FSM Models As formulated in prior work, Figure 2 shows the FSM model for each of the 512 branch history table entries.15-17 A cold start initializes all entries in the branch history table to the start state, strong not taken. Any conditional branch whose address directly maps to the same branch history table entry will cause transitions in that entry’s FSM when the branch is resolved in the ex...

Finite state machine (FSM) is a computation model that consists of a finite set of states, a start state, an input alphabet, and a transition function that defines the next state and/or outputs based on the current state and input symbols. Finding an equivalent FSM with minimal number of states is generally referred as state minimization or state reduction (SR) problem. State minimization is an...

BACKGROUND Assessment of health effects of a forest environment is an important emerging area of public health and environmental sciences. PURPOSE To demonstrate the long-term health effects of living in a forest environment on subclinical cardiovascular diseases (CVDs) and health-related quality of life (HRQOL) compared with that in an urban environment. MATERIALS AND METHODS This study in...

In the yeasts Schizosaccharomyces pombe and Saccharomyces cerevisiae, sporulation involves de novo synthesis of forespore membrane (FSM) within the cytoplasm of mother cells. The FSM ultimately becomes the plasma membrane of the developing ascospores. Several protein components of the FSM have been identified. Visualization of these proteins has demonstrated the dynamic nature of the genesis an...

Family background or home environment can be an indicator of how people’s engagement with the community is manifested. Using Stress Model (FSM) as a lens to evaluate external and internal family impact on child useful tool in supporting children from different social economic backgrounds. There has been growing body work demonstrating stress youth, specifically via FSM cultural groups...

In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM to run-time paths to highlight repeating sequences of interest by using alternative support counting techniques. We show how the patterns identified, can be used to highlight design flaws in enterprise applications. ...

This paper is devoted to the derivation of distinguishing sequences for timed Finite State Machines (FSM). Such distinguishing sequences are used when deriving a test suite for a timed FSM with the guaranteed fault coverage.

| A generalization of the classical state minimization problem for Finite State Machine (FSM) is proposed and discussed. In contrast to classical state minimization algorithms that minimize in one dimension (states), our algorithmminimizes the FSM in two dimensions: the numbers of both input symbols and internal state symbols are minimized in an iterative sequence of input minimization and stat...

Finite State Machines (FSM) are a fundamental building block in computer architecture, and are used to control and optimize all types of prediction and speculation, now even in the embedded space. They are used for branch prediction, cache replacement policies, and confidence estimation and accuracy counters for a variety of optimizations. In this paper, we present a framework for automated des...

This study investigated the relationship between flounder skin meal (FSM) and vitamin C in mediating collagen biosynthesis. Based on the vitamin C requirements (150 mg/kg) of the black rockfish (mean body weight 10.05 ± 0.44 g), a vitamin C level of 400 mg/kg was selected, and 0, 5, 10, or 20% of the casein (purified proteins) in the diet was replaced with FSM. The feeding study was conducted f...