Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Engineering

Webwork: Integrated Programming Environment Tools For National And Grand Challenges, Geoffrey C. Fox, Wojtek Furmanski, Marina Chen, Claudio Rebbi, James H. Cowie Jan 1995

Webwork: Integrated Programming Environment Tools For National And Grand Challenges, Geoffrey C. Fox, Wojtek Furmanski, Marina Chen, Claudio Rebbi, James H. Cowie

Physics - All Scholarship

Challenging-scale problems consistently demand solutions that fuse geographically distributed and heterogeneous data, personnel, expertise, and resources. For example, national health care problems require collaboration among experts of fields as diverse as medical informatics, public policy, robotics, and high performance computing to solve problems ranging from telemedicine to cost management and quality control. Indeed, many National Challenges include Grand Challenges as subcomponents. We can pose the Integrated Challenge as the solution of etaproblems hosted on world-wide metacomputers linking all three aspects: simulation, information processing, and collaboration. We suggest a hybrid approach to Integrated Challenges that combines World-Wide Web (WWW) technologies with …


Software And Hardware Requirements For Some Applications Of Parallel Computing To Industrial Problems, Geoffrey C. Fox Jan 1995

Software And Hardware Requirements For Some Applications Of Parallel Computing To Industrial Problems, Geoffrey C. Fox

Northeast Parallel Architecture Center

We discuss the hardware and software requirements that appear relevant for a set of industrial applications of parallel computing, these are divided into 33 separate categories, and come from a recent survey of industry in New York State. The software discussions includes data parallel languages, message passing, databases, and high-level integration systems. The analysis is based on a general classification of problem architectures originally developed for academic applications of parallel computing. Suitable hardware architectures are suggested for each application. The general discussion is crystalized with three case studies: computational chemistry, computational fluid dynamics, including manufacturing, and Monte Carlo Methods.


Techniques For Scheduling I/O In A High Performance Multimedia-On-Demand Server, Divyesh Jadav, Chutimet Srinilta, Alok Choudhary, P. B. Berra Jan 1995

Techniques For Scheduling I/O In A High Performance Multimedia-On-Demand Server, Divyesh Jadav, Chutimet Srinilta, Alok Choudhary, P. B. Berra

Electrical Engineering and Computer Science - All Scholarship

One of the key components of a multi-user multimedia-on-demand system is the data server. Digitalization of traditionally analog data such as video and audio, and the feasibility of obtaining network bandwidths above the gigabit-per-second range are two important advances that have made possible the realization, in the near future, of interactive distributed multimedia systems. Secondary-to-main memory I/O technology has not kept pace with advances in networking, main memory and CPU processing power. Consequently, the performance of the server has a direct bearing on the overall performance of such a system. In this paper we present a high-performance solution to the …


Runtime Support For In-Core And Out-Of-Core Data-Parallel Programs, Rajeev Thakur Jan 1995

Runtime Support For In-Core And Out-Of-Core Data-Parallel Programs, Rajeev Thakur

Electrical Engineering and Computer Science - All Scholarship

Distributed memory parallel computers or distributed computer systems are widely recognized as the only cost-effective means of achieving teraflops performance in the near future. However, the fact remains that they are difficult to program and advances in software for these machines have not kept pace with advances in hardware. This thesis addresses several issues in providing runtime support for in-core as well as out-of-core programs on distributed memory parallel computers. This runtime support can be directly used in application programs for greater efficiency, portability and ease of programming. It can also be used together with a compiler to translate programs …