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Andres Marquez
Researcher at Pacific Northwest National Laboratory
Publications - 60
Citations - 600
Andres Marquez is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Programming paradigm & Runtime system. The author has an hindex of 13, co-authored 56 publications receiving 545 citations. Previous affiliations of Andres Marquez include University of Delaware.
Papers
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Proceedings ArticleDOI
A design study of the EARTH multiprocessor
Herbert H. J. Hum,Olivier Maquelin,Kevin B. Theobald,Xinmin Tian,Xinan Tang,Guang R. Gao,Phil Cupryk,Nasser Elmasri,Laurie Hendren,Alberto Jimenez,Shoba Krishnan,Andres Marquez,Shamir Merali,Shashank Nemawarkar,Prakash Panangaden,Xun Xue,Yingchun Zhu +16 more
TL;DR: The design of EARTH (EE-cient Architecture for Running THreads), which attempts to address the above issues, is described and it is demonstrated that multithread-ing support can be eeciently implemented (with little em-ulation overhead) in a multiprocessor without a major impact on uniprocessors performance.
Proceedings ArticleDOI
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels
Ang Li,Weifeng Liu,Mads Ruben Burgdorff Kristensen,Brian Vinter,Hao Wang,Kaixi Hou,Andres Marquez,Shuaiwen Leon Song +7 more
TL;DR: A comprehensive evaluation for a wide spectrum of scientific kernels with a large amount of representative inputs on two Intel OPMs, guided by general optimization models, demonstrates OPM's effectiveness for easing programmers' tuning efforts to reach ideal throughput for both compute-bound and memory-bound applications.
Proceedings ArticleDOI
MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures
Yang You,Shuaiwen Leon Song,Haohuan Fu,Andres Marquez,Maryam Mehri Dehnavi,Kevin J. Barker,Kirk W. Cameron,Amanda Randles,Guangwen Yang +8 more
TL;DR: In this article, the authors designed and implemented MIC-SVM, a highly efficient parallel SVM for x86 based multi-core and many-core architectures, such as the Intel Ivy Bridge CPUs and Intel Xeon Phi co-processor (MIC).
Proceedings ArticleDOI
Evaluating the potential of multithreaded platforms for irregular scientific computations
Jarek Nieplocha,Andres Marquez,John Feo,Daniel Chavarría-Miranda,George Chin,Chad Scherrer,Nathaniel Beagley +6 more
TL;DR: This study conducted a detailed evaluation of the platforms using microbenchmarks in order to gain insight into their architectural capabilities and their interaction with programming models and application software.
Journal ArticleDOI
Scaling Support Vector Machines on modern HPC platforms
Yang You,Haohuan Fu,Shuaiwen Leon Song,Amanda Randles,Darren J. Kerbyson,Andres Marquez,Guangwen Yang,Adolfy Hoisie +7 more
TL;DR: In this paper, the authors designed and implemented MIC-SVM, a highly efficient parallel SVM for x86 based multi-core and many-core architectures, such as the Intel Ivy Bridge CPUs and Intel Xeon Phi co-processor (MIC).