Niu L.,Claflin University
Proceedings -Design, Automation and Test in Europe, DATE | Year: 2011
In this paper, we present a system level dynamic scheduling algorithm to minimize the energy consumption by the DVS processor and multiple non-DVS peripheral devices in a hard real-time system. We show that the previous work which adopts the critical speed as the lower bound for scaling might not be most energy efficient when the energy overhead of shutting-down/waking-up is not negligible. Moreover, the widely used statically defined break even idle time might not be overall energy efficient due to its independence of job execution situations. In our approach, we first present an approach to enhance the computation of break even idle time dynamically. Then a dynamic scheduling approach is proposed in the management of speed determination and task preemption to reduce the energy consumption of the processor and devices. Compared with existing research, our approach can effectively reduce the system-level energy consumption for both CPU and peripheral devices. © 2011 EDAA. Source
Niu L.,Claflin University
Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010 | Year: 2010
While the dynamic voltage scaling (DVS) techniques are efficient in reducing the dynamic energy consumption for the processor, varying voltage alone becomes less effective for the overall energy reduction as the static power is growing rapidly. On the other hand, Quality of Service (QoS) is also a primary concern in the development of today's pervasive computing systems. In this paper, we propose a dynamic approach to minimize the overall energy consumption for soft real-time systems while ensuring the QoS-guarantee. The QoS requirements are deterministically quantified with the window-constraints, which require that at least m out of each non-overlapped window of k consecutive jobs of a task meet their deadlines. Necessary and sufficient conditions for checking the feasibility of task sets with arbitrary service times and periods are developed to ensure that the window-constraints can be guaranteed in the worst case. And efficient scheduling techniques based on pattern variation and dynamic slack reclaiming extensions are proposed to combine the task procrastination and dynamic slowdown to minimize the energy consumption. In contrast to the previous leakage-aware slack reclaiming work which never scales the job speed below the critical speed, we will show that it can be more energy efficient to reclaim the slack with speed lower than the critical speed when necessary. Through extensive simulations, our experiment results demonstrate that the proposed techniques significantly outperformed the previous research in both overall and idle energy reduction. © 2010 IEEE. Source
Agency: NSF | Branch: Standard Grant | Program: | Phase: | Award Amount: 50.27K | Year: 2014
An award is made to Claflin University for the purchase of an automated nuclear magnetic resonance (NMR) sample changer to do NMR-based metabolomics research. The field of metabolomics focuses on changes to the small molecules that make up metabolism upon some stressful event or condition. NMR serves as an excellent detector of these small compounds; and statistical analysis is applied to many NMR sample replicates to increase the robustness of the metabolomics technique. The addition of an automated sample changer to Claflin?s existing 700 MHz NMR not only will make metabolomics research more efficient, but also the NMR will be more user-friendly. Specifically, the SampleCaseTM is mounted to the instrument at user height and eliminates the use of a ladder. Undergraduate students will gain more access to collecting NMR data and be trained in cutting-edge NMR-based metabolomics research. Claflin University has the third highest field NMR laboratory in the state of South Carolina, just behind the Medical University of South Carolina (MUSC) and the Hollings Marine Laboratory (HML). Although a predominately undergraduate university and HBCU (Historically Black Colleges and Universities), Claflins NMR facility is becoming a state and nation wide shared facility with six collaborative metabolomics projects and plans to secure major users of the instrument from other future collaborative partners. The automated sample changer will enhance the current instrument capabilities, and is in line with the chemistry departments mission to not only become a state level shared NMR facility, but to support and enhance undergraduate research participation. With the addition of an automatic sample changer, Claflins NMR facility will be more attractive to outside users as well as be able to accommodate multiple undergraduate metabolomics research projects. Housed in the Molecular Science and Research Center (MSRC) on Claflin?s campus, the extraordinary collection of state of the art instrumentation, including the 700 MHz Bruker NMR spectrometer, is unmatched by any other HBCU. PI Boroujerdis laboratory specializes in NMR-based metabolomics research; however, with such a high field magnet, the capability to collect and analyze large bio-molecular samples via NMR is possible and open to any external users.
Claflin undergraduates love NMR-based metabolomics research. PI Boroujerdi is the newest biochemistry faculty member at Claflin, and since the beginning of her tenure three years ago, her metabolomics group has grown exponentially (currently with to 14 undergraduate students, 4 graduate students, and 1 staff). The nature of metabolomics lends itself to collaborations which is ideal for Claflin undergraduates whose research interest are spread far and wide in basic biology research. With 6 collaborators across the nation, and the recent interest in metabolomics research at Claflin, the demand for the 700 MHz NMR has dramatically increased to the point of saturation. With automatic sample collection, the large number of routine one dimensional 1H spectra can be collected more efficiently, and the extremely inefficient personnel time wasted on manual sample insertion and data collection will be refocused on bench work and data analysis, further increasing the quality and quantity of data produced by the metabolomics group. In order to accommodate the increasing number of undergraduates participating in metabolomics research, which includes the requirement for science majors to write and defend a senior thesis prior to graduation, many projects and collaborators have been established, which translates into a large number of NMR samples and a need for more efficient NMR data collection. Sample preparation, interpretation of results, manuscript writing, and presenting results will be increased with the addition of an automated sample changer. Instead of devoting personnel time to manual routine NMR data collection, while data is collected in automation, PI Boroujerdi can devote her time to training undergraduates in metabolite extraction techniques, statistical analysis of NMR data, and combing the literature to understand the biological implications of the metabolomics results.
Agency: NSF | Branch: Continuing grant | Program: | Phase: HIST BLACK COLLEGES AND UNIV | Award Amount: 1.09M | Year: 2014
Implementation Projects in the Historically Black Colleges and Universities - Undergraduate program provide support to design, implement, study and assess comprehensive institutional efforts to increase the numbers of students and the quality of their preparation by strengthening science, technology, engineering and mathematics (STEM) education and research. This implementation project at Claflin University focuses on the disciplines of biology, chemistry, computer science and mathematics to provide an array of computational technologies in order to support and educate the next-generation of data scientists who can work in a multi-disciplinary environment. Claflin University has a proven record of graduating a significant number of African-American students in STEM fields and through this implementation project that number is projected to increase. The project is guided and informed by an on-going evaluation.
The goals of the proposed project are to increase graduation and placement rates of students in the STEM workforce; to infuse research and education in a STEM-based computational curriculum; to promote computational science research to improve the quality of experiences and prepare STEM students to compete in a global society; and to use the strengths and assets of core partners to propel students towards a STEM career. The project will create relationships with federal and national laboratories, industry and other universities. The project involves faculty and undergraduate students to conduct research in the areas of metabolites and biomolecules using analytical instrumentation and methodology; in methods for retrieving and analyzing biological data; as well as in optimization, computational complexity, statistical modeling and machine learning.
Agency: NSF | Branch: Standard Grant | Program: | Phase: | Award Amount: 300.00K | Year: 2011
The Claflin University Start Partnership for Improving Mathematics and Science (CUSP-IMS) is focusing on development of a sustainable infrastructure and a model for an integrative approach to deepen students conceptual knowledge and improve their achievement in mathematics and science at the elementary school level in South Carolina. The partnership brings together science, technology, engineering, mathematics and education faculty and researchers at Claflin University and Voorhees College (both of which are minority-serving institutions) with public school educators and curriculum developers in Orangeburg Consolidated School District 5 and Bamberg School District 2, located in rural settings in one of the most underserved regions in South Carolina. The CUSP-IMS project is enhancing Claflin Universitys and Voorhees Colleges existing collaborations with local school districts, as well as expanding the partnership to include additional minority-serving colleges and universities and non-urban, underserved school districts.
The project is exploring creative and transformative strategies for building a cohesive partnership to design, implement, and evaluate curricular materials that integrate mathematics with science, and to prepare teachers with the necessary pedagogical and content knowledge to use the materials effectively. The MSP-Start Partnership planning period is being used to conduct a needs assessment and design a strategic plan for a suite of activities that include, 1) review of existing elementary school science and mathematics curricula and classroom experiences and the extent of their alignment with project goals; 2) assessment of teachers most critically important professional development needs, particularly as they relate to mathematics and science content; 3) development of evaluation tools that will improve the science and mathematics achievement of elementary school students in the rural communities served by the partnering institutions; 4) evaluation of the district partners resources to achieve the project goals and how they are being distributed; and 5) establishment of a set of working guidelines and core values from which the developing partnership will operate. The evaluation of the CUSP-IMS is using qualitative and quantitative approaches to document the process of developing a sustainable partnership model, and the readiness to develop a full MSP-Targeted Partnership project.