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A Type Specialisation Tutorial
The essence of partial evaluation is beautifully simple: we just take a program, together with values of some of its inputs; we perform the operations that depend only on known inputs, build a new program from the other operations, and finally obtain a residual program which solves the same problem as the original for a subclass of the cases. Work by Neil Jones and his group over the past decade and a half has demonstrated just how powerful this simple idea really is.
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Proving the correctness of reactive systems using sized types
We have designed and implemented a type-based analysis for proving some basic properties of reactive systems. The analysis manipulates rich type expressions that contain information about the sizes of recursively defined data structures. Sized types are useful for detecting deadlocks, nontermination, and other errors in embedded programs. To establish the soundness of the analysis we have developed an appropriate semantic model of sized types.
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Binding-Time Analysis for Polymorphic Types
Offline partial evaluators specialise programs with annotations which distinguish specialisation-time (or static) computations from run-time ones. These annotations are generated by a binding-time analyser, via type inference in a suitable type-system. Henglein and Mossin developed a type system which allows polymorphism in binding-times, so that the same code can be specialised with different computations being static at different uses. We extend their work to permit polymorphism in types as well. This is particularly important for separately compiled libraries.Following Henglein and Mossin, binding-times are passed as parameters during specialisation, but types are not. Instead, we pass coercion functions when necessary, which makes specialisation less "interpretive" than it would otherwise be. We keep track of the coercions needed by assigning qualified types to polymorphic functions.We also consider hand-annotations to provide limited user control over the binding-time analysis, which our prototype implementation showed to be necessary.
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How to give a good research talk
Giving a good research talk is not easy. We try to identify some things which we have found helpful, in the hope that they may be useful to you.
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Type Specialisation for the lambda-Calculus; or, A New Paradigm for Partial Evaluation Based on Type Inference
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Making choices lazily
We present a natural semantics that models the untyped, normal order A-calculus plus McCarthy’s amb in the context of call-by-need parameter passing. This results in a singular semantics for amb. Previous work on singular choice has concentrated on erratic choice, a less interesting nondeterministic choice operator, and only in relation to callby-value parameter passing, or call-by-name restricted to deterministic terms. The natural semantics contains rules for both convergent and divergent behaviour, allowing it to distinguish programs that differ only in their divergent behaviour. As a result, it is more discriminating than current domain-theoretic models. This, and the fact that it models singular amb, makes the natural semantics suitable for reasoning about lazy, functional languages containing McCarthy’s amb.
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Voice as sound: using non-verbal voice input for interactive control
We describe the use of non-verbal features in voice for direct control of interactive applications. Traditional speech recognition interfaces are based on an indirect, conversational model. First the user gives a direction and then the system performs certain operation. Our goal is to achieve more direct, immediate interaction like using a button or joystick by using lower-level features of voice such as pitch and volume. We are developing several prototype interaction techniques based on this idea, such as "control by continuous voice", "rate-based parameter control by pitch," and "discrete parameter control by tonguing." We have implemented several prototype systems, and they suggest that voice-as-sound techniques can enhance traditional voice recognition approach.
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An annotation system for 3D fluid flow visualization
Annotation is a key activity of data analysis. However, current data analysis systems focus almost exclusively on visualization. We propose a system which integrates annotations into a visualization system. Annotations are embedded in 3D data space, using the Post-it metaphor. This embedding allows contextual-based information storage and retrieval, and facilitates information sharing in collaborative environments. We provide a traditional database filter and a Magic Lens filter to create specialized views of the data. The system is customized for fluid flow applications, with features which allow users to store parameters of visualization tools and sketch 3D volumes.<<ETX>>
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Sculpting: an interactive volumetric modeling technique
We present a new interactive modeling technique based on the notion of sculpting a solid material. A sculpting tool is controlled by a 3D input device and the material is represented by voxel data; the tool acts by modifying the values in the voxel array, much as a "paint" program's "paintbrush" modifies bitmap values. The voxel data is converted to a polygonal surface using a "marching-cubes" algorithm; since the modifications to the voxel data are local, we accelerate this computation by an incremental algorithm and accelerate the display by using a special data structure for determining which polygons must be redrawn in a particular screen region. We provide a variety of tools: one that cuts away material, one that adds material, a "sandpaper" tool, a "heat gun," etc. The technique provides an intuitive direct interaction, as if the user were working with clay or wax. The models created are free-form and may have complex topology; however, they are not precise, so the technique is appropriate for modeling a boulder or a tooth but not for modeling a crankshaft.
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User-guided composition effects for art-based rendering
We apply simple techniques from traditional artistic composition to the art-based rendering of interactive 3D scenes. A human scenemodeler makes choices about composition in a scene and our system dynamically adjusts the rendering attributes of objects in the scene to achieve the desired effects for a given view. We can selectively group scene elements through shared tone, color, and outline, so as to simplify and structure an image. This can be used, together with controlled level of detail, to emphasize important objects. Finally, we show a technique for adaptively changing color or other attributes to control the contrast of adjacent elements in the picture. We also briefly discuss ideas about larger-scale compositional issues. CR Categories and Subject Descriptors: I.3.3 [Computer Graphics]: Picture/Image Generation - Display algorithms.
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Length-Based Attacks for Certain Group Based Encryption Rewriting Systems
In this note, we describe a probabilistic attack on public key cryptosystems based on the word/conjugacy problems for finitely presented groups of the type proposed recently by Anshel, Anshel and Goldfeld. In such a scheme, one makes use of the property that in the given group the word problem has a polynomial time solution, while the conjugacy problem has no known polynomial solution. An example is the braid group from topology in which the word problem is solvable in polynomial time while the only known solutions to the conjugacy problem are exponential. The attack in this paper is based on having a canonical representative of each string relative to which a length function may be computed. Hence the term length attack. Such canonical representatives are known to exist for the braid group.