Introduction A wide range of applications make use of regular dynamic data structures. Dynamic data structures are typically required because either the size of the data structure cannot be determined at compile-time or the form of the data structure depends upon the data that it contains which is not known until runtime. Some commonly used regular data structures include link lists, trees, and two dimensional meshes. Lists and trees are used by applications such as the N-body problem [10] and sparse Cholesky factorization [8, 11], dynamic meshes are used for solving partial differential equations and quad-trees are used by applications such as solid modeling, geographic information systems, and robotics [9]. Recently researchers have focu...
We present algorithms for the transportation of data in parallel and distributed systems that would ...
INTRODUCTION The SPMD (Single-Program Multiple-Data Stream) model has been widely adopted as the ba...
Literature on parallel algorithms and data structures is vast. In fact, the literature has grown wit...
. We present compiler optimization techniques for explicitly parallel programs that communicate thro...
Traditionally, applications executed on distributed memory architectures in single-program multiple-...
Real parallel applications find little benefits from code portability that does not guarantee accept...
We describe a novel approach to sparse and dense SPMD code generation: we view arrays (sparse and d...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
this paper, we describe the programming environment called DAME (DAta Migration Environment) that su...
We describe a novel approach to sparse {\em and} dense SPMD code generation: we view arrays (sparse ...
Data parallel programming languages, such as HPF, are the easiest way to program Distributed Memory ...
The goal of the research described in this article is to develop flexible language constructs for wr...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
We present algorithms for the transportation of data in parallel and distributed systems that would ...
INTRODUCTION The SPMD (Single-Program Multiple-Data Stream) model has been widely adopted as the ba...
Literature on parallel algorithms and data structures is vast. In fact, the literature has grown wit...
. We present compiler optimization techniques for explicitly parallel programs that communicate thro...
Traditionally, applications executed on distributed memory architectures in single-program multiple-...
Real parallel applications find little benefits from code portability that does not guarantee accept...
We describe a novel approach to sparse and dense SPMD code generation: we view arrays (sparse and d...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
this paper, we describe the programming environment called DAME (DAta Migration Environment) that su...
We describe a novel approach to sparse {\em and} dense SPMD code generation: we view arrays (sparse ...
Data parallel programming languages, such as HPF, are the easiest way to program Distributed Memory ...
The goal of the research described in this article is to develop flexible language constructs for wr...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
We present algorithms for the transportation of data in parallel and distributed systems that would ...
INTRODUCTION The SPMD (Single-Program Multiple-Data Stream) model has been widely adopted as the ba...
Literature on parallel algorithms and data structures is vast. In fact, the literature has grown wit...