The architecture of the Data Explorer, a scientific visualization system, is described. Data Explorer supports the visualization of a wide variety of data by means of a flexible set of visualization modules. A single powerful data model common to all modules allows a wide range of data types to be imported and passed between modules. There is integral support for parallelism, affecting the data model and the execution model. The visualization modules are highly interoperable, due in part to the common data model, and exemplified by the renderer. An execution model facilitates parallelization of modules and incorporates optimizations such as caching. The two-process client-server system structure consists of a user interface that communicates with an executive via a dataflow language.>

We present an updated report on the NYU Ultracomputer design emphasizing recent results on programming, operating systems, caching, demand paging, and I/O.The user's view of the Ultracomputer is presented along with the hardware and software implementation.Freedom from serial bottlenecks in both hardware and software allows the Ultracomputer to obtain performance that scales nearly linearly in the size of the machine for a broad spectrum of problems.

We present the design for the NYU Ultracomputer, a shared-memory MIMD parallel machine composed of thousands of autonomous processing elements. This machine uses an enhanced message switching network with the geometry of an Omega-network to approximate the ideal behavior of Schwartz's paracomputer model of computation and to implement efficiently the important fetch-and-add synchronization primitive. We outine the hardware that would be required to build a 4096 processor system using 1990's technology. We also discuss system software issues, and present analytic studies of the network performance. Finally, we include a sample of our effort to implement and simulate parallel variants of important scientific p̀rograms.

We present the design for the NYU Ultracomputer, a shared-memory MIMD parallel machine composed of thousands of autonomous processing elements. This machine uses an enhanced message switching network with the geometry of an Omega-network to approximate the ideal behavior of Schwartz's paracomputer model of computation and to implement efficiently the important fetch-and-add synchronization primitive. We outline the hardware that would be required to build a 4096 processor system using 1990's technology. We also discuss system software issues, and present analytic studies of the network performance. Finally, we include a sample of our effort to implement and simulate parallel variants of important scientific programs.