Abstract—Dynamic scheduling algorithms have been success-fully used for parallel computations of nested loops in traditional parallel computers and clusters. In this paper we propose a new architecture, implementing a coarse grain dynamic loop scheduling, suitable for reconfigurable hardware platforms. We use an analytical model and a case study to evaluate the performance of the proposed architecture. This approach makes efficient memory and processing elements use and thus gives better results than previous approaches. I
High performance parallel and distributed computing systems are used to solve large, complex, and da...
Abstract—In the design process of high-throughput ap-plications, design choices concerning the type ...
In the design process of high-throughput applications, design choices concerning the type of process...
Abstract — Distributed Computing Systems are a viable and less expensive alternative to parallel com...
Abstract—Efficient scheduling of parallel loops in a network of computers can significantly reduce t...
. Dynamic loop scheduling algorithms can suffer from overheads due to synchronisation, loss of local...
AbstractWe here present ATLS, a self scheduling scheme designed for execution of parallel loops in d...
The paper presents dynamic loop scheduling (DLS), a loop-based algorithm that can efficiently schedu...
In a parallel system with multiple CPUs, one of the key prob-lems is to assign loop iterations to pr...
This paper addresses the hardware implementation of a dynamic scheduler for non-manifest data depend...
We consider the problem of scheduling parallel loops that are characterized by highly varying execut...
Coarse-grained reconfigurable architectures have be-come increasingly important in recent years. Aut...
The parallelization of complex, irregular scientific applications with various computational require...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
High performance parallel and distributed computing systems are used to solve large, complex, and da...
Abstract—In the design process of high-throughput ap-plications, design choices concerning the type ...
In the design process of high-throughput applications, design choices concerning the type of process...
Abstract — Distributed Computing Systems are a viable and less expensive alternative to parallel com...
Abstract—Efficient scheduling of parallel loops in a network of computers can significantly reduce t...
. Dynamic loop scheduling algorithms can suffer from overheads due to synchronisation, loss of local...
AbstractWe here present ATLS, a self scheduling scheme designed for execution of parallel loops in d...
The paper presents dynamic loop scheduling (DLS), a loop-based algorithm that can efficiently schedu...
In a parallel system with multiple CPUs, one of the key prob-lems is to assign loop iterations to pr...
This paper addresses the hardware implementation of a dynamic scheduler for non-manifest data depend...
We consider the problem of scheduling parallel loops that are characterized by highly varying execut...
Coarse-grained reconfigurable architectures have be-come increasingly important in recent years. Aut...
The parallelization of complex, irregular scientific applications with various computational require...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
Parallel applications are highly irregular and high performance computing (HPC) infrastructures are ...
High performance parallel and distributed computing systems are used to solve large, complex, and da...
Abstract—In the design process of high-throughput ap-plications, design choices concerning the type ...
In the design process of high-throughput applications, design choices concerning the type of process...