The Design and Performance of the jRate Real-Time Java Implementation
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Sequoia: programming the memory hierarchy
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Sequoia: programming the memory hierarchy
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
An Approach To Data Distributions in Chapel
International Journal of High Performance Computing Applications
JEOPARD: Java environment for parallel real-time development
JTRES '08 Proceedings of the 6th international workshop on Java technologies for real-time and embedded systems
Enhancing the platform independence of the real-time specification for Java
Proceedings of the 7th International Workshop on Java Technologies for Real-Time and Embedded Systems
JEOPARD -- Java Environment for Parallel Real-Time Development
ISORC '09 Proceedings of the 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
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The memory architecture of non-uniform memory access (NUMA) systems cause applications to experience variable delays when accessing the main memory. The Real-Time Specification for Java assumes that all memory is uniformly accessed and provides limited support to control the allocation policies of threads and objects. As a result, programmers are unable to predict the behaviour of applications running on NUMA systems. This paper proposes a framework which gives visibility and more control to the programmers over the allocation policies of threads and objects on NUMA systems. A prototype implementation running on top of jRate and Linux has been evaluated on a 16 processor cc-NUMA platform by using the Sieve of Eratosthenes algorithm. Our initial results show that a 4 fold improvement in performance can be obtained by giving the programmer control over thread and object placement.