Titlebook: Automatic Parallelization; New Approaches to Co Christoph W. Keßler Book 1994 Springer Fachmedien Wiesbaden 1994 Fortran.Processing.Scala.a

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The Architecture of Group Supervisionis programming style. Given a Fortran D program, the compiler uses data layout directives to automatically generate a single-program, multiple data (SPMD) node program for a given distributed-memory target machine.

Temporal-Lobe

Knowledge-Based Automatic Parallelization by Pattern Recognition,ediction of the performance of the parallelized target code than usually possible. Together with mathematical background knowledge and parallel compiler engineering, this opens access to a new potential for automatic parallelization that has never been exploited before.

Anguish

LEER

Surface, have rapidly gained user acceptance and promise to deliver the computing power required to solve the grand challenge problems of Science and Engineering. These machines are relatively inexpensive to build, and are potentially scalable to large numbers of processors. However, they are diffic

弯腰

Optometrist

SNAP! Prototyping a Sequential and Numerical Application Parallelizer,escribes our approach for automatic parallelizing sequential FORTRAN programs for distributed—memory MIMD architectures. Annotations are not needed and data distribution is done automatically at compile time.

Tremor

Bucket

ATRIA

Automatic Parallelization for Distributed Memory Multiprocessors,ace at compile time and uses several parameters of the used DMM like the startup time and the byte transfer time. The paper also describes a prototype implementation of the framework on an Intel iPSC/860 for the language Pascal and discusses some experimental evaluations.