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pro vyhledávání: '"Kottalam, Jey"'
Autor:
Gittens, Alex, Rothauge, Kai, Wang, Shusen, Mahoney, Michael W., Kottalam, Jey, Gerhardt, Lisa, Prabhat, Ringenburg, Michael, Maschhoff, Kristyn
The Apache Spark framework for distributed computation is popular in the data analytics community due to its ease of use, but its MapReduce-style programming model can incur significant overheads when performing computations that do not map directly
Externí odkaz:
http://arxiv.org/abs/1806.01270
Autor:
Gittens, Alex, Rothauge, Kai, Wang, Shusen, Mahoney, Michael W., Gerhardt, Lisa, Prabhat, Kottalam, Jey, Ringenburg, Michael, Maschhoff, Kristyn
Apache Spark is a popular system aimed at the analysis of large data sets, but recent studies have shown that certain computations---in particular, many linear algebra computations that are the basis for solving common machine learning problems---are
Externí odkaz:
http://arxiv.org/abs/1805.11800
Autor:
Gittens, Alex, Devarakonda, Aditya, Racah, Evan, Ringenburg, Michael, Gerhardt, Lisa, Kottalam, Jey, Liu, Jialin, Maschhoff, Kristyn, Canon, Shane, Chhugani, Jatin, Sharma, Pramod, Yang, Jiyan, Demmel, James, Harrell, Jim, Krishnamurthy, Venkat, Mahoney, Michael W., Prabhat
We explore the trade-offs of performing linear algebra using Apache Spark, compared to traditional C and MPI implementations on HPC platforms. Spark is designed for data analytics on cluster computing platforms with access to local disks and is optim
Externí odkaz:
http://arxiv.org/abs/1607.01335
Autor:
Sparks, Evan R., Talwalkar, Ameet, Smith, Virginia, Kottalam, Jey, Pan, Xinghao, Gonzalez, Joseph, Franklin, Michael J., Jordan, Michael I., Kraska, Tim
MLI is an Application Programming Interface designed to address the challenges of building Machine Learn- ing algorithms in a distributed setting based on data-centric computing. Its primary goal is to simplify the development of high-performance, sc
Externí odkaz:
http://arxiv.org/abs/1310.5426
Akademický článek
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Autor:
Gittens, Alex, Kottalam, Jey, Yang, Jiyan, Ringenburg, Michael F., Chhugani, Jatin, Racah, Evan, Singh, Mohitdeep, Yao, Yushu, Fischer, Curt, Ruebel, Oliver, Bowen, Benjamin, Lewis, Norman G., Mahoney, Michael W., Krishnamurthy, Venkat, Prabhat
Publikováno v:
2016 IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPSW); 2016, p1403-1412, 10p
Autor:
Gittens, Alex, Rothauge, Kai, Wang, Shusen, Mahoney, Michael W., Kottalam, Jey, Gerhardt, Lisa, Prabhat, Ringenburg, Michael, Maschhoff, Kristyn
Publikováno v:
Concurrency & Computation: Practice & Experience; 8/25/2019, Vol. 31 Issue 16, pN.PAG-N.PAG, 1p