440 research outputs found
Team led by Argonne National Laboratory, Virginia Tech wins Storage Challenge Competition
A team of researchers led by Pavan Balaji of Argonne National Laboratory and Wu Feng of Virginia Tech won an international competition for the most effective approach in using large-scale storage for high-performance computing
Researchers part of team receiving supercomputing honors
Pavan Balaji of Argonne National Laboratory and Wu Feng of the Department of Computer Science in Virginia Tech's College of Engineering led an international team of researchers that received the International Supercomputing Conference 2008 Distinguished Paper Award
2022 IEEE Long Island Systems, Applications and Technology Conference (LISAT 2022)
Uma Balaji (with Patrick Evans, Ryan Avery, Maxwell Malcy, and Maverick Ruiz) is a contributing author, Multipurpose Solar Charging Station.https://digitalcommons.fairfield.edu/engineering-books/1079/thumbnail.jp
Proceedings of the International Conference on Computers Communication and Devices, (ICCCD, 2000)
Uma Balaji is a contributing author, Computer aided design of e-plane diplexer.
Book description:
Papers presented at the International Conference on Computers Communication and Devices, (ICCCD, 2000), Indian Institute of Technology, Kharagpur, Dec 2000.https://digitalcommons.fairfield.edu/engineering-books/1035/thumbnail.jp
Submerged mandibular carious deciduous second molar along with an impacted second premolar associated with an atypical inflammatory follicular cyst: A rare case report
The author presents a case of submerged carious deciduous molar along with an inflammatory atypical follicular cyst associated with an impacted mandibular second premolar in the right mandible identified through clinical and routine radiological examination including cone beam computed tomography and histopathology. The involvement of submerged deciduous molar with dental caries by itself a rare occurrence and an impacted permanent premolar tooth associated with an infected follicular cyst is still more a rare event
An Evaluation of Emerging Many-Core Parallel Programming Models
In this work we directly evaluate several emerging parallel program- ming models: Kokkos, RAJA, OpenACC, and OpenMP 4.0, against the mature CUDA and OpenCL APIs. Each model has been used to port TeaLeaf, a miniature proxy application, or mini-app, that solves the heat conduction equation, and belongs to the Mantevo suite of applications. We find that the best performance is achieved with device-tuned implementations but that, in many cases, the performance portable models are able to solve the same problems to within a 5-20% performance penalty. The models expose varying levels of complexity to the developer, and they all present reasonable performance, therefore we believe that complexity will become the major influencer in the long-term adoption of such models
SYBL: An Extensible Language for Controlling Elasticity in Cloud Applications
Elasticity in cloud computing is a complex problem, regarding not only resource elasticity but also quality and cost elasticity, and most importantly, the relations among the three. Therefore, existing support for controlling elasticity in complex applications, focusing solely on resource scaling, is not adequate. In this paper we present SYBL - a novel language for controlling elasticity in cloud applications - and its runtime system. SYBL allows specifying in detail elasticity monitoring, constraints, and strategies at different levels of cloud applications, including the whole application, application component, and within application component code. Based on simple SYBL elasticity directives, our runtime system will perform complex elasticity controls for the client, by leveraging underlying cloud monitoring and resource management APIs. We also present a prototype implementation and experiments illustrating how SYBL can be used in real-world scenarios
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