Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Aalap Tripathy"'
Autor:
Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, Amit Sheth
Publikováno v:
IEEE Internet Computing. 27:81-88
Autor:
Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236051
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3509078b2700e72c1256bd4cb1268f24
https://doi.org/10.1007/978-3-031-23606-8_2
https://doi.org/10.1007/978-3-031-23606-8_2
Publikováno v:
BigData Conference
The increasing amount of information accessible to a user digitally makes information retrieval & filtering difficult, time consuming and ineffective. New meaning representation techniques proposed in literature help to improve accuracy but increase
Publikováno v:
IC2E
Many-cores on chip have now become a reality. They necessitate the revisit of several layers of a cloud infrastructure. For this to happen, parallel programming runtimes need to be designed for many-cores on chip as the target architecture. In this p
Publikováno v:
SC Companion
Fast response requirements for big-data applications on cloud infrastructures continues to grow. At the same time, many cores on-chip have now become a reality. These developments are set to redefine infrastructure nodes of cloud data centers in the
Publikováno v:
ICSC
The web is moving from an era of "search" to that of "discovery". Collaborative filtering (CF) recommender systems are now commonly used to predict user's preference towards an unknown item from past ratings. To be scalable or effective, they are typ
Publikováno v:
ICSC
Emerging semantic search techniques require fast comparison of large "concept trees". This paper addresses the challenges involved in fast computation of similarity between two large concept trees using a CUDA-enabled GPGPU co-processor. We propose e
Publikováno v:
IPDPS Workshops
Superior and fast semantic comparison improves the quality of web-search. Semantic comparison involves dot product computation of large sparse tensors which is time consuming and expensive. In this paper we present a low power parallel architecture t
Publikováno v:
IPDPS
In this paper we present a fine grained parallel architecture that performs meaning comparison using vector cosine similarity (dot product). Meaning comparison assigns a similarity value to two objects (e.g. text documents) based on how similar their
Publikováno v:
ICSC
To enable meaning based search, computers have to store and compare meaning of user’s search intentions and objects being searched. To address the key requirement of meaning compositionality, we present: design rationale; an algebraic theory; and a