HiPEAC

Anton Lokhmotov

Dr Anton Lokhmotov has been working on designing and optimizing Computer Systems for over 20 years, as an entrepreneur, engineer and researcher.

In 2020, Dr Lokhmotov founded KRAI to focus on creating ultra-efficient and cost-effective Computer Systems for emerging Generative AI applications. KRAI is a purveyor of premium benchmarking and optimization solutions for AI Systems. As a founding member of the industry-leading MLPerf benchmarking competition, KRAI acts as an “Olympic coach” to industry leaders such as Qualcomm, Google, Dell Technologies, Hewlett Packard Enterprise, Lenovo and other partners, having contributed to some of the fastest and most energy efficient results in the history of MLPerf. KRAI leverages the team’s decades of expertise in performance optimization and workflow automation for AI Systems to optimize the TCO and to mitigate risks of deploying AI solutions in enterprise.

In 2015, Dr Lokhmotov co-founded dividiti to pursue a vision of efficient and reliable computing everywhere. As CEO, he led dividiti from bootstrapping the development of their open-source Collective Knowledge technology for collaborative and reproducible R&D to B2B sales to Fortune 50 customers.

As an engineering lead and manager at Arm in 2010-2015, Dr Lokhmotov contributed to the world’s first GPU Compute technologies for mobile and embedded devices, including production (OpenCL, RenderScript) and research (EU-funded project CARP) compilers for the Arm Mali GPU series (over 10 billion units shipped to date). He was actively involved in engaging with partners and customers, educating developers, and contributing to open-source projects (LLVM) and standardization (OpenCL) efforts.

In 2008-2009, as a research associate at Imperial College London, Dr Lokhmotov investigated productivity, efficiency and portability of programming techniques for heterogeneous systems.

Dr Lokhmotov received a PhD in Computer Science from the University of Cambridge in 2008, and an MSc in Applied Mathematics and Physics (summa cum laude) from the Moscow Institute for Physics and Technology in 2004.

Dr Lokhmotov serves as External Member to the Faculty Board and Degree Committee at the Department of Computer Science and Technology at the University of Cambridge.


Expertise areas

Application areas: Energy infrastructure, Healthcare, Industrial automation, Smart city, Space

Topics: Accelerators, Artificial intelligence, Compilation, Computer architecture, Computer vision, Cyber-physical systems, Deep learning, Design Space Exploration, Disruptive technologies, Energy efficiency / Low-power computing, GPUs, Machine learning, Multicore / Manycore, Natural language processing, Optimization, Parallel computing, Performance engineering, Performance portability, Programming languages, Robotics, Runtime performance, System Development, Usability