sameeranjoshi
Sameeran Joshi
PhD Student @U of Utah
Whoami –help
Sameeran Joshi is a second-year PhD student at the Kahlert School of Computing.
For more information, please connect:
- @sameeran_joshi Twitter handle
- On Linkedin
- github profile
- Email joshisameeran17_at_gmail_dot_com
- Check out resume
- ORCiD ID - https://orcid.org/0009-0003-0345-4235
Research Interest
Sameeran Joshi is interested in working at the intersection of Programming Languages and Computer Architecture, where he can design new abstractions and compilation techniques for existing and emerging architectures. Specifically, his research interests include programming languages, compilers, and high-performance computing (HPC). He revolves around Libraries, Languages, and Compilers.
Publications
- Scheduling Languages: A Past, Present, and Future Taxonomy, M Hall, C Oancea, AC Elster, A Rasch, S Joshi, AM Tavakkoli, R Schulze. Under submission
- PEAK: Generating High-Performance Schedules in MLIR, Amir Mohammad Tavakkoli∗, Sameeran Joshi∗, Shreya Singh, Yufan Xu, P. Sadayappan, and Mary Hall. In Proceedings of the 36th International Workshop on Languages and Compilers for Parallel Computing(LCPC23). Oct. 2023(Accepted)
- An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report, Mary Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam. In EduHPC workshop at The International Conference for High-Performance Computing, Networking, Storage, and Analysis(SC23) (Accepted)
Work Experience
Research Aide Technical (June 2024 - August 2024)
Argonne National Lab, Chicago He worked as a Research Aide Technical at Argonne National Laboratory as an intern over Summer’24. During his internship, he explored challenges to support the HPC/Scientific software stack on AI accelerators like Cerebras, Sambanova, Groq, GraphCore, etc… using the AI testbed at Argonne. Specific focus on compilers, programming languages, and related software stack. I specifically worked on adding a backend support for GraphCore based Poplar codegen into DaCe a Data-Centric Framework which helps create arbitrary dataflow graphs.
Compiler Engineer (July 2019 - May 2022)
AMD CPU Compiler Team, India He worked in various roles at AMD. Initially, he was working as a software verification engineer fuzzing the LLVM Compiler. He found various critical bugs and miscompilation errors in the AOCC Compiler. Later, he worked on the LLVM Flang project, adding support for various F2008 features of the Fortran Language and OpenMP-related features in the LLVM Flang upstream compiler. He was also working on the Flang driver support in LLVM. He built an internal tool based on LLVM Bolt for the AOCC Compiler to analyze the performance of their HPC workloads and find missing optimizations.
Internship experience (Sept 2018 - April 2019)
Mentor: Andi Kleen, Intel, Long time linux kernel contributor
GNU Compiler Collection(GCC)
He collaborated with a Google Summer of Code(GSoC) candidate on the GCC Compiler infrastructure to find bugs in the GCC compiler, extending the Time award research project Csmith for GCC C99 Language extensions. It was a fun experience getting into the compiler world by fuzzing the compiler.
Talks, blogs, miscellaneous and other fun stuff
- Talks
- Check out his Blogs
- Miscellaneous stuff
- Some Fun stuff with life