Jun Yang is a William Kepler Whiteford Professor of Electrical and Computer Engineering Department at the University of Pittsburgh. Prior to joining the University of Pittsburgh, she was an assistant professor of the Computer Science and Engineering Department at University of California, Riverside. Jun received her bachelor from Nanjing University, China, and her PhD from the University of Arizona in 1995 and 2002 respectively. Jun’s research is in the broad area of computer architecture and her recent focuses include GPU designs, architecture level security, emerging memory technologies, 3D integration, and power and thermal management techniques. Jun is a recipient of NSF CAREER award in 2008, IEEE MICRO Top Picks award in 2010, and best paper awards of ISLPED 2013 and ICCD 2007. She was on the editorial board of IEEE Computer Architecture Letters, and she has served in the Organizing and Technical Program Committee in ISCA, MICRO, and HPCA, for many years. She has been included in the HPCA hall of fame since 2017.

Sonal is a assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Raipur. Prior NIT Raipur, she was postdoctoral fellow at Indian Institute of Technology (IIT) Guwahati, India from March 2018-2020. She received her M.Tech and PhD degree from the Malaviya National Institute of Technology (MNIT) Jaipur, India. Her PhD dissertation was on Exploration of Efficient Manycore Multiple Networks-on-Chip Architectures. Her research interests lie in improving energy efficiency via power-gating for multiple networks-on-chip (NoC) architectures and self-learning NoC architectures. Her thesis work awarded travel grant in DATE 2019. She is the recipient of the best paper award by TCVLSI in IEEE-SES 2018. Her PhD work is published in reputed conferences VDAT 2015, VLSI Design 2016, DAC 2019 and journals. She has received multiple recognitions, including PhD Fellowship by the Ministry of Human Resource and Development (MHRD) Govt. of India and Institute Postdoctoral Fellowship by Indian Institute of Technology Guwahati.

Hi! I am a 3rd year PhD student in the Computer Science department at Brown University, co-advised by professors Iris Bahar and Maurice Herlihy.

My research interests are at the intersection of computer architecture and concurrent computing. I am particularly interested in the hardware-software co-design of concurrent data structures and algorithms with emerging memory technologies, such as compute-capable memory or non-volatile memory.

Qiuyun Llull joined VMware in 2017, working on the performance of next-generation Software-defined Data Center. She is broadly interested in system and architecture for emerging applications, such as data analytics, machine learning, IoT, and autonomous driving. She received her Ph.D. in Computer Engineering from Duke University in 2017, working with Prof. Benjamin Lee. Her doctoral research applies microeconomic models to manage resources in large-scale data centers; her dissertation received Outstanding Dissertation Award from the Duke ECE department. Her recent publication (Amdahl's law in the Datacenter Era: A Market for Fair Processor Allocation) won the Best Paper Award at HPCA 2018. Before coming to the United States, she obtained her M.S. degree from University Paris Sud, France and B.Eng. degree from Huazhong University of Science and Technology, China