Operating system support for improving data locality on CC-NUMA compute servers
Proceedings of the seventh international conference on Architectural support for programming languages and operating systems
Using the SimOS machine simulator to study complex computer systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Memory system characterization of commercial workloads
Proceedings of the 25th annual international symposium on Computer architecture
Memory System Behavior of Java-Based Middleware
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
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By simulating a real computer it is possible to gain a detailed knowledge of the cache memory utilization of an application, e.g., a partial differential equation (PDE) solver. Using this knowledge, we can discover regions with intricate cache memory performance. Furthermore, this information makes it possible to identify performance bottlenecks. In this paper, we employ full system simulation of a shared memory computer to perform a case study of three different PDE solver kernels with respect to cache memory performance. The kernels implement state-of-the-art solution algorithms for complex application problems and the simulations are performed for data sets of realistic size. We discovered interesting properties in the solvers, which can help us to improve their performance in the future.