4th Career Workshop for Women and Minorities in Computer Architecture

Sunday October 21, 2018
Fukuoka, Japan

in conjunction with the
51st IEEE/ACM International Symposium on Microarchitecture (MICRO-51)

Overview       Program       Speakers        Posters       Travel Grants       Organizers          Sponsors      Prior Workshops

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.