PPT-Energy-Efficient Query Processing on
Author : yoshiko-marsland | Published Date : 2016-04-09
Embedded CPUGPU Architectures Xuntao Cheng Bingsheng He Chiew Tong Lau Nanyang Technological University Singapore 1 Outline Motivations System Design Evaluations
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Energy-Efficient Query Processing on: Transcript
Embedded CPUGPU Architectures Xuntao Cheng Bingsheng He Chiew Tong Lau Nanyang Technological University Singapore 1 Outline Motivations System Design Evaluations Conclusion 2 Query Processing in the Era of IoT. Comfort is hard to define and is best understood as the absence of discomfort. Perhaps the most remarkable thing about radiant heat is what you won't notice. There are no forced air registers to see. No noise or dust from mechanical blowers. No hot air blowing on you. No hot air collecting at the ceiling, wasting energy. No cold floors to chill your feet. The mild warmth of a radiant floor is a subtle experience and always feels just right. Dr. Bjarne Berg . 3. What We’ll Cover …. . Introduction. Performance Issues & Tips. MultiProviders and Partitioning. Aggregates. Query Design & Caching. Hardware & Servers. Designing for Performance. Group 4: . Nipun . Garg, Surabhi . Mithal. http://www-users.cs.umn.edu/~smithal/. Chapter Organization. 2. OLD Organization. 5.1 . Evaluation of Spatial Operations . 5.2 . Query Optimization . 5.3 . Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Query Formulation. Ling573. NLP Systems and Applications. April 14, 2011. Roadmap. Motivation:. Retrieval gaps. Query F. ormulation:. Question Series. Query reformulation:. AskMSR. patterns. MULDER parse-based formulation. A query is stated using SQL or other languages, ideally natural languages. After query parsing, each query is essentially treated as a . relational algebra expression. Query optimizer . Enumerates . the possible plans to evaluate expression,. Dr. Bjarne Berg . 3. What We’ll Cover …. . Introduction. Performance Issues & Tips. MultiProviders and Partitioning. Aggregates. Query Design & Caching. Hardware & Servers. Designing for Performance. Abstract. Cloud computing as an emerging technology trend is expected to reshape the advances in information technology.. In a cost-efficient cloud environment, a user can tolerate a certain degree of delay while retrieving information from the cloud to reduce costs. In this paper, we address two fundamental issues in such an environment: privacy and efficiency. . of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . A query is stated using SQL or other languages, ideally natural languages. After query parsing, each query is essentially treated as a . relational algebra expression. Query optimizer . Enumerates . the possible plans to evaluate expression,. on OpenCL-based FPGAs. Zeke Wang. , Johns Paul, Hui Yan Cheah . (. NTU,. . Singapore), . Bingsheng He (. NUS,. Singapore), . Wei Zhang (HKUST, Hong Kong). 1. Outline. Background and Problem. Challenges. &. . Energy efficiency Data Protocol and Portal (. EeDaPP. ). &. Energy efficient Mortgage Market Implementation Plan (. EeMMIP. ). In the EU 2. 7. there are… . Bring Energy Efficiency to the EU buildings stock: . Query Processing. Document-at-a-time. Calculates complete scores for documents by processing all term lists, one document at a time. Term-at-a-time. Accumulates scores for documents by processing term lists one at a time.
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