Dynamic model driven architecture (DMDA) is a architecture made to aid in the development of parallel computing code. This thesis is applied to an implementation of DMDA known as DMDA3 that should convert graphs of computations into efficient computation code, and it deals with the translation of Platform Specific Models (PSM) into running systems. Currently DMDA3 can generate schedules of operations but not finished code. This thesis describes a DMDA3 module that turns a schedule of operations into a runable program. Code was obtained from the DMDA3 schedules by reflection and a framework was build that allowed generation of low level language code from schedules. The module is written in Java and can currently generate C and Fortran code ...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
Inter-process communication and scheduling are notorious problem areas in the design of real-time sy...
In this paper, we survey loop parallelization algorithms, analyzing the dependence representations t...
Dynamic model driven architecture (DMDA) is a architecture made to aid in the development of paralle...
Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on d...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
Parallel programming is hard and programmers still struggle to write code for shared memory multicor...
We describe a parallel programming tool for scheduling static task graphs and generating the appropr...
code generation, modulo scheduling, software pipelining, instruction scheduling, register allocation...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Automatic partitioning, scheduling and code generation are of major importance in the development of...
International audienceSince the early beginning of computer history, one has needed programming lang...
Graduation date: 1988A translator has been designed and implemented which generates\ud parallel code...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
Inter-process communication and scheduling are notorious problem areas in the design of real-time sy...
In this paper, we survey loop parallelization algorithms, analyzing the dependence representations t...
Dynamic model driven architecture (DMDA) is a architecture made to aid in the development of paralle...
Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on d...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
Parallel programming is hard and programmers still struggle to write code for shared memory multicor...
We describe a parallel programming tool for scheduling static task graphs and generating the appropr...
code generation, modulo scheduling, software pipelining, instruction scheduling, register allocation...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Automatic partitioning, scheduling and code generation are of major importance in the development of...
International audienceSince the early beginning of computer history, one has needed programming lang...
Graduation date: 1988A translator has been designed and implemented which generates\ud parallel code...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
Inter-process communication and scheduling are notorious problem areas in the design of real-time sy...
In this paper, we survey loop parallelization algorithms, analyzing the dependence representations t...