Analysis of multithreaded architectures for parallel computing
SPAA '90 Proceedings of the second annual ACM symposium on Parallel algorithms and architectures
Comparative evaluation of latency reducing and tolerating techniques
ISCA '91 Proceedings of the 18th annual international symposium on Computer architecture
Improved multithreading techniques for hiding communication latency in multiprocessors
ISCA '92 Proceedings of the 19th annual international symposium on Computer architecture
The accuracy of trace-driven simulations of multiprocessors
SIGMETRICS '93 Proceedings of the 1993 ACM SIGMETRICS conference on Measurement and modeling of computer systems
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Advanced Computer Architecture: Parallelism,Scalability,Programmability
Advanced Computer Architecture: Parallelism,Scalability,Programmability
Performance Evaluation of Latency Tolerant Architectures
ICCI '92 Proceedings of the Fourth International Conference on Computing and Information: Computing and Information
Two Fundamental Limits on Dataflow Multiprocessing
PACT '93 Proceedings of the IFIP WG10.3. Working Conference on Architectures and Compilation Techniques for Fine and Medium Grain Parallelism
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Simulation is a powerful tool for studying behavior of novel architectures and improving their performance. However, the time, effort and resources invested in developing a reliable simulator with the required level of detail may become prohibitively large. In this paper, we present a simulation platform specifically designed to simulate the class of multithreaded architectures. The most important features of this simulator are its flexibility and ease of use. The simulation model provides the user with a wide range of design criteria, architectural parameters and workload characteristics. The simulation platform includes several tools, such as: an experiment planner, an interface to Matlab for processing and displaying results, and an interface to PVM for the execution of independent experiments in parallel. The simulation model is validated by comparison of analytical and experimental results.