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The Cray Research MPP Fortran Programming Model.- Resource Optimisation via Structured Parallel Programming.- SYNAPS/3 - An Extension of C for Scientific Computations.- The Pyramid Programming System.- Intelligent Algorithm Decomposition for Parallelism with Alfer.- Symbolic Array Data Flow Analysis and Pattern Recognition in Numerical Codes.- A GUI for Parallel Code Generation.- Formal Techniques Based on Nets, Object Orientation and Reusability for Rapid Prototyping of Complex Systems.- Adaptor - A Transformation Tool for HPF Programs.- A Parallel Framework for Unstructured Grid Solvers.- A Study of Software Development for High Performance Computing.- Parallel Computational Frames: An Approach to Parallel Application Development based on Message Passing Systems.- A Knowledge-Based Scientific Parallel Programming Environment.- Parallel Distributed Algorithm Design Through Specification Transformation: The Asynchronous Vision System.- Steps Towards Reusability and Portability in Parallel Programming.- An Environment for Portable Distributed Memory Parallel Programming.- Reuse, Portability and Parallel Libraries.- Assessing the Usability of Parallel Programming Systems: The Cowichan Problems.- Experimentally Assessing the Usability of Parallel Programming Systems.- Experiences with Parallel Programming Tools.- The MPI Message Passing Interface Standard.- An Efficient Implementation of MPI.- Post: A New Postal Delivery Model.- Asynchronous Backtrackable Communications in the SLOOP Object-Oriented Language.- A Parallel I/O System for High-Performance Distributed Computing.- Language and Compiler Support for Parallel I/O.- Locality in Scheduling Models of Parallel Computation.- A Load Balancing Algorithm for Massively Parallel Systems.- Static Performance Prediction in PCASE: A Programming Environment for Parallel Supercomputers.- A Performance Tool for High-Level Parallel Programming Languages.- Implementation of a Scalable Trace Analysis Tool.- The Design of a Tool for Parallel Program Performance Analysis and Tuning.- The MPP Apprentice Performance Tool: Delivering the Performance of the Cray T3D.- Optimized Record-Replay Mechanism for RPC-based Parallel Programming.- Abstract Debugging of Distributed Applications.- Design of a Parallel Object-Oriented Linear Algebra Library.- A Library for Coarse Grain Macro-Pipelining in Distributed Memory Architectures.- An Improved Massively Parallel Implementation of Colored Petri-Net Specifications.- A Tool for Parallel System Configuration and Program Mapping based on Genetic Algorithms.- Emulating a Paragon XP/S on a Network of Workstations.- Evaluating VLIW-in-the-large.- Implementing a N-Mixed Memory Model on a Distributed Memory System.- Working Group Report: Reducing the Complexity of Parallel Software Development.- Working Group Report: Usability of Parallel Programming System.- Working Group Report: Skeletons/Templates.
Understanding Virtual Reality: Interface, Application, and Design, Second Edition arrives at a time when the technologies behind virtual reality have advanced dramatically. The book helps users take advantage of the ways they can identify and prepare for the applications of VR in their field. By approaching VR as a communications medium, the authors have created a resource that will remain relevant even as underlying technologies evolve. Included are a history of VR, systems currently in use, the application of VR, and the many issues that arise in application design and implementation, including hardware requirements, system integration, interaction techniques and usability. - Features substantive, illuminating coverage designed for technical or business readers and the classroom - Examines VR's constituent technologies, drawn from visualization, representation, graphics, human-computer interaction and other fields - Provides (via a companion website) additional case studies, tutorials, instructional materials, and a link to an open-source VR programming system - Includes updated perception material and new sections on game engines, optical tracking, VR visual interface software, and a new glossary with pictures
Rae Earnshawand John A. Vince --_. . _----- 1 Introduction The USPresident's Information Technology Advisory Committee (PITAC)recently advised the US Senate of the strategic importance of investing in IT for the 21st century, particularlyin the areas of software,human-computer interaction, scalable information infrastructure, high-end computing and socioeconomic issues [1]. Research frontiers ofhuman-computer interaction include the desire that interac tion be more centered around human needs and capabilities, and that the human environment be considered in virtual environments and in other contextual infor mation-processing activities. The overall goal is to make users more effective in their information or communication tasks by reducing learning times, speeding performance, lowering error rates, facilitating retention and increasing subjective satisfaction. Improved designs can dramatically increase effectiveness for users, who range from novices to experts and who have diverse cultures with varying educational backgrounds. Their lives could be made more satisfying, their work safer, their learning easier and their health better.
Space may have been called the "final frontier," but there are new frontiers to discover every day and engineers are the ones exploring them. Through groundbreaking research and cutting-edge technologies, engineers are now able to go beyond traditional boundaries, doing things that would have been all but impossible just a few short years ago. A sample of these exciting frontiers is revealed in this new publication from the National Academy of Engineering, which looks at new and emerging technologies to explain how they were developed and what new benefits they will bring. The book also highlights the kinds of pioneering research and technological work being done by some of the country's emerging leaders in engineering. Topics covered include microelectromechanical systems, design research, computer-generated visualization for design and display, and innovations in materials and processes.
When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap
Visualization and mathematics have begun a fruitful relationship, establishing links between problems and solutions of both fields. In some areas of mathematics, like differential geometry and numerical mathematics, visualization techniques are applied with great success. However, visualization methods are relying heavily on mathematical concepts. Applications of visualization in mathematical research and the use of mathematical methods in visualization have been topic of an international workshop in Berlin in June 1995. Selected contributions treat topics of particular interest in current research. Experts are reporting on their latest work, giving an overview on this fascinating new area. The reader will get insight to state-of-the-art techniques for solving visualization problems and mathematical questions.
The evolution of modern computers began more than 50 years ago and has been driven to a large extend by rapid advances in electronic technology during that period. The first computers ran one application (user) at a time. Without the benefit of operating systems or compilers, the application programmers were responsible for managing all aspects of the hardware. The introduction of compilers allowed programmers to express algorithms in abstract terms without being concerned with the bit level details of their implementation. Time sharing operating systems took computing systems one step further and allowed several users and/or applications to time share the computing services of com puters. With the advances of networks and software tools, users and applications were able to time share the logical and physical services that are geographically dispersed across one or more networks. Virtual Computing (VC) concept aims at providing ubiquitous open computing services in analogous way to the services offered by Telephone and Elec trical (utility) companies. The VC environment should be dynamically setup to meet the requirements of a single user and/or application. The design and development of a dynamically programmable virtual comput ing environments is a challenging research problem. However, the recent advances in processing and network technology and software tools have successfully solved many of the obstacles facing the wide deployment of virtual computing environments as will be outlined next.
Space may have been called the "final frontier," but there are new frontiers to discover every day and engineers are the ones exploring them. Through groundbreaking research and cutting-edge technologies, engineers are now able to go beyond traditional boundaries, doing things that would have been all but impossible just a few short years ago. A sample of these exciting frontiers is revealed in this new publication from the National Academy of Engineering, which looks at new and emerging technologies to explain how they were developed and what new benefits they will bring. The book also highlights the kinds of pioneering research and technological work being done by some of the country's emerging leaders in engineering. Topics covered include microelectromechanical systems, design research, computer-generated visualization for design and display, and innovations in materials and processes.
From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.