About Me

Rajesh graduated with Master's and PhD from the Department of Computer Science & Engineering at IIT Madras and a BTech from Thiagarajar College of Engineering, Madurai. His work focuses on improving GPU's Compiler Performance during the day time, and wish to carry out research/teaching during his free time. His broad research area is parallelization which includes GPU Computing, Graph Analytics and High-performance Computing (HPC). Rajesh is passionate about every aspect of parallelizing graph algorithms/problems on GPUs. He has co-authored three international publications (including a Core A conference) and holds one Indian patent. Rajesh regularly serves as a Program Committee member in the Artifact Evaluation track of top conferences (such as CGO, PPoPP and SC) and subreviewer for HiPC. He has received outstanding teaching assistant (STAR TA) award thrice at IIT Madras, second runner-up twice in 2008 and 2009 in IBM’s the Great Mind Challenge (TGMC), a prestigious National-level Contest and secured a top 10th place in PACE 2018, and participated in DIMACS 2021.

As an open-source advocate, all our publications' source codes are public to encourage the reproducibility of our experiments.

As I have an innate tendency to tinker and fix things, it adds more value to our time-bound projects to quickly resolve HPC/infrastructure issues and focus on our research. I always document my technical encounters on my blog for later reference, which is/was helpful for other members of our group and me.

My PGP Key ID is 0xEA64BABE. If you wish to send me an encrypted email, you are always welcome! :-)

My GitHub chart

CV

Link to my CV (updated: 20-Apr-2024).