Interprocessor communication in Dataparallel C

Multicomputers and multiprocessors, first introduced in the mid 1980s, employ large numbers of microprocessors working in parallel to achieve high performance at low cost. These parallel machines represent an exciting new generation in supercomputing, but their usefulness is currently limited by inadequate programming languages and environments. This problem is being partially addressed through research conducted jointly at Oregon State University and the University of New Hampshire on a new programming language called Dataparallel C. As its name implies, Dataparallel C is an extension to C designed for programming parallel machines. Two Dataparallel C compilers have been developed -- one for a shared memory, Sequent multiprocessor and one for the distributed memory, nCUBE 3200 and Intel iPSC/2 machines. One of the attractive features of Dataparallel C is that interprocessor communication is implicit -- supplied by the compiler rather than the programmer. To provide this feature, the distributed memory compiler relies on a run-time library of interprocessor communication routines. The library reduces the complexity of the compiler, while increasing its portability and improving the efficiency of the compiled programs. This report describes interprocessor communications in Dataparallel C and the development of the run-time library. General techniques are discussed and each routine is described in detail

Working Papers: Astronomy and Astrophysics Panel Reports

The papers of the panels appointed by the Astronomy and Astrophysics survey Committee are compiled. These papers were advisory to the survey committee and represent the opinions of the members of each panel in the context of their individual charges. The following subject areas are covered: radio astronomy, infrared astronomy, optical/IR from ground, UV-optical from space, interferometry, high energy from space, particle astrophysics, theory and laboratory astrophysics, solar astronomy, planetary astronomy, computing and data processing, policy opportunities, benefits to the nation from astronomy and astrophysics, status of the profession, and science opportunities

Analytical models of a fault-tolerant multiple module microprocessor system

Imperial Users onl

Governance of/through Big Data (vol. 2)

These two volumes collect twenty five articles and papers published within the “Governance of/through Data” research project financed by the Italian Ministry of Universities. The research project, which was promoted by Roma Tre University, as project lead, and saw the participation of professors and reseachers from Bocconi University in Milan; LUMSA University in Rome; Salento University in Lecce and Turin Polytechnic, cover multiple issues which are here presented in five sections: Algorithms and artificial intelligence; Antitrust, artificial intelligence and data; Big Data; Data governance; Data protection and privacy