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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (1999)
Newport Beach, California
Oct. 12, 1999 to Oct. 16, 1999
ISSN: 1089-795X
ISBN: 0-7695-0425-6
pp: 169
Martin Schulz , Technische Universit?t M?nchen
Markus Leberecht , Technische Universit?t M?nchen
Wolfgang Karl , Technische Universit?t M?nchen
ABSTRACT
Modern low-latency and high-bandwidth interconnects like the Scalable Coherent Interface (SCI) deliver high communication performance for parallel and distributed systems. However, the performance of an SCI-based compute cluster with NUMA characteristics depends on the efficient use of local memory accesses. Therefore, programming and tool environments for such systems with distributed shared memory (DSM) should enable and exploit data locality.In this paper, we present an event-driven hybrid monitoring approach for a SCI-based PC cluster with hardware-supported DSM. The core of that concept is a hardware monitor which is able to observe the fine-grained nature of the communication in such a parallel system with minimal impact to the system. The hardware monitor delivers in real-time detailed information about the communication and runtime of an examined program. The monitoring system allows the user an optimal evaluation of the network behavior and hence of the data locality of that parallel program.
INDEX TERMS
Scalable Coherent Interface (SCI), cluster computing, hardware-monitoring, data locality optimization
CITATION
Martin Schulz, Markus Leberecht, Wolfgang Karl, "Optimizing Data Locality for SCI-Based PC-Clusters with the SMiLE Monitoring Approach", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 169, 1999, doi:10.1109/PACT.1999.807523
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