|Designation:||Technical Lead, GPU Computer Programming Technologies|
|Title:||GPU Computer: Opportunities in the Mobile and Embedded Space|
Abstract: GPU Compute capable hardware is becoming increasingly available in mobile and embedded devices. To improve performance and energy efficiency of their applications, developers are learning new APIs and optimisation techniques that are different from the ones used for desktop-class GPUs. The speaker will give an outlook for GPU Compute in the mobile and embedded space and briefly present several case studies.
Biography : At ARM since 2010, Dr Lokhmotov has been working in the area of programming language design and implementation for 12 years, both as a researcher and engineer, primarily focusing on productivity, efficiency and portability of programming techniques for parallel systems. Dr Lokhmotov is leading development of GPU Computer programming technologies for the ARM Mali GPU series, including production (OpenCL, Renderscript) and research (FP7 project CARP) compilers. Previously he worked as post-doctoral research associate at Imperial College London. 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.