thakurmcsanlgov choudharcatsyredu A number of applications on parallel computers deal with very large data sets that cannot t in main memory In such applications data must be stored in les on disks and fetched into memory during program execution Parallel programs with large outofcore arrays stored in les must readwrite smaller sections of the arrays fromto les In this paper we describe a method for accessing sections of outofcore arrays eciently Our method the extended twophase method uses collective IO Processors cooperate to combine several IO requests into fewer larger granularity requests reorder requests so that the le is accessed in proper sequence and eliminate simultaneous IO requests for the same data In addition the ...
As applications become more and more complex, it is becoming extremely important to have sufficient ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Abstract: Irregular reduction operations are the core of many large scientific and engineering appli...
A number of applications on parallel computers deal with very large data sets that cannot fit in mai...
ABSTRACT A number of applications on parallel computers deal with very large data sets that cannot f...
The difficulty of handling out-of-core data limits the performance of supercomputers as well as the ...
This paper describes techniques for translating out-of-core programs written in a data parallel lang...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Distributed memory parallel computers or distributed computer systems are widely recognized as the o...
This paper describes optimization techniques for translating out-of-core programs written in a data ...
Datasets used in scientific and engineering applications are often modeled as dense multi-dimensiona...
In this paper, we show that communication in the out-of-core distributed memory problems requires bo...
Several numerical computation algorithms exhibit dependences that lead to a wavefront of the computa...
Driven by the motivation to expose instruction-level parallelism (ILP), microprocessor cores have ev...
Two approaches to architecture-independent parallel computation are investigated: a constructive fun...
As applications become more and more complex, it is becoming extremely important to have sufficient ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Abstract: Irregular reduction operations are the core of many large scientific and engineering appli...
A number of applications on parallel computers deal with very large data sets that cannot fit in mai...
ABSTRACT A number of applications on parallel computers deal with very large data sets that cannot f...
The difficulty of handling out-of-core data limits the performance of supercomputers as well as the ...
This paper describes techniques for translating out-of-core programs written in a data parallel lang...
New file systems are critical to obtain good I/O performance on large multiprocessors. Several resea...
Distributed memory parallel computers or distributed computer systems are widely recognized as the o...
This paper describes optimization techniques for translating out-of-core programs written in a data ...
Datasets used in scientific and engineering applications are often modeled as dense multi-dimensiona...
In this paper, we show that communication in the out-of-core distributed memory problems requires bo...
Several numerical computation algorithms exhibit dependences that lead to a wavefront of the computa...
Driven by the motivation to expose instruction-level parallelism (ILP), microprocessor cores have ev...
Two approaches to architecture-independent parallel computation are investigated: a constructive fun...
As applications become more and more complex, it is becoming extremely important to have sufficient ...
Many scientific applications are I/O intensive and have tremendous I/O requirements, including check...
Abstract: Irregular reduction operations are the core of many large scientific and engineering appli...