We propose Observer architecture for program visualization. The principles of Observer architecture are modular, model-driven visualization with one-directional coupling, hierarchical delegation, message-passing and archival by visualizers. The architecture is scalable. The resulting visualization can be distributed and modified independent of the model. The Observer architecture has been imple...

The size of the Internet’s forwarding table is growing rapidly, generating concerns about the ability for high performance routing equipment to economically keep pace. The primary contributors to this growth are end site multihoming, traffic engineering, and in the foreseeable future, IPv6 deployment. This paper presents HIDRA, a hierarchal network architecture designed to reduce both the immed...

This paper develops a hierarchical control architecture for so called sequential behaviours, i.e. for plant dynamics and specifications that are represented as formal languages of infinite-length words. Our main result is the elaboration of structural properties that (a) allow for abstraction based controller design and that (b) are preserved under closed-loop composition. Thus, we propose to a...

In this paper, we propose the hierarchical daisy architecture, which provides causal delivery of messages sent to any subset of processes. The architecture provides fault tolerance and maintains the amount of control information within a reasonable size. It divides processes into logical groups. Messages inside a logical group are sent directly, while messages that need to cross logical groups’...

We present an architecture which lets us train deep, directed generative models with many layers of latent variables. We include deterministic paths between all latent variables and the generated output, and provide a richer set of connections between computations for inference and generation, which enables more effective communication of information throughout the model during training. To imp...

We introduce a new information architecture that is a synthesis of an information structure, information flow (e.g. narrative), and information dialectic (its evolution). Insights from the memory mnemonic the method of loci and the philosophical process of dialectic are introduced. Three cumulative syntheses are presented: the organic architecture with (1) the hierarchical architecture with (2)...

We describe a machine learning architecture for hierarchical vision systems. These vision systems work by successively grouping visual constructs at one level, selecting the most promising, and passing them up to higher levels of processing. This continues from the pixel-level of the image to the object-model evel. Traditionally, researchers have used static heuristics at each level to select t...

We present novel algorithms for efficient hierarchical collision detection and propose a hardware architecture for a single-chip accelerator. We use a hierarchy of bounding volumes defined by k-DOPs for maximum performance. A new hierarchy traversal algorithm and an optimized triangle-triangle intersection test reduce bandwidth and computation costs. The resulting hardware architecture can proc...

Today’s computer and network architectures provide means for parallel execution of computing intensive applications. The primary operating system abstraction for supporting parallelization of applications is the thread. However, current implementations have severe deficiencies: kernel threads have too much overhead, and user-level threads are not integrated well enough into the operating system...

The Hierarchical Architecture Design and Simulation Environment (HASE) is a tool for modelling and simulating computer architectures. Using HASE, designers can create and explore architectural designs at diierent levels of abstraction through a graphical interface based on X-Windows/Motif and can view the results of the simulation through animation of the design drawings. 1 The Motivation Advan...