774,686 research outputs found

    On the Tradeoff between Speedup and Energy Consumption in High Performance Computing – A Bioinformatics Case Study

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    High Performance Computing has been very useful to researchers in the Bioinformatics, Medical and related fields. The bioinformatics domain is rich in applications that require extracting useful information from very large and continuously growing sequence of databases. Automated techniques such as DNA sequencers, DNA microarrays & others are continually growing the dataset that is stored in large public databases such as GenBank and Protein DataBank. Most methods used for analyzing genetic/protein data have been found to be extremely computationally intensive, providing motivation for the use of powerful computers or systems with high throughput characteristics. In this paper, we provide a case study for one such bioinformatics application called BLAT running in a high performance computing environment. We use sequences gathered from researchers and parallelize the runs to study the performance characteristics under three different query and data partitioning models. This research highlights the need to carefully develop a parallel model with energy awareness in mind, based on our understanding of the application and then appropriately designing a parallel model that works well for the specific application and domain. We found that the BLAT program is highly parallelizable and a high degree of speedup is achievable. The experiments suggest that the speed up depends on model used for query and database segmentation

    On the Tradeoff between Speedup and Energy Consumption in High Performance Computing – A Bioinformatics Case Study

    Get PDF
    High Performance Computing has been very useful to researchers in the Bioinformatics, Medical and related fields. The bioinformatics domain is rich in applications that require extracting useful information from very large and continuously growing sequence of databases. Automated techniques such as DNA sequencers, DNA microarrays & others are continually growing the dataset that is stored in large public databases such as GenBank and Protein DataBank. Most methods used for analyzing genetic/protein data have been found to be extremely computationally intensive, providing motivation for the use of powerful computers or systems with high throughput characteristics. In this paper, we provide a case study for one such bioinformatics application called BLAT running in a high performance computing environment. We use sequences gathered from researchers and parallelize the runs to study the performance characteristics under three different query and data partitioning models. This research highlights the need to carefully develop a parallel model with energy awareness in mind, based on our understanding of the application and then appropriately designing a parallel model that works well for the specific application and domain. We found that the BLAT program is highly parallelizable and a high degree of speedup is achievable. The experiments suggest that the speed up depends on model used for query and database segmentation

    The Battle for Critical Internet Resources: South America vs. Amazon.com, Inc.

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    Purpose – To analyze the controversy about the allocation of critical Internet resources generated by ICANN's new gTLD program with a particular focus on the .AMAZON TLD. Methodology/approach/design – This article presents an exploratory case study about the .AMAZON controversy. The initial analysis of this ongoing research is based on data collected from various reports and media coverage on ICANN's new gTLD policy. The article draws from political economy theory to analyze disputes about critical Internet resources. Findings – This article discusses preliminary findings of the .AMAZON case, a contested prime example in ICANN's efforts to extend the Internet's domain name space. Practical implications – The findings may inform related controversies in the gTLD program and contribute to a differentiated understanding of CIR allocation in Internet governance, and respective policy-making. Originality/value – The value of this article is the specific discussion of the .AMAZON case in the larger context of ICANN's new gTLD program, and its analysis that describes the controversy from a property rights perspective

    The Battle for Critical Internet Resources: South America vs. Amazon.com, Inc.

    Get PDF
    Purpose – To analyze the controversy about the allocation of critical Internet resources generated by ICANN's new gTLD program with a particular focus on the .AMAZON TLD. Methodology/approach/design – This article presents an exploratory case study about the .AMAZON controversy. The initial analysis of this ongoing research is based on data collected from various reports and media coverage on ICANN's new gTLD policy. The article draws from political economy theory to analyze disputes about critical Internet resources. Findings – This article discusses preliminary findings of the .AMAZON case, a contested prime example in ICANN's efforts to extend the Internet's domain name space. Practical implications – The findings may inform related controversies in the gTLD program and contribute to a differentiated understanding of CIR allocation in Internet governance, and respective policy-making. Originality/value – The value of this article is the specific discussion of the .AMAZON case in the larger context of ICANN's new gTLD program, and its analysis that describes the controversy from a property rights perspective

    Transition from lecture based to activity based teaching through whole school improvement in Gilgit-Baltistan Pakistan

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    The study sets out to answer the question, “How and to what extent has Whole School Improvement Program influenced the teachers to shift from lecture to activity based teaching and learning processes in the project schools in Gilgit-Baltistan of Pakistan? The study was conducted in two Whole School Improvement Programme (WSIP) project schools in district Gilgit from public and private education sector of Pakistan. A case study approach was used in qualitative paradigm and Context, Input, Process and Product model was used in data collection and analysis to evaluate the input given by Professional Development Teachers (PDTs) and outcomes of the program. Two head teachers, ten teachers, twelve students participated from both sample schools in the study. The focus was on one of the areas from the WSIP model: “quality of teaching and learning”. The study revealed that many positive changes have occurred in the domain of teaching/learning as a result of Whole School Improvement Programme. These include teachers planning lessons with clear objectives and activities, and they were reflecting on their executed lessons to find strengths, weaknesses and alternatives to overcome them. They were applying activity based teaching in a conducive learning environment by involving students in teaching and learning. They were also enriching the curriculum by using low-cost, no-cost and existing resources in their schools to develop students’ relational understanding and for student-centred teaching. Head teachers of schools were supportive in using activity based teaching. As a result of these practices teachers and students changed their behaviour towards teaching and learning process and enforced participative approaches in classroom teaching. The study also revealed that there were factors which supported or hindered the transition from lecture to activity based teaching and in both sample schools. Besides these factors changes were noted in the practices of head teachers, teachers and students in teaching and learning practices in favour of activity based teaching

    Preservice elementary school teachers' knowledge of fractions: a mirror of students' knowledge?

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    This research analyses preservice teachers' knowledge of fractions. Fractions are notoriously difficult for students to learn and for teachers to teach. Previous studies suggest that student learning of fractions may be limited by teacher understanding of fractions. If so, teacher education has a key role in solving the problem. We first reviewed literature regarding students' knowledge of fractions. We did so because assessments of required content knowledge for teaching require review of the students' understanding to determine the mathematics difficulties encountered by students. The preservice teachers were tested on their conceptual and procedural knowledge of fractions, and on their ability in explaining the rationale for a procedure or the conceptual meaning. The results revealed that preservice teachers' knowledge of fractions indeed is limited and that last-year preservice teachers did not perform better than first-year preservice teachers. This research is situated within the broader domain of mathematical knowledge for teaching and suggests ways to improve instruction and student learning

    A framework for the contextual analysis of computer-based learning environments

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