RPPM : Rapid Performance Prediction of Multithreaded workloads on multicore processors

Analytical performance modeling is a useful complement to detailed cycle-level simulation to quickly explore the design space in an early design stage. Mechanistic analytical modeling is particularly interesting as it provides deep insight and does not require expensive offline profiling as empirical modeling. Previous work in mechanistic analytical modeling, unfortunately, is limited to single-threaded applications running on single-core processors. This work proposes RPPM, a mechanistic analytical performance model for multi-threaded applications on multicore hardware. RPPM collects microarchitecture-independent characteristics of a multi-threaded workload to predict performance on a previously unseen multicore architecture. The profile needs to be collected only once to predict a range of processor architectures. We evaluate RPPM's accuracy against simulation and report a performance prediction error of 11.2% on average (23% max). We demonstrate RPPM's usefulness for conducting design space exploration experiments as well as for analyzing parallel application performance

Using School-Based Career Development to Support College and Career Readiness: An Integrative Review

For current college and career readiness efforts to be effective, it is important to recognize the value and contribution of career development activities in schools and take a critical look at the most effective strategies, programs, and research in this area. This integrative review synthesizes research related to the impact of school-based career development on student achievement, retention, post-secondary transitions, and other career-related outcomes. Using an iterative key word search, in multiple scholarly databases including JSTOR, PsycInfo, and EBSCOhost Fulltext Finder, 157 studies published in years 1961-2017 were selected for this review. Findings are examined within the context of college and career readiness. Implications for school counseling research, evaluation, practice, and policy are discussed

A Systematic Literature Review of School-Counsellor-Led Group Counselling Interventions Targeting Academic Achievement: Implications for Research and Practice

This article reviews group counselling interventions conducted by school counsellors that aimed to improve academic achievement. A total of 12 studies met these criteria. The studies that used comprehensive/comparative tests and GPA as academic achievement outcome measures had moderate to large effect sizes. Secondly, this review broadly examined whether a protocol or group manual was used, the number of group sessions, and demographic information of the group leaders and students. Implications and recommendations for future research are provided including exploring more international articles

Reconceptualizing the Achieving Success Everyday Group Counseling Model to Focus on the Strengths of Black Male Middle School Youth

Scholarship focused on Black male students in school counseling has been intermittent despite being well documented in the larger field of education and other disciplines. In this article, we conducted a systematic review of the school counseling literature that focused on Black male students. We used critical race theory (CRT) to examine the programs and interventions that have been published with Black male participants in school settings within the school counseling literature and examined the role that school counselors took when supporting Black male students’ academic, social emotional, college and career identity development. We reconceptualize the Achieving Success Everyday (ASE) group model (Steen et al., 2014) and call for others to use the ASE group model to combat racism and foster Black excellence

Modeling superscalar processor memory-level parallelism

This paper proposes an analytical model to predict Memory-Level Parallelism (MLP) in a superscalar processor. We profile the workload once and measure a set of distributions to characterize the workload's inherent memory behavior. We subsequently generate a virtual instruction stream, over which we then process an abstract MLP model to predict MLP for a particular micro-architecture with a given ROB size, LLC size, MSHR size and stride-based prefetcher. Experimental evaluation reports an improvement in modeling error from 16.9 percent for previous work to 3.6 percent on average for the proposed model

Equipping School Counselors for Antiracist Healing Centered Groups: A Critical Examination of Preparation, Connected Curricula, Professional Practice and Oversight

This paper highlights the potential for school counselors to promote antiracist practices and racial healing engagement utilizing small group counseling to ultimately eliminate inequities in schools. However, counselor educator programs, founded on middle to upper class white ideals, worldviews, and narrowly focused theoretical frameworks, currently function in ways that fail to equip future school counselors with the group facilitation knowledge, skills, and dispositions necessary for equitable practice in schools across the nation using case illustrations and a broad current literature review, the authors conceptualize the rationale for more competencies beyond group course assignment, clinical requirements (e.g., CACREP standards, 2016), practice, and supervision. Critical questions for counselor educators to reflect upon for group and connected curricula transformation are provided

RPPM : rapid performance prediction of multithreaded applications on multicore hardware

This paper proposes RPPM which, based on a microarchitecture-independent profile of a multithreaded application, predicts its performance on a previously unseen multicore platform. RPPM breaks up multithreaded program execution into epochs based on synchronization primitives, and then predicts per-epoch active execution times for each thread and synchronization overhead to arrive at a prediction for overall application performance. RPPM predicts performance within 12 percent on average (27 percent max error) compared to cycle-level simulation. We present a case study to illustrate that RPPM can be used for making accurate multicore design trade-offs early in the design cycle