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Intel and Indiana University
Through generous funding from Intel® Corporation, Indiana University Bloomington will
become the newest Intel® Parallel Computing Center (Intel® PCC) this September. Intel® PCCs are
universities, institutions, and labs identified as leaders in their fields, focusing on modernizing
applications to increase parallelism and scalability through optimizations that leverage cores, caches,
threads, and vector capabilities of microprocessors and coprocessors.
This latest interdisciplinary center is led by Judy Qiu, an Assistant Professor in the School of
Informatics and Computing. The work of Steven Gottlieb, a Distinguished Professor of Physics, is also
supported by the center. Qiu's research focuses on novel parallel systems supporting data analytics,
while Gottlieb focuses on adapting the physics simulation code of the MILC Collaboration to the Intel®
Xeon Phi™ Processor Family.
“The Intel® Parallel Computing Center highlights IU’s leadership and strength in high performance
computing. It represents collaboration between industry and higher education, and across schools and
departments within IU, that will benefit the research community and the private sector in a variety of
important ways,” said School of Informatics and Computing Dean Bobby Schnabel.
Indiana University will benefit from its role as an Intel® PCC by having access to Intel expertise,
software tools, and advanced technologies. Qiu and Gottlieb also look forward to sharing the results of
their work in collaboration with Intel at conferences such as the International Supercomputing
Conference held in Europe, the SC conference held in the US and the Intel® Xeon Phi™ User Group
meetings. This initial work could be followed by further projects with other IU faculty funded by this
Intel® PCC.
Investigators and Research
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This latest interdisciplinary center will be led by Judy Qiu, an Assistant Professor in the
School of Informatics and Computing. The work of Steven Gottlieb, a Distinguished Professor
of Physics, will also be supported by the center. Qiu's research will focus on novel
parallel systems supporting data analytics, while Gottlieb will focus on adapting the
physics simulation code of the MILC Collaboration to the Intel® Xeon Phi™ Processor Family.
Steven Gottlieb is a founding member of the MILC Collaboration which studies Quantum
Chromodynamics, one of nature's four fundamental forces. The open source MILC code is part
of the SPEC benchmark and has been used as a performance benchmark for a number of
supercomputer acquisitions. Gottlieb will be working on restructuring the MILC code to make
optimal use of the SIMD vector units and many-core architecture of the Intel® Xeon Phi™
Processor Family. These will be used in upcoming supercomputers at the National Energy
Research Supercomputing Center (NERSC) and the Argonne Leadership Computing Center (ALCC).
The MILC code currently is used for hundreds of millions of core-hours at NSF and DOE
supercomputer centers.
Data analysis plays an important role in data-driven scientific discovery and commercial
services. Prof. Qiu's earlier research has shown that previous complicated versions of
MapReduce can be replaced by Harp (a Hadoop plug-in) that offers both data abstractions
useful for high performance iterative computation and MPI-quality communication that can
drive libraries like Mahout, MLlib, and DAAL on HPC and Cloud systems. We will select a
subset of machine learning algorithms and implement them with optimal performance using
Hadoop/Harp and Intel's library DAAL. The code will be tested on Intel’s Haswell and Xeon
Phi architectures.
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News
We hosted Workshop on Streaming Systems and Realtime Machine Learning
at the IEEE BigData conference. Dec 9-12, 2019. Los Angeles, California
Announcements
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We gave a 2 hour Tutorial on
Harp-DAAL: A high Performance Machine Learning Framework for HPC-Cloud, at Intel® HPC Developer Conference
(HPCDC)
2017 held in Sheraton Denver Downtown Hotel, Denver, Colorado, November 11-12, 2017.
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