Performance characterization of the HEP
on Parallel MIMD computation: HEP supercomputer and its applications
Performance Prediction and Calibration for a Class of Multiprocessors
IEEE Transactions on Computers
Behavioral characterization of multiprocessor memory systems: a case study
SIGMETRICS '89 Proceedings of the 1989 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Comparative evaluation of latency reducing and tolerating techniques
ISCA '91 Proceedings of the 18th annual international symposium on Computer architecture
Cache Invalidation Patterns in Shared-Memory Multiprocessors
IEEE Transactions on Computers
A framework for multiprocessor performance characterization and calibration
A framework for multiprocessor performance characterization and calibration
Micro benchmark analysis of the KSR1
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
Machine Characterization and Benchmark Performance Prediction
Machine Characterization and Benchmark Performance Prediction
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On large-scale multiprocessors, access to common memory is one of the key performance limiting factors. The shared-memory performance depends not only on the characteristics of the memory hierarchy itself, but also upon the characteristics of the memory address streams and the interaction between the two. We present a technique for multiprocessor workload construction and a family of artificial kernels, called MAD-kernels, to systematically investigate the behavior of the memory hierarchy. The measured performance is independent of any particular application or algorithm. The proposed methodology is demonstrated on two commercial shared-memory systems.