Uday Bondhugula is the founder, CEO, and CTO at PolyMage Labs and a professor of computer science at the Indian Institute of Science (IISc), in Bangalore, India. His research interests lie in the areas of high-performance computing, compilers, polyhedral framework, automatic parallelization, and high-performance systems/accelerators for deep learning and artificial intelligence. He received his Ph.D. from the Ohio State University in 2008 and his Bachelor’s in Computer Science from the Indian Institute of Technology, Madras, in 2004. He is the original author and maintainer of Pluto, a source-to-source loop parallelization and optimization tool based on the polyhedral framework. He recently received the ACM SIGPLAN Most Influential Paper award for his PLDI 2008 paper on polyhedral optimization for parallelism and locality. As a visiting researcher at the Google Brain team in 2018, he was a founding team member of the MLIR project.
Akshay Baviskar is a Senior Compiler Engineer at PolyMage Labs. He obtained his M. Tech. (Research) degree in Computer Science and Engineering at the Indian Institute of Science (IISc), Bangalore, in 2021, where he was part of the High-Performance Computing Lab. His research interests at IISc were broadly focused at the intersection of Computer Architecture, Operating Systems, and High-performance Computing. Before joining IISc, Akshay worked as a Senior Software Engineer at Continental Automotive Components (India). Badminton and Gym keep him occupied during his free time.
Vimal is a Senior Compiler Engineer at Polymage Labs. He graduated with an M-Tech degree in Computer Science from the Indian Institute of Science in June 2022. As part of his M-Tech project, he worked on optimizing the page migration mechanism in the Linux kernel for Intel’s Optane DC persistent memory. Apart from Computer Science, he enjoys playing badminton and exercising.
Arnab Dutta obtained his Bachelor of Technology in Computer Science and Engineering at the Indian Institute of Technology, Tirupati, in 2021. He is interested in problem-solving, and he has been actively involved in competitive programming for a long time. He is also interested in security and has contributed to Libmicrovmi (an open-source virtual machine introspection library) as part of Google Summer Of Code 2020. His hobbies include playing chess, reading fiction and binge-watching Netflix shows.
Navdeep Katel obtained his Master’s (Research) degree in Computer Science and Engineering at the Indian Institute of Science (IISc), Bangalore in 2021. Prior to IISc, he obtained his Bachelors from U.I.E.T Panjab University in 2019. As IISc, he was part of the Multicore Computing Lab where he researched automatic code generation targeting accelerators such as GPUs, including tensor cores on NVIDIA GPUs. He is particularly interested in code generation using the MLIR compiler infrastructure.
Anoop J S is a Senior Compiler Engineer at PolyMage Labs. He graduated with a Master’s in Computer Science and Engineering from the Indian Institute of Science, Bangalore in 2017. Before joining PolyMage Labs, he worked for Oracle India as a Senior Member of the Technical Staff. Outside work, he is interested in film photography, VR gaming, and movies.
Prathamesh is a recent graduate from India with an interest in High-Performance Computing and Machine Learning. He obtained his B.Tech from Veermata Jijabai Technological University (VJTI) Mumbai in 2023. He was a visiting intern at the Data-Intensive Applications and Systems lab at EPFL, Switzerland. He has also been a successful participant in the Google Summer of Code (with Boost C++ Libraries) and the Linux Foundation Mentorship (with RISC-V) in the past. In his spare time, he likes playing chess and hiking.
Arpit Patel graduated with an M-Tech in Computer Science and Engineering from the Indian Institute of Science, Bangalore, in June 2024. His primary interests lie in the systems aspects of computer science, especially in high-performance computing, compilers, and security. During his M-Tech project, he focused on identifying vulnerabilities in PowerGrid systems using fuzzing techniques. He has experience in compiler optimizations using MLIR gained during his internship at PolyMage Labs in 2023. He has also been actively involved in competitive programming. Outside of his professional endeavors, he enjoys swimming and going on bike rides.
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