Speaking June 28, 2022 at 9:00-10:15 EDT
José E. Moreira is a Distinguished Research Staff Member at the
IBM Thomas J. Watson Research Center. He received a B.S. degree
in physics and B.S. and M.S. degrees in electrical engineering
from the University of Sao Paulo. He received a Ph.D. degree in
electrical engineering from the University of Illinois at
Urbana-Champaign. Since joining IBM in 1995, Dr. Moreira has
worked on a variety of high-performance systems, including two
ASCI systems (Blue Pacific and White) and the Blue Gene/L
supercomputer, for which he was the System Software architect.
Dr. Moreira has been responsible for various architectural and
micro-architectural innovations in the three most recent generations
of POWER processors. He conceived the POWER10 matrix unit, the first
of its kind in a commercial processor. Dr. Moreira is a Fellow of
the IEEE (Institute of Electrical and Electronics Engineers) and
a Distinguished Scientist of the ACM (Association for Computing
Machinery). Contact him at email@example.com.
Keynote Talk: The Rise of Matrix Processing
For the last 50 years, vector processing has been the technique of choice
for improving performance of important computations. Once a unique
feature of the world's top supercomputers, vector processing is now
ubiquitous throughout the spectrum of computing systems. This is all
the more remarkable since vector processing does not inherently offer
any advantage in computational intensity over scalar processing.
Multiplying two n-element vectors produces one operation per pair of
input elements, just like multiplying two scalars. During the past few
years we have seen the rise of a truly different form of computation,
matrix processing. Consider the outer-product of two n-element vectors,
which produces n^2 operations. This example of matrix processing has a
fundamentally different computational intensity, that scales with the
size of the vectors. Recent GPUs and now some CPUs are being augmented
with dedicated matrix units that can perform some of these matrix
computations directly. Matrix processing will not replace vector
processing any more than vector processing has replaced scalar processing.
Instead, it will open new ways on how computations are performed and
create new opportunities for high-performance computers to make even
deeper impacts on human activities. In this talk, we will revisit some
of the fundamentals of matrix processing, and describe existing systems
with matrix units, such as the IBM POWER10 processor, and compare with
other processors that are expected in the market soon. We will also discuss
matrix processing in GPUs, which has become very popular, and explore what
the near future holds for this powerful new computing model.
Hugh Trumbull Adams '35 Professor of Computer Science, Princeton University
Currently serving as Assistant Director for Computer and Information Science and Engineering (CISE) at NSF.
Speaking June 29, 2022 at 9:00-10:15 EDT
Margaret Martonosi leads the US National Science Foundation’s (NSF) Directorate for Computer and information Science and Engineering (CISE). With an annual budget of more than $1B, the CISE directorate at NSF has the mission to uphold the Nation’s leadership in scientific discovery and engineering innovation through its support of fundamental research and education in computer and information science and engineering as well as transformative advances in research cyberinfrastructure. While at NSF, Dr. Martonosi is on leave from Princeton University where she is the Hugh Trumbull Adams '35 Professor of Computer Science. Dr. Martonosi's research interests are in computer architecture and hardware-software interface issues in both classical and quantum computing systems. Dr. Martonosi is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is a Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).
Keynote Talk: The Computing and Information Science and Engineering Landscape: A Look Forward
The United States National Science Foundation (NSF) supports a majority of US academic research in the Computer and Information Science and Engineering (CISE) topic areas. A long-time computing researcher herself, Dr. Margaret Martonosi is now serving a 4-year term leading the NSF CISE Directorate, and stewarding the CISE directorate’s $1B+ annual budget on behalf of research, education, workforce and infrastructure funding in CISE topic areas and for science as a whole. In this talk, she will discuss key technical themes for the field, and how CISE is developing programmatic opportunities to advance research related to them. She will particularly note how ICS topic areas relate to these technical priorities. More broadly, she will discuss CISE and NSF in the context of the global research efforts, and our approach to industry and international research partnerships.
Distinguished Professor of Computer Science
Founding Director, Scientific Computing and Imaging Institute
University of Utah
Speaking June 30, 2022 at 9:00-10:15 EDT
Chris R. Johnson is a Distinguished Professor of Computer Science and founding
director of the Scientific Computing & Imaging (SCI) Institute at the University
of Utah. He also holds faculty appointments in the Departments of Physics and
Bioengineering. His research interests are in the areas of scientific computing
and scientific visualization. In 1992, with Professor Rob MacLeod, Professor
Johnson founded the SCI research group, now the SCI Institute, which has grown
to employ over 150 faculty, staff and students. Professor Johnson serves on a
number of international journal editorial and advisory boards to national and
international research centers. He is a Fellow of AIMBE (2004), AAAS (2005),
SIAM (2009), and IEEE (2014) and was inducted into the IEEE Visualization Academy
(2019). He has received a number of awards including the NSF Presidential Faculty
Fellow (PFF) award from President Clinton, a DOE Computational Science Award, the
Governor’s Medal for Science and Technology, the Utah Cyber Pioneer Award, the
IEEE Visualization Career Award, IEEE CS Charles Babbage Award, the IEEE Sidney
Fernbach Award, Rosenblatt Prize and most recently, the 2020 Leonardo Award.
Keynote Talk: Large-Scale Visual Analysis in the Age of Data
We live in the Age of Data. Ninety percent of all data in the world has been created
in the past two years alone, at a rate of exabytes per day. New data of all kinds
— structured, unstructured, quantitative, qualitative, spatial, and temporal —
is growing exponentially and in every way. Given the vast amount of data being
produced, one of our greatest scientific challenges is to effectively understand
and make use of it. Because visualization both facilitates the reasoning process
by supporting the human capacity to perceive, understand, and reason about complex
large-scale data and enables researchers to derive knowledge from data, visual data
analysis is one of our most important tools for understanding large-scale complex
data. In this talk, I will present recent visual analysis research and applications
in science, engineering, and medicine from the Scientific Computing and Imaging
Institute and discuss current and future visualization research challenges.