Speakers:


 Daniel JimenezProfessor Daniel Jimenez: Daniel A. Jiménez is a Professor in the Department of Computer Science and Engineering at Texas A&M University. Previously he was Assistant and later Associate Professor in the Department of Computer Science at Rutgers University, then Associate Professor, then Professor and Chair of the Department of Computer Science at The University of Texas at San Antonio. Daniel received his Ph.D. in Computer Sciences from the University of Texas at Austin. Daniel's research is in microarchitecture, including microarchitectural prediction and cache management. He pioneered the development of neural-inspired branch predictors that have been implemented in millions of processors sold by IBM, AMD, Oracle, Samsung, and others.

Daniel designed the neural branch predictors used in the popular Samsung Galaxy S7/8/9/10/20. His 2001 paper on perceptron-based branch prediction won the "HPCA Test of Time Award" in 2019. Daniel won the 2021 IEEE CS B. Ramakrishna Rau Award for contributions to neural branch prediction. He is an IEEE Fellow, an ACM Distinguished Scientist, an NSF CAREER award winner, and member of the ISCA, MICRO, and HPCA halls of fame. He is the Chair of the IEEE Computer Society Technical Committee on Computer Architecture (TCCA), co-Chair of the ISCA Steering Committee, and Vice-Chair of the ACM Special Interest Group on Microarchitecture (SIGMICRO). He was General Chair of IEEE HPCA in 2011, Program Chair for IEEE HPCA in 2017, and Selection Committee Chair for IEEE Micro "Top Picks" in 2020.


Nandita VijaykumarProfessor Nandita Vijaykumar: Nandita Vijaykumar is an Assistant Professor at the Department of Computer Science at the University of Toronto. She leads the embARC Research Group at UofT. She is also affiliated with the Vector Institute for Artificial Intelligence and the Robotics Institute at UofT.  She received her Ph.D. from Carnegie Mellon University. She has previously worked for AMD, Intel, Microsoft, and Nvidia. Her research interests lie at the intersection of computer architecture/compilers/systems  and computer vision/robotics/ML.  She is the recipient of the Connaught New Researcher Award, the Benjamin Garver Lamme Fellowship, is a Qualcomm Fellowship Finalist, and was inducted into the ISCA Hall of Fame.


Dr. Alan Bivens Dr. Alan Bivens: Dr. Alan Bivens is currently the Director of Data Services, IBM Public Cloud, leading a variety of Cloud Data technologies including Cloud Databases, Object Storage, and Kafka offerings. Alan comes to this role after holding numerous senior management roles in IBM Research and Executive Staff positions in IBM’s Blockchain business unit. Alan is also a prolific writer with over 50 filed patents (earning him the distinction of being an IBM Master Inventor), and over 40 publications in the areas of cloud and distributed systems, systems management, and machine learning technologies.


Dr. Valentina Salapura Dr. Valentina Salapura: Dr. Valentina Salapura is a Principal Engineer at Google.  Previously, she was a Senior Fellow at AMD Research, a System Architect at the IBM T.J. Watson Research Center, and a faculty member at the Technische Universität Wien. Valentina is a computer architect for large computer systems, from supercomputers to cloud computing data centers. Valentina is a prolific inventor and holds more than 400 US patents, and she published a number of papers and several book chapters on processor and network architecture. Valentina was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for contributions to the architecture and design of multiprocessor systems, and is a recipient of the 2006 ACM Gordon Bell Prize for Special Achievements.


Mentoring Table Hosts:

Hyeran Jeon Professor Hyeran Jeon: Hyeran Jeon is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced. She received her PhD at the University of Southern California. Her research interests lie in energy-efficient, reliable, and secure GPU architectures.


Mahesh Madhav Mahesh Madhav: Mahesh Madhav works at Ampere Computing as a CPU Performance Architect and a Media Producer. He spent 16 years in the Intel Architecture team, modeling performance, verifying RTL, and optimizing workloads. Currently he leads the core performance effort for the Ampere core product line, and serves on the SPEC-CPU benchmark selection committee. He is a hiring manager at Ampere and a DEI champion. Listen to his podcast, Amplified by Ampere to gain insights into what kind of jobs exist for engineers in the semiconductor industry and the technical culture that fosters solving problems in a psychologically safe working environment.


Wenjie XiongProfessor Wenjie Xiong: Wenjie Xiong is an Assistant Professor at Virginia Tech since Jan 2022. She was a postdoctoral researcher at Meta (formerly “Facebook”) AI Research. She received her Ph.D. in the Department of Electrical Engineering at Yale University in May 2020, advised by Prof. Jakub Szefer. Her research interests are in computer architecture and hardware security, where she leverages hardware features to enhance the security of computer systems as well as identify and mitigate security vulnerabilities that are rooted in the hardware designs. Her work on covert channel attacks on cache replacement states was selected as an Honorable Mention of IEEE Micro Top Picks 2021 and the featured paper of IEEE Transactions on Computers (TC). Her earlier work on run-time accessible DRAM PUFs was selected as the Top Picks in Hardware and Embedded Security 2019. More details at https://computing.ece.vt.edu/~wenjiex/.


Panelists:

Poulami Das Professor Puolami Das:  Poulami is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin. Prior to joining UT Austin, she completed her PhD at Georgia Tech. Her research focuses on software and architecture for improving the reliability of quantum computers. She is also interested in computer architecture, memory systems, and emerging technologies.


Sabrina NeumanProfessor Sabrina Neuman:Sabrina M. Neuman is an Assistant Professor in the Department of Computer Science at Boston University. Her research interests are in computer architecture design informed by explicit application-level and domain-specific insights. She is particularly focused on robotics applications because of their heavy computational demands and potential to improve the well-being of individuals in society. She received her S.B., M.Eng., and Ph.D. from MIT. She is a 2021 EECS Rising Star, and her work on robotics acceleration has received Honorable Mention in IEEE Micro Top Picks 2022 and IEEE Micro Top Picks 2023.


Mahesh Madhav Mahesh Madhav: Mahesh Madhav works at Ampere Computing as a CPU Performance Architect and a Media Producer. He spent 16 years in the Intel Architecture team, modeling performance, verifying RTL, and optimizing workloads. Currently he leads the core performance effort for the Ampere core product line, and serves on the SPEC-CPU benchmark selection committee. He is a hiring manager at Ampere and a DEI champion. Listen to his podcast, Amplified by Ampere to gain insights into what kind of jobs exist for engineers in the semiconductor industry and the technical culture that fosters solving problems in a psychologically safe working environment.


Saugata GhoseProfessor Saugata Ghose: Saugata Ghose is an assistant professor in the Department of Computer Science at the University of Illinois Urbana-Champaign, working broadly in the area of computer architecture. He holds affiliate appointments in the Coordinated Science Laboratory and in the Department of Electrical and Computer Engineering at Illinois. He leads the ARCANA Research Group, where they explore several aspects of designing data-centric computer architectures and systems. He is particularly interested in processing-in-memory, introducing interactions between different levels of the compute stack that allow the levels to cooperate with each other, and architectures for emerging platforms and application domains. Prior to joining Illinois, he was a postdoc and then a systems scientist in the Department of Electrical and Computer Engineering at CMU, working in the SAFARI Research Group led by Prof. Onur Mutlu. Before moving to CMU, he was a graduate student in the M3 Architecture Group, which is part of the Computer Systems Laboratory at Cornell University. At Cornell, he designed efficient, high-performance memory systems for multicore architectures.


Panel Moderator:

Tamara Silbergleit Lehman Professor Tamara Silbergleit Lehman:  Dr. Tamara Silbergleit Lehman is an assistant professor at the University of Colorado Boulder in the Electrical, Computer and Energy Engineering Department. She also holds a courtesy appointment in the Computer Science department and she is a member of the Colorado Research Center for Democracy and Technology. Her work focuses on all aspects of computer security from the hardware perspective. Her research interests span a wide array of topics on the intersection of computer architecture and security.  Before doing her PhD at Duke University, she completed an Masters of Engineering degree at Duke University in the Electrical and Computer Engineering Department and a Bachelor of Science from the University of Florida in Industrial and Systems Engineering. She is passionate about computer architecture, and her industrial engineering background gives her a new perspective on ways to optimize systems. She also enjoys working on the security space because it is one of the most challenging problems facing the computer industry.