Add to ORKGThis paper describes the implementation of autoscheduling on shared memory multiprocessors. Autoscheduling is a model of computation that provides efficient support for multiprocessing and multiprogramming in a general purpose multiprocessor by exploiting parallelism at different levels of granularity. The vehicle for implementing autoscheduling is the hierarchical task graph (HTG), an intermediate program representation that encapsulates the information on control and data dependencesat all levels. In this paper we discuss the fundamentals of autoscheduling and describe how the HTG can be used by an autoscheduling compiler to generate object code that exploits the parallelism present in the program. We also discuss several implementations ...
Abstract—This article studies the scheduling problem of a set of tasks with time or data constraints...
Parallel programs are usually modeled by task graphs which are directed acyclic graphs. Their vertic...
A major obstacle towards the adoption of multi-core platforms for real-time systems is given by the ...
This thesis addresses the problem of implementing the autoscheduling model of computation on convent...
The ease of programming and compiling for the shared memory multiprocessor model, coupled with the s...
The limitation of vector supercomputing and of device speed has led to the development of multiproce...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
A wide variety of computer architectures have been proposed to exploit parallelism at different gran...
International audienceA parallel program needs to manage the trade-off between the time spent in syn...
This thesis explores a fundamental issue in large-scale parallel computing: how to schedule tasks on...
The major problem addressed by this research is the development of one or more scheduling heuristics...
Efficiently scheduling parallel tasks on to the processors of a shared-memory multiprocessor is crit...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Imprecise computation and parallel processing are two techniques for avoiding timing faults and tole...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
Abstract—This article studies the scheduling problem of a set of tasks with time or data constraints...
Parallel programs are usually modeled by task graphs which are directed acyclic graphs. Their vertic...
A major obstacle towards the adoption of multi-core platforms for real-time systems is given by the ...
This thesis addresses the problem of implementing the autoscheduling model of computation on convent...
The ease of programming and compiling for the shared memory multiprocessor model, coupled with the s...
The limitation of vector supercomputing and of device speed has led to the development of multiproce...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
A wide variety of computer architectures have been proposed to exploit parallelism at different gran...
International audienceA parallel program needs to manage the trade-off between the time spent in syn...
This thesis explores a fundamental issue in large-scale parallel computing: how to schedule tasks on...
The major problem addressed by this research is the development of one or more scheduling heuristics...
Efficiently scheduling parallel tasks on to the processors of a shared-memory multiprocessor is crit...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Imprecise computation and parallel processing are two techniques for avoiding timing faults and tole...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
Abstract—This article studies the scheduling problem of a set of tasks with time or data constraints...
Parallel programs are usually modeled by task graphs which are directed acyclic graphs. Their vertic...
A major obstacle towards the adoption of multi-core platforms for real-time systems is given by the ...