Krishna Tapped for Google Faculty Research Award

Dateline

Images

Tushar Krishna has been named as one of the recipients of the Google Faculty Research Award (FRA). Krishna is an assistant professor in the Georgia Tech School of Electrical and Computer Engineering (ECE).

The Google FRA program focuses on funding world-class technical research in Computer Science, Engineering, and related fields. Among 910 proposals from 40 countries and over 320 universities submitted this year, 158 projects were selected for funding. The goal of the Google FRA is to identify and strengthen long-term collaborative relationships with faculty working on problems that will impact how future generations use technology. The award is highly competitive – only 15 percent of applicants receive funding – and each proposal goes through a rigorous Google-wide review process.

The title of Krishna’s award-winning proposal was "Using ML to Design ML Accelerators." With the end of Moore’s Law, the performance of conventional CPUs has stagnated. The growing computing demands from applications, such as Machine Learning (ML), has led to an explosion of custom hardware accelerators (across several companies and startups) for running Machine Learning algorithms at real-time latency and high energy-efficiency. 

A key challenge, however, is that the design space of these accelerators is extremely huge due to an increasing and rapidly evolving suite of Artificial Intelligence/ML models, different requirements for training vs. inference, a plethora of dataflow approaches for minimizing data movement, and varying area-power budgets depending on the target device. Krishna’s proposal seeks to enable rapid design and deployment of ML accelerators by leveraging ML algorithms to efficiently represent and search through this hardware design space.

An ECE faculty member since 2015, Krishna leads the Synergy Lab at Georgia Tech. He and his team focus on architecting next-generation intelligent computer systems and interconnection networks for emerging application areas such as machine learning. Krishna also received an NSF CISE Research Initiation Initiative Award in 2018. He recently had one of his papers selected as an IEEE Micro Top Pick from computer architecture conferences and a second paper was selected as an Honorable Mention; Krishna’s work will be acknowledged in the May/June 2019 issue of IEEE Micro.

Yu to Receive Inaugural SRC Young Faculty Award

Dateline

Keywords

SRC

Images

Shimeng Yu

Shimeng Yu has been named as the recipient of the inaugural Semiconductor Research Corporation (SRC) Young Faculty Award. 

An associate professor in the Georgia Tech School of Electrical and Computer Engineering (ECE), Yu will be presented with the award at the annual SRC TECHCON meeting, to be held September 9-10, 2019 in Austin, Texas. He is also a member of the Institute for Electronics and Nanotechnology. This new award is presented to an untenured full-time faculty member who is a principal investigator (PI) or co-principal investigator working on research that greatly enriches the SRC research agenda.

Yu has been a member of Tech’s ECE faculty since August 2018, where he leads the Laboratory for Emerging Devices and Circuits. Yu is involved in several SRC projects. 

  • Yu is a member of the Applications and Systems-Driven Center for Energy-Efficient Integrated NanoTechnologies (ASCENT), which is part of the SRC/DARPA Joint University Microelectronics Program. ASCENT's mission is to provide breakthrough advances in integrated nanoelectronics to sustain the promise of Moore’s Law. Led by the University of Notre Dame, along with 13 partner universities and 29 principal investigators, the Center is funded for $49 million over five years. Yu's specific research within ASCENT develops emerging nanoelectronic devices that emulate the synapses and neurons to build hardware platforms for machine learning and neuromorphic computing. 
  • He is a member of the SRC nanoelectronic COmputing REsearch (nCORE) program, in particular the Energy-Efficient Computing: From Devices to Architectures (E2CDA) program. In this effort, jointly funded with the National Science Foundation, Yu is developing a software simulation framework to benchmark the emerging device technology's impact on artificial intelligence across the layers from algorithms, computer architecture, and circuit and chip design down to devices and materials. 
  • Yu is a PI of the SRC Global Research Collaboration (GRC) program on a project for hardware security. He and his colleagues are designing a fingerprint of microchips with emerging nanoelectronic devices for authentication and encryption. 

The SRC is a global industrial technology research consortium. With its highly regarded university research programs, SRC plays an indispensable part in the R&D strategies of some of industry's most influential entities.Companies who are SRC members include Intel, IBM, Micron, Samsung, ARM, and Taiwan Semiconductor Manufacturing Company, Ltd.

Subscribe to moore's law