Krishnan Kailas is a Research Staff Member in the AI Hardware Center at IBM Thomas J. Watson Research Center at Yorktown Heights, New York. He joined IBM Research in May 2001, after receiving a Ph.D. from the University of Maryland, College Park. His Ph.D. research focused on the microarchitecture and code generation issues of clustered ILP processors. Prior to graduate studies at Maryland, he worked at Bhabha Atomic Research Center designing real-time operating systems, application and system software, and hardware for embedded systems for real-time process control and instrumentation.
Dr. Kailas has contributed to the design and development of a wide spectrum of systems and research topics such as embedded real-time systems, hard real-time operating systems, VLSI design, temporal accuracy of microprocessors, high-speed network traffic shapers, VLIW architectures, binary translation systems, static (compiler) and dynamic (instruction scheduling unit) scheduling and resource allocation algorithms, computer architecture and microarchitecture, compilers and code generators, statically scheduled low-power DSP architecture exploiting fully-exposed pipelines, formal verification, performance modelling and analysis, full-system emulators and tools for IBM z mainframe processor design, computer architectures exploiting 3D integration, qubit control for quantum computing, and AI compute accelerators exploiting approximate digital and analog in-memory computing techniques. Many of his research contributions have been incorporated into IBM microprocessors and systems. Dr. Kailas is a recipient of several IBM Research division technical achievement awards, and the 2021 Mahboob Khan Outstanding Liaison award from the Semiconductor Research Corporation.
Dr. Kailas served as the IBM Research division's Campus Relationship Manager for University of Maryland College Park during 2005-2019. He has been a member of the technical advisory board (TAB) of GRC programs at Semiconductor Research Corporation (SRC) since 2016. He served as the vice-chair of the TAB for the SRC System-level Design (SLD) program (2018-2019), and the chair of the TAB for the AI Hardware research (AIHW) program (2019-2021). In addition, he has been an organizer for the IBM IEEE AI Compute Symposium.
Here're some of the research projects he has contributed to: