Biography

I am currently working as a Senior Compute Architect at NVIDIA.
My work focuses on implementation and optimization of Math and Deep Learning libraries such as CUTLASS and others.
I graduated with a PhD in Computer Science from University of California, Irvine (UCI).
My research interests lie in the fields of Compilers and High-Performance Computing.
More specifically, I have worked on Loop Optimizations (including Auto-Vectorization techniques and Polyhedral Model based techniques) as part of my PhD dissertation.
I have also worked on the use of Artificial Intelligence (AI) to assist compilers and compiler optimizations, and study the impact of compiler optimizations on energy efficiency.
I developed a meta-compilation framework, the MCompiler, for improved performance and efficiency.
Previously, I have interned at NVIDIA, Intel and Samsung Research America working on various compilers, runtime libraries and performing hardware-oriented optimizations for CPUs and GPUs.

Work Experience

Senior Compute Architect, NVIDIA

Since July 2021, Santa Clara, CA

Deep Learning Performance Library Intern, NVIDIA

June - Sept 2020, Santa Clara, CA

Performance Tools Pathfinding Intern, Intel

June - Sept 2019, Austin, TX

Mentor: David Kuck, Intel Fellow

Intern Compiler Engineer (PGI OpenACC/GPGPU team), NVIDIA

June - Sept 2017, Hillsboro, OR

Mentor: Michael Wolfe

Intern Compiler Engineer (PGI OpenACC/GPGPU team), NVIDIA

July - Sept 2016, Hillsboro, OR

Mentor: Michael Wolfe

Intern Compiler Engineer (GPU Compiler team), Samsung Research America (SRA)

June - Sept 2015, Mountain View, CA

Education

PhD, Computer Science, University of California, Irvine

June 2021

Advisors: Alex Veidenbaum and Alex Nicolau

MS, Computer Science, University of California, Irvine

June 2016

BTech, Computer Science, National Institute of Technology (NIT) Uttarakhand, India

June 2014

Publications

• A Multiple Compiler Framework for Improved Performance
  A. Shivam, A. Nicolau, A.V. Veidenbaum
  Languages and Compilers for Parallel Computing. LCPC 2023.

• OpenACC Routine Directive Propagation using Interprocedural Analysis
  A. Shivam, M. Wolfe
  WACCPD 2018 - Fifth Workshop on Accelerator Programming Using Directives, SC 2018.

• Towards an Achievable Performance for the Loop Nests
  A. Shivam, N. Watkinson, A. Nicolau, D. Padua, A.V. Veidenbaum
  Languages and Compilers for Parallel Computing. LCPC 2018.

• Load Balancing with Polygonal Partitions
  A. Shivam, P. Ravi, A.V. Veidenbaum, A. Nicolau and R. Cammarota
  IMPACT 2018 - 8th International Workshop on Polyhedral Compilation Techniques, HiPEAC 2018.

• Using Hardware Counters To Predict Vectorization
  N. Watkinson, A. Shivam, Z. Chen, A.V. Veidenbaum, A. Nicolau, Z. Gong
  Languages and Compilers for Parallel Computing. LCPC 2017.

• Polygonal Iteration Space Partitioning
  A. Shivam, A. Nicolau, A.V. Veidenbaum, M.M. Furnari, R. Cammarota
  Languages and Compilers for Parallel Computing. LCPC 2016.

Pedagogical Research

• Teaching Parallel Computing and Dependence Analysis with Python
  N. Watkinson, A. Shivam, A. Nicolau and A.V. Veidenbaum
  EduPar-19: 9th NSF/TCPP Workshop on Parallel and Distributed Computing Education, IPDPS Workshops, 2019.

PhD Dissertation

• A Multiple Compiler Approach for Improved Performance and Efficiency
  A. Shivam
  UC Irvine: Computer Science. (2021)

Master Thesis

• Polygonal Iteration Space Partitioning using the Polyhedral Model
  A. Shivam
  UC Irvine: Computer Science. (2016)

Academic Services

• Reviewer for International Journal of Parallel Programming (IJPP).
• Reviewer for The Journal of Supercomputing.
• Reviewer for IEEE Transactions on Parallel and Distributed Systems (TPDS).

Media Coverage and Talks

• UCI computer scientists make art come alive at the Venice Biennale - LA Times
• UCI computer scientists breathe life into Venice Biennale installations - UCI News
• ICS Researchers Publish Novel Paper on System Design for Virtual Beings - UCI ICS News
• CUTLASS: A CUDA C++ Template Library for Accelerating Deep Learning Computations - Linux Open Source Summit North America 2023

Contact

Email: aniketsh AT uci DOT edu