World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4878
World Ranking
13097
National Ranking
5267

Overview

Shoaib Kamil is affiliated with Adobe Systems in the United States. Their research spans core areas within computer science and engineering, with a particular emphasis on hardware and architecture, computer vision and pattern recognition, and computer graphics and computer-aided design. Additional subfields include computational mechanics and signal processing.

The scientist's work is primarily focused on topics related to parallel computing and optimization techniques, computer graphics and visualization techniques, and embedded systems design techniques. Other research interests include 3D shape modeling and analysis, numerical methods and algorithms, advanced data storage technologies, and advanced optimization algorithms research.

Frequent collaborators in Shoaib Kamil's research include Teseo Schneider, Daniele Panozzo, Xuan Tang, Changwan Hong, and Saman Amarasinghe.

Recent publications by Shoaib Kamil encompass the following papers:

  • "A sparse iteration space transformation framework for sparse tensor algebra," 2020, Proceedings of the ACM on Programming Languages
  • "NASOQ," 2020, ACM Transactions on Graphics
  • "Verifying and improving Halide's term rewriting system with program synthesis," 2020, Proceedings of the ACM on Programming Languages
  • "Searching for Fast Demosaicking Algorithms," 2022, ACM Transactions on Graphics
  • "Sparsity-Specific Code Optimization using Expression Trees," 2022, ACM Transactions on Graphics

Shoaib Kamil has contributed multiple times to notable publication venues, including:

  • ACM Transactions on Graphics (5 publications)
  • Proceedings of the ACM on Programming Languages (2 publications)
  • arXiv (Cornell University) (2 publications)
  • Computer Graphics Forum (1 publication)
  • Materials Today Proceedings (1 publication)

Their research outputs reflect a sustained engagement with computational techniques and optimization methods applicable to graphics processing, hardware architecture, and algorithmic improvements. This work intersects with both theoretical and applied aspects of their fields of study.

Best Publications

  • OpenTuner: an extensible framework for program autotuning

    Jason Ansel;Shoaib Kamil;Kalyan Veeramachaneni;Jonathan Ragan-Kelley

  • The potential of the cell processor for scientific computing

    Samuel Williams;John Shalf;Leonid Oliker;Shoaib Kamil

  • The Tensor Algebra Compiler

    Fredrik Kjolstad;Shoaib Kamil;Stephen Chou;David Lugato

  • The tensor algebra compiler

    Fredrik Kjolstad;Shoaib Kamil;Stephen Chou;David Lugato

  • Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

    Kaushik Datta;Shoaib Kamil;Samuel Williams;Leonid Oliker

  • An auto-tuning framework for parallel multicore stencil computations

    Shoaib Kamil;Cy Chan;Leonid Oliker;John Shalf

  • Implicit and explicit optimizations for stencil computations

    Shoaib Kamil;Kaushik Datta;Samuel Williams;Leonid Oliker

  • GraphIt: a high-performance graph DSL

    Yunming Zhang;Mengjiao Yang;Riyadh Baghdadi;Shoaib Kamil

  • Performance Optimizations and Bounds for Sparse Matrix-Vector Multiply

    Richard Vuduc;James W. Demmel;Katherine A. Yelick;Shoaib Kamil

  • Scientific Computing Kernels on the Cell Processor

    Samuel W. Williams;John Shalf;Leonid Oliker;Shoaib Kamil

  • Tiramisu: a polyhedral compiler for expressing fast and portable code

    Riyadh Baghdadi;Jessica Ray;Malek Ben Romdhane;Emanuele Del Sozzo

  • Communication-Optimal Parallel Recursive Rectangular Matrix Multiplication

    James Demmel;David Eliahu;Armando Fox;Shoaib Kamil

  • SEJITS: Getting Productivity and Performance With Selective Embedded JIT Specialization

    Bryan Catanzaro;Shoaib Ashraf Kamil;Yunsup Lee;Krste Asanovic

  • Impact of modern memory subsystems on cache optimizations for stencil computations

    Shoaib Kamil;Parry Husbands;Leonid Oliker;John Shalf

  • Power efficiency in high performance computing

    S. Kamil;J. Shalf;E. Strohmaier

  • Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code

    Riyadh Baghdadi;Jessica Ray;Malek Ben Romdhane;Emanuele Del Sozzo

  • Analyzing Ultra-Scale Application Communication Requirements for a Reconfigurable Hybrid Interconnect

    John Shalf;Shoaib Kamil;Leonid Oliker;David Skinner

  • Analysis of photonic networks for a chip multiprocessor using scientific applications

    Gilbert Hendry;Shoaib Kamil;Aleksandr Biberman;Johnnie Chan

  • Communication Requirements and Interconnect Optimization for High-End Scientific Applications

    S. Kamil;L. Oliker;A. Pinar;J. Shalf

  • Energy-Efficient Computing for Extreme-Scale Science

    D. Donofrio;L. Oliker;J. Shalf;M.F. Wehner

  • Verified lifting of stencil computations

    Shoaib Kamil;Alvin Cheung;Shachar Itzhaky;Armando Solar-Lezama

  • The Potential of the Cell Processor for Scientific Computing

    Samuel Williams;John Shalf;Leonid Oliker;Parry Husbands

Frequent Co-Authors

John Shalf
John Shalf Lawrence Berkeley National Laboratory
Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Katherine Yelick
Katherine Yelick University of California, Berkeley
Armando Fox
Armando Fox University of California, Berkeley
Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
Ali Pinar
Ali Pinar Sandia National Laboratories
James Demmel
James Demmel University of California, Berkeley
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
John R. Gilbert
John R. Gilbert University of California, Santa Barbara

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