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Cheng Liao, Dongming Jiang, Liviu Iftode, Margaret Martonosi, and Dou- glas W. Clark. Monitoring Shared Virtual Memory Performance on a Myrinet-based PC Cluster. In Proceedings of the 1998 International Conference on Supercomputing, pages 251 - 258, 1998.

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This paper is cited in the following contexts:
Parallelization of Sparse Cholesky Factorization on an SMP .. - Shigehisa Satoh Kazuhiro (1999)   (1 citation)  (Correct)

....parallel programs for shared address space multiprocessors. Although there are several studies which use the SPLASH 2 programs for performance evaluation, a few works are done for Cholesky on clusters. Some studies on clusters of uniprocessors use Cholesky for evaluation of software DSM systems[6][7][8] These works show that the efficient parallel execution of Cholesky is difficult due to high synchronization overheads. In this paper, we present parallel implementations and performance evaluation of Cholesky on an SMP cluster COMPaS. The original program is already parallelized using PARMACS ....

C. Liao, et al, Monitoring Shared Virtual Memory Performance on a Myrinet-based PC Cluster, in Proceedings of the International Conference on Supercomputing, pages 251--258, July 1998.


Performance Portability and Scalability in Shared-Address-Space.. - Jiang (2000)   Self-citation (Jiang)   (Correct)

....Simulator Although real SVM systems are available, a detailed simulator provides the possibility, as well as ease, of in depth performance debugging. The simulator has been validated against a real SVM cluster [5] Performance monitor and tools are also being developed on our real SVM systems [55]. Our simulation environment is built on top of augmint [70] an execution driven simulator using the x86 instruction set, and runs on x86 systems. It models a cluster of 16 uniprocessor nodes connected with a commodity Myrinet like interconnect [10] Contention is modeled in great detail at all ....

....good initial partitioning when using task stealing, and for managing task queues more carefully on SVM to reduce synchronization and contention. Since the synchronization bottleneck experienced in Raytrace on SVM platforms was very unexpected, identifying it required help from performance tools [55]. Once it was diagnosed, however, it was trivial to fix, though at the cost of some accuracy in statistics gathering (this too can be improved by using private variables to reduce the need for global locking) The subsequent relatively small improvement from changing the task queue structure was ....

C. Liao, D. Jiang, L. Iftode, M. Martonosi, and D. Clark. Monitoring shared virtual memory performance on a myrinet-based pc cluster. In the 12th ACM International Conference on Supercomputing, July 1998.


Home-based Shared Virtual Memory - Iftode (1998)   (30 citations)  Self-citation (Iftode)   (Correct)

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C. Liao, D. Jiag, L. Iftode, M. Martonosi, and D. Clark. Monitoring Shared Virtual Memory Performance on a Myrinet-based PC Cluster. In The ACM International Conference on Supercomputing, 1998.


Performance Monitoring in a Myrinet-Connected Shrimp Cluster - Liao, Martonosi, Clark (1998)   (11 citations)  Self-citation (Liao Martonosi Clark)   (Correct)

....coordination between the performance monitor and the upper layer communication system is necessary to better understand the primitives. We have implemented an interface between the performance monitor and SVM system to study the page fetch, lock acquire and barrier operations in the SVM system [18]. We hope to build a general interface of this kind so it can coordinate with other communication systems easily and productively. Moreover, in the future, we would like to explore the possibility of integrating dynamically adaptive functionalities into the performance monitor. Currently it can ....

C. Liao, D. Jiang, L. Iftode, M. Martonosi, and D. W. Clark. Monitoring shared virtual memory performance on a Myrinet-based PC cluster. In Proc. of the 12th ACM Intl. Conf. on Supercomputing, 1998.


Analyzing Multi-Threaded Program Performance with μProfiler - Zak (2000)   (Correct)

No context found.

Cheng Liao, Dongming Jiang, Liviu Iftode, Margaret Martonosi, and Dou- glas W. Clark. Monitoring Shared Virtual Memory Performance on a Myrinet-based PC Cluster. In Proceedings of the 1998 International Conference on Supercomputing, pages 251 - 258, 1998.


Data Locality Optimization of Shared Memory Programs on NUMA.. - Tao   (Correct)

No context found.

C. Liao, D. Jiang, L. Iftode, M. Martonosi, and D. W. Clark. Monitoring Shared Virtual Memory Performance on a Myrinet-based PC Cluster. In Proceedings of International Conference on Supercomputing, pages 251--258, 1998.

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