Currently serving as SiFive's VP of Hardware Engineering. Passionate about getting more women into the open source community. R & D interests include Chip Generators, Cryptographic Hardware, shared memory protocols, accelerating custom ASIC Design. Earned her Ph.D. in Electrical Engineering from Stanford University (w/ Prof. Mark Horowitz) and her undergraduate degree in Engineering from Brown University.

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.

Yasuko Eckert is a Sr. Member of Technical Staff at AMD Research and an IEEE Senior Member. 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. Her research interests include SoC- and package-level architectural optimizations, 3D integration, energy-efficient computing, and microarchitecture designs. 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.

Elaheh Sadredini is an assistant professor at the Department of Computer Science and Engineering at UC Riverside. She received her Ph.D. in Computer Science at the University of Virginia in 2019, advised by Professor Kevin Skadron, and she was a member at the Center for Research on Intelligent Storage and Processing in Memory (CRISP). Her research focus is on developing specialized, near-memory, and in-memory hardware accelerators for big data applications, including natural language processing, data mining, and bioinformatics. Her research has resulted in several publications at top-tier venues (such as MICRO, ASPLOS, HPCA, ICS, and KDD) and several patents and patent applications. Elaheh is the recipient of several awards, including the John A. Stankovic Graduate Research Award from the UVA Department of Computer Science for outstanding research in 2019 and the UVA International Students Office Graduation Award for Academic Excellence in 2019. She also received the best paper awards at the ACM International Conference on Computing Frontiers in 2016, the “Best of CAL” award in 2019, and a nomination for the best paper award at IISWC’19, FCCM’20, and HPCA’20.