Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kristyn Maschhoff"'
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd5aea2f57aca74b7017a99dac4c0506
https://doi.org/10.1002/cpe.5636
https://doi.org/10.1002/cpe.5636
Autor:
Michael F. Ringenburg, Kristyn Maschhoff, Alex Gittens, Kai Rothauge, Michael W. Mahoney, L. Gerhardt, Shusen Wang, Prabhat, Jey Kottalam
Publikováno v:
Concurrency and Computation: Practice and Experience.
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fafdee7667a2dd1e0b2dd5b57d6d4ee6
https://doi.org/10.1002/cpe.5026
https://doi.org/10.1002/cpe.5026
Autor:
Tuomas Kärnä, Lei Shao, Victor W. Lee, Amrita Mathuriya, Nalini Kumar, Simon J. Pennycook, Kristyn Maschhoff, Peter Mendygral, Lawrence Meadows, Jason Sewall, Diana Moise, Prabhat Prabhat, James Arnemann, Michael F. Ringenburg, Siyu He, Shirley Ho, Deborah Bard
Publikováno v:
Mathuriya, Amrita; Bard, Deborah; Mendygral, Peter; Meadows, Lawrence; Arnemann, James; Shao, Lei; et al.(2018). CosmoFlow: Using Deep Learning to Learn the Universe at Scale. SC18: International Conference for High Performance Computing, Networking, Storage and Analysis. doi: 10.1109/sc.2018.00068. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/6g4145rq
SC
SC
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of the Tensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678927f228e227083ca2700d4c4a075a
https://escholarship.org/uc/item/6g4145rq
https://escholarship.org/uc/item/6g4145rq
Autor:
Kai Rothauge, Michael W. Mahoney, Jey Kottalam, L. Gerhardt, Michael F. Ringenburg, Alex Gittens, Kristyn Maschhoff, Prabhat, Shusen Wang
Publikováno v:
KDD
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3707e0b9de495c56b6008d091d266704
http://arxiv.org/abs/1805.11800
http://arxiv.org/abs/1805.11800
Autor:
Evan Racah, Michael W. Mahoney, Jatin Chhugani, Jim Harrell, Jey Kottalam, Jialin Liu, Shane Canon, Pramod Sharma, Michael F. Ringenburg, James Demmel, Jiyan Yang, Prabhat, Aditya Devarakonda, Kristyn Maschhoff, Alex Gittens, L. Gerhardt, Venkat Krishnamurthy
Publikováno v:
IEEE BigData
Gittens, Alex; Devarakonda, Aditya; Racah, Evan; Ringenburg, Michael; Gerhardt, Lisa; Kottalam, Jey; et al.(2016). Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies:. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/13q8t1hg
Gittens, Alex; Devarakonda, Aditya; Racah, Evan; Ringenburg, Michael; Gerhardt, Lisa; Kottaalam, Jey; et al.(2016). Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies:. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/2h15p99d
Gittens, Alex; Devarakonda, Aditya; Racah, Evan; Ringenburg, Michael; Gerhardt, Lisa; Kottalam, Jey; et al.(2016). Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies:. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/13q8t1hg
Gittens, Alex; Devarakonda, Aditya; Racah, Evan; Ringenburg, Michael; Gerhardt, Lisa; Kottaalam, Jey; et al.(2016). Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies:. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/2h15p99d
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7993a6588578f3c2f032af663634d3fa
https://doi.org/10.1109/bigdata.2016.7840606
https://doi.org/10.1109/bigdata.2016.7840606
Publikováno v:
BigData Conference
Much of the early domain-specific success with graph analytics has been with algorithms whose results are based on global graph structure. An example of such an algorithm is betweenness centrality, whose value for any vertex potentially depends on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec849f99c4720ed8a7c7be711532701b
https://doi.org/10.1109/bigdata.2014.7004371
https://doi.org/10.1109/bigdata.2014.7004371
Autor:
Kristyn Maschhoff, David Mizell
Publikováno v:
IPDPS
Several 64-processor XMT systems have now been shipped to customers and there have been 128-processor, 256-processor and 512-processor systems tested in Cray's development lab. We describe some techniques we have used for tuning performance in hopes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73189258cd3225feb3824961645ce23b
https://doi.org/10.1109/ipdps.2009.5161108
https://doi.org/10.1109/ipdps.2009.5161108
Publikováno v:
IPDPS
String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam filters. The growing size of on-line content and the increasing wire speeds push the need for fast, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2efcadd969ac590d9d97a8ed6b8817
https://doi.org/10.1109/ipdps.2009.5161043
https://doi.org/10.1109/ipdps.2009.5161043
Publikováno v:
IPDPS
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysis denotes a class of mathematical and statistical methods designed to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd7614571468ec79967cab4080d5ce85
https://doi.org/10.1109/ipdps.2009.5161109
https://doi.org/10.1109/ipdps.2009.5161109
Publikováno v:
IPDPS
This paper describes our early experiences with a pre- production Cray XMT system that implements a scalable shared memory architecture with hardware support for multithreading. Unlike its predecessor, the Cray MTA-2 that had very limited I/O capabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2830fa39700118a59d735ce94e24d82f
https://doi.org/10.1109/ipdps.2008.4536360
https://doi.org/10.1109/ipdps.2008.4536360