Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Dimitrije Jankov"'
Autor:
Binhang Yuan, Jia Zou, Dimitrije Jankov, Chris Jermaine, Pratik Barhate, Amitabh Das, Arun Iyengar
Publikováno v:
Proceedings of the VLDB Endowment. 14:1262-1275
Persistent partitioning is effective in avoiding expensive shuffling operations. However it remains a significant challenge to automate this process for Big Data analytics workloads that extensively use user defined functions (UDFs), where sub-comput
Publikováno v:
Proceedings of the VLDB Endowment. 14:1338-1350
We consider the question: what is the abstraction that should be implemented by the computational engine of a machine learning system? Current machine learning systems typically push whole tensors through a series of compute kernels such as matrix mu
Publikováno v:
Proceedings of the VLDB Endowment. 14:1228-1240
When numerical and machine learning (ML) computations are expressed relationally, classical query execution strategies (hash-based joins and aggregations) can do a poor job distributing the computation. In this paper, we propose a two-phase execution
Publikováno v:
Communications of the ACM. 63:93-101
As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue that a parallel or distributed database system is a
Autor:
Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee
Publikováno v:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra
Publikováno v:
SIGMOD Conference
Machine learning (ML) computations are often expressed using vectors, matrices, or higher-dimensional tensors. Such data structures can have many different implementations, especially in a distributed environment: a matrix could be stored as row or c
Autor:
Zekai J. Gao, Binhang Yuan, Shangyu Luo, Chris Jermaine, Dimitrije Jankov, Zhuhua Cai, Jia Zou
A number of popular systems, most notably Google's TensorFlow, have been implemented from the ground up to support machine learning tasks. We consider how to make a very small set of changes to a modern relational database management system (RDBMS) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2e7b7c3f2cc197f658cb3d5c676899e
http://arxiv.org/abs/1904.11121
http://arxiv.org/abs/1904.11121
Publikováno v:
DEBS
Real-time analytics over data streams are crucial for a wide range of use cases in industry and research. Today's sensor systems can produce high throughput data streams that have to be analyzed in real-time. One important analytic task is anomaly or
Publikováno v:
Anais Brasileiros de Dermatologia, Vol 87, Iss 6, Pp 895-898 (2012)
Segmental neurofibromatosis is a rare clinical finding generally with no family history and facial involvement. There are four subtypes of segmental neurofibromatosis: true segmental, localized cases with deep involvement, hereditary segmental and bi
Externí odkaz:
https://doaj.org/article/c805dc22f48d4605a66b964c1c8782fc
Autor:
Ivana Binić, Aleksandar Janković, Milan Miladinović, Đorđe Gocev, Dimitrije Janković, Zoran Vrućinić
Publikováno v:
Acta Medica Medianae, Vol 50, Iss 3, Pp 40-44 (2011)
Venous leg ulcers represent a significant public health problem that will increase as the population ages. Numerous herbs and their extracts are potentially conducive to wound healing, including the ability to serve as antimicrobial, antifungal, astr
Externí odkaz:
https://doaj.org/article/304e04ebb2ad4cceab308282862c83da