Add to ORKGThis paper describes how a runtime support library can be used as compiler runtime support in irregular applications. The CHAOS runtime support library carries out optimizations designed to reduce communication costs by performing software caching, communication coalescing and inspector/executor preprocessing. CHAOS also supplies special purpose routines to support specific types of irregular reduction and runtime support for partitioning data and work between processors. A number of adaptive irregular codes have been parallelized using the CHAOS library and performance results from these codes are also presented in this paper
For better utilization of computing resources, it is important to consider parallel programming envi...
Abstract. How can we exploit a microprocessor as efficiently as possi-ble? The “classic ” approach i...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...
This paper presents a library called CHAOS, which helps users implement irregular programs on distri...
In many scientific applications, arrays containing data are indirectly indexed through indirection a...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
There are many important applications in computational fluid dynamics, circuit simulation and struct...
Procedures are presented that are designed to help users efficiently program irregular problems (e.g...
For better utilization of computing resources, it is important to consider parallel programming envi...
For better utilization of computing resources, it is important to consider parallel programming envi...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
Compared to traditional compile-time optimization, run-time optimization could offer signi@...
This paper presents methods that make it possible to efficiently support irregular problems using da...
Irregular computation problems underlie many important scientific applications. Although these probl...
For better utilization of computing resources, it is important to consider parallel programming envi...
Abstract. How can we exploit a microprocessor as efficiently as possi-ble? The “classic ” approach i...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...
This paper presents a library called CHAOS, which helps users implement irregular programs on distri...
In many scientific applications, arrays containing data are indirectly indexed through indirection a...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access ...
There are many important applications in computational fluid dynamics, circuit simulation and struct...
Procedures are presented that are designed to help users efficiently program irregular problems (e.g...
For better utilization of computing resources, it is important to consider parallel programming envi...
For better utilization of computing resources, it is important to consider parallel programming envi...
In recent years, distributed memory parallel machines have been widely recognized as the most likely...
Compared to traditional compile-time optimization, run-time optimization could offer signi@...
This paper presents methods that make it possible to efficiently support irregular problems using da...
Irregular computation problems underlie many important scientific applications. Although these probl...
For better utilization of computing resources, it is important to consider parallel programming envi...
Abstract. How can we exploit a microprocessor as efficiently as possi-ble? The “classic ” approach i...
Irregularity arises in different contexts and causes different problems in parallel computing. We di...