Out-of-core applications consume physical resources at a rapid rate, causing interactive applications sharing the same machine to exhibit poor response times. This behavior is the result of default resource management strategies in the OS that are inappropriate for memory-intensive applications. Using an approach that integrates compiler analysis with simple OS support and a runtime layer that adapts to dynamic conditions, we have shown that the impact of out-of-core applications on interactive ones can be greatly mitigated. A combination of prefetching pages that will soon be needed, and releasing pages no longer in use results in good throughput for the out-of-core task and good response time for the interactive one. Each class of applica...
Most scientific programs have large input and output data sets that require out-of-core programming ...
Most compiler optimizations focus on saving time and sometimes occur at the expense of increasing si...
Over the last several decades, two important shifts have taken place in the computing world: first, ...
For a large class of scientific computing applications, the continuing growth in physical memory cap...
For a large class of scientific computing applications, the continuing growth in physical memory cap...
Current operating systems offer poor performance when a numeric application's working set does ...
tions expressed in this material are those of the authors and do not necessarily reflect the views o...
Computer systems now run drastically different workloads than they did two decades ago. The enormous...
Program redundancy analysis and optimization have been an important component in optimizing compiler...
Current operating systems offer poor performance when a numeric application’s working set does not f...
textThe programming language and underlying hardware determine application performance, and both ar...
textThe programming language and underlying hardware determine application performance, and both ar...
While a conventional program uses exactly as much memory as it needs, the memory use of a garbage-co...
While CPU speed has been improved by a factor of 6400 over the past twenty years, memory bandwidth h...
Memory bloat is loosely defined as an excessive memory usage by an application during its execution....
Most scientific programs have large input and output data sets that require out-of-core programming ...
Most compiler optimizations focus on saving time and sometimes occur at the expense of increasing si...
Over the last several decades, two important shifts have taken place in the computing world: first, ...
For a large class of scientific computing applications, the continuing growth in physical memory cap...
For a large class of scientific computing applications, the continuing growth in physical memory cap...
Current operating systems offer poor performance when a numeric application's working set does ...
tions expressed in this material are those of the authors and do not necessarily reflect the views o...
Computer systems now run drastically different workloads than they did two decades ago. The enormous...
Program redundancy analysis and optimization have been an important component in optimizing compiler...
Current operating systems offer poor performance when a numeric application’s working set does not f...
textThe programming language and underlying hardware determine application performance, and both ar...
textThe programming language and underlying hardware determine application performance, and both ar...
While a conventional program uses exactly as much memory as it needs, the memory use of a garbage-co...
While CPU speed has been improved by a factor of 6400 over the past twenty years, memory bandwidth h...
Memory bloat is loosely defined as an excessive memory usage by an application during its execution....
Most scientific programs have large input and output data sets that require out-of-core programming ...
Most compiler optimizations focus on saving time and sometimes occur at the expense of increasing si...
Over the last several decades, two important shifts have taken place in the computing world: first, ...