A software tool called Computer-Aided Scheduling (CASCH) for parallel processing on distributed-memory multiprocessors in a complete parallel programming environment is presented. A compiler automatically converts sequential applications into parallel codes to perform program parallelization. The parallel code that executes on a target machine is optimized by CASCH through proper scheduling and mapping.published_or_final_versio
The prevalence of multicore processors is bound to drive most kinds of software development towards ...
This book presents scheduling models for parallel processing, problems defined on the grounds of cer...
Automatic partitioning, scheduling and code generation are of major importance in the development of...
The lack of a versatile software tool for parallel program development has been one of the major obs...
Abstract † The lack of a versatile software tool for parallel program development has been one of th...
The authors explain the testing results they achieved in developing an experimental software tool ca...
of parallelization—potentially improving their performance—and, because manu-ally performing these t...
Proposes a parallel randomized algorithm, called PFAST (Parallel Fast Assignment using Search Techni...
Abstract † In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignmen...
As both the number of processors and the complexity of problems to be solved increase, programming m...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Task mapping and scheduling are two very difficult problems that must be addressed when a sequential...
In the area of parallelizing compilers, considerable research has been carried out on data dependenc...
Inter-process communication and scheduling are notorious problem areas in the design of real-time sy...
In order to achieve the high performance, we need to have an efficient scheduling of a parallelprogr...
The prevalence of multicore processors is bound to drive most kinds of software development towards ...
This book presents scheduling models for parallel processing, problems defined on the grounds of cer...
Automatic partitioning, scheduling and code generation are of major importance in the development of...
The lack of a versatile software tool for parallel program development has been one of the major obs...
Abstract † The lack of a versatile software tool for parallel program development has been one of th...
The authors explain the testing results they achieved in developing an experimental software tool ca...
of parallelization—potentially improving their performance—and, because manu-ally performing these t...
Proposes a parallel randomized algorithm, called PFAST (Parallel Fast Assignment using Search Techni...
Abstract † In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignmen...
As both the number of processors and the complexity of problems to be solved increase, programming m...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Task mapping and scheduling are two very difficult problems that must be addressed when a sequential...
In the area of parallelizing compilers, considerable research has been carried out on data dependenc...
Inter-process communication and scheduling are notorious problem areas in the design of real-time sy...
In order to achieve the high performance, we need to have an efficient scheduling of a parallelprogr...
The prevalence of multicore processors is bound to drive most kinds of software development towards ...
This book presents scheduling models for parallel processing, problems defined on the grounds of cer...
Automatic partitioning, scheduling and code generation are of major importance in the development of...