S. Nemawarkar, R. Govindarajan, G. Gao, and V. Agarwal. Analysis of Multithreaded Architectures with Distributed Shared Memory. In Proceedings of the 5th IEEE Symposium on Parallel and Distributed Processing, pages 114--121, Dallas, TX, 1993. IEEE. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Evaluating the Performance of Multithreading and Prefetching.. - Bianchini, Lim (1996) (1 citation) (Correct)
....number of concurrent threads and high network bandwidth to achieve high processor utilization. Previous experimental research on multithreading performance shows that multithreading is effective at tolerating memory latencies for some applications [17, 33, 18, 32] Previous analytical research [2, 29, 27, 14] focuses on modeling processor utilization and predicting the number of contexts needed for good processor utilization. In contrast, this paper combines analytical models and experimental measurements in a novel way. It defines a range of run lengths where multithreading is profitable, and ....
....to increased memory traffic and cache pollution. ffl The models ignore the impact of multithreading and prefetching on program synchronization performance and scheduling. 3. 1 A Performance Model for Multithreading Previous research has presented sophisticated models of multithreading performance [2, 29, 27, 14] that focus on predicting processor utilization as accurately as possible. These models attempt to account for the effect of multithreading on other system parameters such as cache and network behavior. In contrast, we use a simple model of processor utilization and extend it to predict the limits ....
S. Nemawarkar, R. Govindarajan, G. Gao, and V. Agarwal. Analysis of Multithreaded Architectures with Distributed Shared Memory. In Proceedings of the 5th IEEE Symposium on Parallel and Distributed Processing, pages 114--121, Dallas, TX, 1993. IEEE.
Limits On The Performance Benefits Of Multithreading And.. - Lim, Bianchini (1995) (7 citations) (Correct)
....threads are available, and enough network bandwidth exists. Previous experimental research in evaluating multithreading performance has shown that multithreading can be effective at tolerating memory and synchronization latencies for some applications [15, 30, 29] Previous analytical research [2, 26, 24, 13] has focused on modeling processor utilization and predicting the number of contexts necessary to achieve a reasonably high level of processor utilization. In contrast, this paper combines analytical models and experimental measurements and applies the analysis in a novel way. It considers the ....
....differences in latencies and run lengths. ffl The analysis ignores the impact of multithreading and prefetching on program synchronization performance and on scheduling. 3. 1 A Performance Model for Multithreading Previous research has presented sophisticated models of multithreading performance [2, 26, 24, 13] that focus on predicting processor utilization as accurately as possible. These models attempt to account for the effect of multithreading on other system parameters such as cache and network behavior. In contrast, this research uses a simple model of processor utilization and extends it to ....
S.S. Nemawarkar, R. Govindarajan, G.R. Gao, and V.K. Agarwal. Analysis of Multithreaded Architectures with Distributed Shared Memory. In Proceedings of the 5th IEEE Symposium on Parallel and Distributed Processing, pages 114--121, Dallas, TX, 1993. IEEE.
Limits on the Performance Benefits of Multithreading and.. - Lim, Bianchini (1996) (7 citations) (Correct)
....a large number of concurrent threads and high network bandwidth to achieve high processor utilization. Previous experimental research on multithreading performance shows that multithreading is effective at tolerating memory latencies for some applications [13, 26] Previous analytical research [1, 23, 21, 11] focuses on modeling processor utilization and predicting the number of contexts needed for good processor utilization. In contrast, this paper combines analytical models and experimental measurements in a novel way. It defines a range of runlengths where multithreading is profitable, and compares ....
S.S. Nemawarkar, R. Govindarajan, G.R. Gao, and V.K. Agarwal. Analysis of Multithreaded Architectures with Distributed Shared Memory. In Proceedings of the 5th IEEE Symposium on Parallel and Distributed Processing, pages 114--121, Dallas, TX, 1993. IEEE.
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