ML-RSIM Reference Manual
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منابع مشابه
A Simulator for Relative Descriptions 1
This report deals with the qualitative simulation of physical systems based on descriptions relative to normal behavior. Relative descriptions are important because some kinds of system behavior cannot adequately be described by absolute descriptions. In particular, this is true for faulty behavior that is often viewed relative to the normal case. Most of the existing approaches use relative de...
متن کاملRSIM : An Execution - Driven Simulator for ILP - BasedShared
This paper describes RSIM { the Rice Simulator for ILP Multiprocessors { Version 1.0. RSIM simulates shared-memory multiprocessors (and unipro-cessors) built from processors that aggressively exploit instruction-level parallelism (ILP). RSIM is execution-driven and models state-of-the-art ILP processors , an aggressive memory system, and a multi-processor coherence protocol and interconnect, in...
متن کاملRSIM An Execution Driven Simulator for ILP Based Shared Memory Multiprocessors and Uniprocessors
This paper describes RSIM the Rice Simulator for ILP Multiprocessors Version RSIM sim ulates shared memory multiprocessors and unipro cessors built from processors that aggressively ex ploit instruction level parallelism ILP RSIM is execution driven and models state of the art ILP pro cessors an aggressive memory system and a multi processor coherence protocol and interconnect includ ing conten...
متن کاملThe design and utility of the ML-RSIM system simulator
Execution-driven simulation has become the primary method for evaluating architectural techniques as it facilitates rapid design space exploration without the cost of building prototype hardware. To date, most simulation systems have either focused on the cycle-accurate modeling of user-level code while ignoring operating system and I/O effects, or have modeled complete systems while abstractin...
متن کاملAn Object-Oriented Binary Change Detection Method Using Nearest Neighbor Classification
Threshold selection is a critical step in using binary change detection methods. The threshold determines the accuracy of change detection results but is highly subjective and scene-dependent, depending on the familiarity with the study area and the analyst’s skill. Nearest neighbor classification is a nonparametric classifier, which was applied to remove the threshold. In order to find the mos...
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