|Author||Vishkin, Dascal ♦ Vishkin, Uzi|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Computer programming, programs & data|
|Abstract||Algorithms for the problem of list ranking are empiricallystudied with respect to the Explicit Multi-Threaded (XMT) platformfor instruction-level parallelism (ILP). The main goal of thisstudy is to understand the differences between XMT and moretraditional parallel computing implementation platforms/models asthey pertain to the well studied list ranking problem. The main twofindings are: (i) good speedups for much smaller inputs arepossible and (ii) in part, the first finding is based on a newvariant of a 1984 algorithm, called the No-Cut algorithm. The paperincorporates analytic (non-asymptotic) performance analysis intoexperimental performance analysis for relatively small inputs. Thisprovides an interesting example where experimental research andtheoretical analysis complement one another. ExplicitMulti-Threading (XMT) is a fine-grained computation frameworkintroduced in our SPAA'98 paper. Building on some key ideas ofparallel computing, XMT covers the spectrum from algorithms througharchitecture to implementation; the main implementation relatedinnovation in XMT was through the incorporation of low-overheadhardware and software mechanisms (for more effective fine-grainedparallelism). The reader is referred to that paper for detail onthese mechanisms. The XMT platform aims at faster single-taskcompletion time by way of ILP.|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Journal of Experimental Algorithmics (JEA)|
Ministry of Human Resource Development (MHRD) under its National Mission on Education through Information and Communication Technology (NMEICT) has initiated the National Digital Library of India (NDLI) project to develop a framework of virtual repository of learning resources with a single-window search facility. Filtered and federated searching is employed to facilitate focused searching so that learners can find out the right resource with least effort and in minimum time. NDLI is designed to hold content of any language and provides interface support for leading vernacular languages, (currently Hindi, Bengali and several other languages are available). It is designed to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is being developed to help students to prepare for entrance and competitive examinations, to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is being developed at Indian Institute of Technology Kharagpur.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Human Resource Development (MHRD), through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
For any issue or feedback, please write to firstname.lastname@example.org