect the true human productivity cost of high performance computing. Traditional data compares low level message passing with serial computation. With the benefit of a high level language system in place, in our case Star-P running with MATLAB client, and with the benefit of a large data pool: 29 students, each running the same code ten times on three evolutions of the same platform, we can methodically demonstrate the productivity gains. To date we are not aware of any high level system as extensive and interoperable as Star-P, nor are we aware of an experiment of this kind performed with this volume of data

Predictive validity of the UK clinical aptitude test in the final years of medical school:a prospective cohort study

Peer reviewedPublisher PD

Mental health care and resistance to fascism

Mental health nurses have a critical stake in resisting the right-wing ideology of British fascism. Particularly concerning is the contemporary effort of the British National Party (BNP) to gain credibility and electoral support by the strategic re-packaging of a racist and divisive political manifesto. Evidence that some public sector workers are affiliated with the BNP has relevance for nursing at a series of levels, not least the incompatibility of party membership with a requirement of the Professional Code to avoid discrimination. Progressive advances, though, need to account for deep rooted institutionalized racism in the discourse and practice of healthcare services. The anomalous treatment of black people within mental health services, alongside racial abuse experienced by ethnic minority staff, is discussed in relation to the concept of race as a powerful social category and construction. The murder of the mentally ill and learning disabled in Nazi Germany, as an adjunct of racial genocide, is presented as an extreme example where professional ethics was undermined by dominant political ideology. Finally, the complicity of medical and nursing staff in the state sanctioned, bureaucratic, killing that characterized the Holocaust is revisited in the context of ethical repositioning for contemporary practice and praxis

Parenting and digital media: from the early days of the web to contemporary digital society.

Parents have accessed websites, online discussion forums and blogs for advice, information and support since the early days of the World Wide Web. In this article, we review the literature in sociology and related social research addressing the ways in which digital media have been used for parenting-related purposes. We begin with the longer-established media of parenting websites, online discussion forums, blogs, email, mobile phones and message and video services and then move on to the newer technologies of social media and apps. This is followed by a section on data privacy and security issues. The concluding section summarises some major issues arising from the review and points to directions for further research

The parallel problems server: an interactive tool for large scale machine learning

Imagine that you wish to classify data consisting of tens of thousands of examples residing in a twenty-thousand-dimensional space. How can one apply standard machine learning algorithms? We describe the Parallel Problem Server (PPServer) and MATLAB*P. In tandem they allow users of networked computers to work transparently on large data sets from within Matlab. This work is motivated by the desire to bring the many benefits of scientific computing algorithms and computational power to machine learning researchers.We demonstrate the usefulness of the system on a number of tasks. For example, we perform independent components analysis on very large text corpora consisting of tens of thousands of documents, making minimal changes to the original Bell and Sejnowski Matlab source (Bell and Sejnowski, 1995). Applying ML techniques to data previously beyond their reach leads to interesting analyses of both data and algorithms