Dr. Yasuko Eckert, AMD Research
Dr. Miki Enoki, IBM
Prof. Diana Franklin, University of Chicago
Prof. Daniel Jimenez, Texas A&M University
Dr. Gabriel Loh, AMD Research
Prof. Margaret Martonosi, Princeton University
Dr. Jaime H. Moreno, IBM
Prof. Atsuko Takefusa, National Institute of Informatics
Prof. Carole-Jean Wu, Arizona State University
Prof. Jishen Zhao, University of California San Diego
About the speakers:
Yasuko Eckert is a Sr. Member of Technical
Staff at AMD Research. Her research interests include SoC- and
package-level architectural optimizations, 3D integration,
energy-efficient computing, and microarchitecture designs. She received
her M.S. and Ph.D. from the University of Wisconsin-Madison in 2007 and
2011, respectively. She received her B.S. from the University of Texas
at Austin in 2004. She is currently serving as the Tutorial/Workshop
Co-chair of the 51st International Symposium on Microarchitecture, as
well as an Associate Editor of IEEE Transactions on Multi-Scale
Computing Systems (TMSCS). She has served on the Technical Program
Committees of MICRO, HPCA, PACT, ISLPED, and ICCD. She holds more than
25 U.S. patents.
Miki Enoki is
a Researcher at IBM Research Tokyo. Miki started her IBM career in 2007.
She earned a Doctor of Science degree from the Ochanomizu university in
2016 while working at IBM Research. Between 2007 and 2016, she worked
for performance analysis of middleware products and database access
optimization. Recently her focus is utilizing AI technologies for
financial industry.
Diana Franklin
is a Research Associate Professor in Computer Science and Director of
Computer Science Education at UChicago STEM Education. She leads five
projects involving computer science education involving students
ranging from pre-K through university. She is the lead PI for quantum
computing education for EPIQC, an NSF expedition in computing. Her
research agenda explores ways to create curriculum and computing
environments in ways that reach a broad audience. She is a recipient of
the NSF CAREER award, NCWIT Faculty Undergraduate Mentoring Award,
four teaching awards, and three best paper awards (ICER '17, IPDPS '14,
and Computing Frontiers '13). Franklin received her Ph.D. from UC Davis
in 2002. She was an assistant professor (2002-2007) and associate
professor with tenure (2007) in Computer Science at the California
Polytechnic State University, San Luis Obispo, during which she
held the Forbes Chair. From 2008-2015, she was tenured teaching faculty
at UC Santa Barbara. Her research interests include computing education
research, architecture involving novel technologies, and ethnic and
gender diversity in computing. She is the author of "A Practical Guide
to Gender Diversity for CS Faculty," from Morgan Claypool.
Daniel Jimenez
is a Professor in the Computer Science and Engineering Department at
Texas A&M University. Before this, he was Professor and Department
Chair in the CS department at UT San Antonio. Before that, he was an
Associate Professor (with tenure) in the CS department at Rutgers. His
Ph.D. in Computer Sciences is from UT Austin. He is interested in
anything related to making computation go faster. His focus is on
microarchitecture and the interaction between the compiler and the
microarchitecture. He has been doing a lot of work in branch prediction
and more recently caches. He is known for inventing the perceptron
branch predictor as well as for other
research.
Gabriel H. Loh
is a Fellow Design Engineer in AMD Research, the research and advanced
development lab for Advanced Micro Devices, Inc. Gabe received his
Ph.D. and M.S. in computer science from Yale University in 2002 and
1999, respectively, and his B.Eng. in electrical engineering from the
Cooper Union in 1998. Gabe was also a tenured associate professor in
the College of Computing at the Georgia Institute of Technology, a
visiting researcher at Microsoft Research, and a senior researcher at
Intel Corporation. He is a Fellow of the ACM and IEEE, recipient of ACM
SIGARCH's Maurice Wilkes Award, Hall of Fame member for the MICRO,
ISCA, and HPCA conferences, (co-)inventor on over one hundred US patent
applications and sixty granted patents, and a recipient of the US
National Science Foundation Young Faculty CAREER Award. His research
interests include computer architecture, processor microarchitecture,
emerging technologies and 3D die stacking.
Margaret Martonosi is the Hugh Trumbull
Adams '35 Professor of Computer Science at Princeton University, where
she has been on the faculty since 1994. Martonosi's research focuses on
computer architecture and mobile computing, particularly
power-efficient systems. Past projects include the Wattch power
modeling tool and the ZebraNet mobile sensor network, which was
deployed for wildlife tracking in Kenya. Martonosi is a Fellow of both
IEEE and ACM. Her major awards include Princeton University's 2010
Graduate Mentoring Award, the Anita Borg Institute's 2013 Technical
Leadership Award, and NCWIT's 2013 Undergraduate Research Mentoring
Award.
Jaime H. Moreno
is Distinguished Researcher, Senior Manager, Data Centric High
Performance Computing, Data Centric Systems department, at IBM
Research. His department addresses challenges and innovations
in applications, hardware and systems co-design for Data Centric
Systems, with emphasys on the next-generation IBM supercomputers
represented by the CORAL systems and their follow-ons. He joined the
IBM Research Division in 1992, where he has performed research on a
variety of microprocessor architecture and performance analysis topics,
including high-end server microprocessors, game processors, low-power
embedded processors and digital signal processors, efforts addressing
the full range of IBM processors and systems. Before joining IBM
Research, Jaime was a faculty member at the Department of Electrical
Engineering, University of Concepcion, Chile. He received his Ph.D. and
M.S. degrees in Computer Science from the University of California Los
Angeles, and a degree in Electrical Engineering from the University of
Concepcion, Chile.
Atsuko Takefusa
is an associate professor of Information Systems Architecture Science
Research Division, National Institute of Informatics (NII) and the
Department of Informatics of the Graduate University for Advanced
Studies (SOKENDAI). She received her M.S. and Ph.D. (Sci.) degree from
the Ochanomizu University in 1998 and 2000, respectively. Her research
field is parallel and distributed computing including Grid, Cloud and
HPC. Before joining NII, she was a senior researcher at the National
Institute of Advanced Industrial Science and Technology (AIST) and an
assistant professor at the Ochanomizu University.
Prof. Carole-Jean Wu
is an Associate Professor of Computer Science and Engineering in the
School of Computing, Informatics, and Decision Systems Engineering in
Arizona State University. She holds a Research Scientist position with
Facebook’s AI Infrastructure. Before joining ASU, Prof. Wu held a
number of industrial internship positions with Intel, IBM, and Google.
She is a senior member of both ACM and IEEE. Prof. Wu works in the area
of Computer and System Architectures. In particular, her research
interests include high-performance and energy-efficient computer
architecture through hardware heterogeneity, energy harvesting
techniques for emerging computing devices, temperature and energy
management for portable electronics, performance characterization,
analysis and prediction, and memory subsystem designs. She is the
recipient of the 2018 IEEE ITHERM Best Paper Award, the 2017 NSF CAREER
Award, the 2017 IEEE Young Engineer of the Year Award, the 2014 IEEE
Best of Computer Architecture Letter Award, the 2013 Science Foundation
Arizona Bisgrove Early Career Scholarship, and the 2011-12 Intel Ph.D.
Fellowship. Her research has been supported by both industry sources
and the National Science Foundation. She currently serves on the
Executive Committee of the IEEE Technical Committee on Computer
Architecture (TCCA) and is the Program Chair for the 2018 IEEE
International Symposium on Workload Characterization. She is also
co-chairing the MLPerf Edge Inference WG. Prof. Wu received her M.A.
and Ph.D. degrees in Electrical Engineering from Princeton University.
She completed a B.Sc. degree in Electrical and Computer Engineering
from Cornell University.
Jishen Zhao is an assistant professor of
Computer Science and Engineering at UC San Diego. She works in computer
systems and architecture, with an emphasis on memory and storage
systems. Her research is driven by emerging technologies such as 3D
integration and nonvolatile memories, and modern applications like
big-data analytics and machine learning. Before joining UCSD, she was
an assistant professor at UC Santa Cruz and a research scientist in HP
Labs. She received a NSF CAREER Award in 2017 and MICRO best paper
honorable mention at MICRO 2013.
