Abstract-This paper presents a parameterizable, coarsegrained, reconfigurable fabric model that attempts to maintain Field Programmable Gate Array (FPGA)-like programmability and Computer Aided Design (CAD), with Application Specific Integrated Circuit (ASIC)-like power characteristics for Digital Signal Processing (DSP) style applications. Using this model, architectural design space decisions are explored in order to define an energy-efficient fabric. The impact on energy and performance due to the variation of different parameters such as datawidth and interconnection flexibility has been studied. The multiplexer cardinality usage has also been studied by mapping some of the signal processing applications onto the fabric. The results point to the use of power optimized 32-bit width computational elements interconnected by low cardinality multiplexers like 4:1 multiplexers.

Background: Service member retention is a crucial aspect in maintaining and advancing the U.S. military and its mission. To increase retention, it is important to understand why active duty personnel voluntarily leave while they are still highly qualified. For married service members, spouses likely influence the decision to stay or leave military service. Objective: The current study used data from the Millennium Cohort Family Study for 4,539 dyads comprising service members and their spouses to investigate family predictors of voluntary military separation. Methods: Multivariate mediation analyses were conducted to evaluate the role of military satisfaction (spouse and service member) and work-family conflict as mediators of the effects of both family life and military stressors on risk for military separation, while accounting for spouse and service member demographics.

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