Summary
Prakash Raghavendra is a senior research-oriented engineer with 12+ years driving performance engineering and deep neural network optimization for accelerators such as GPGPUs and FPGAs, currently serving as Senior Fellow at AMD. His career spans OS kernels, drivers, compilers, JVMs, profilers and high-performance computing across industry leaders including AMD, HPE, Adobe and HP, plus an academic stint as an associate professor at NITK. He blends hands-on compiler and runtime expertise with application-level performance tuning for server and HPC products, having led OpenCL/HSA compiler work and application performance engineering for AMD APUs and servers. A passionate educator and independent researcher, he holds advanced degrees from IISc and IIT Madras and scored top ranks in his undergraduate class, reflecting sustained academic rigor. Less obvious is his rare combination of kernel-level systems experience with deep learning accelerator optimization, enabling end-to-end performance wins from silicon to models.
12 years of coding experience
14 years of employment as a software developer
BE, Computer Science, Secured VII Rank for the University (1991), BE, Computer Science, Secured VII Rank for the University (1991) at University of Mysore
Research Doctorate, Computer Science, Research Doctorate, Computer Science at Indian Institute of Science
Master of Technology (MTech), Computer Science, A, Master of Technology (MTech), Computer Science, A at IIT Madras
hindi and kannada