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  • Indian Institute of Technology Bhilai
  • India
  • 23:21 (UTC +05:30)

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KishantLab/README.md

Hi there 👋

I’m Kishan Tamboli, a PhD student at the Indian Institute of Technology Bhilai, specializing in High-Performance Computing (HPC). I’m passionate about exploring the potential of HPC to solve complex scientific and engineering problems, and I’m always looking for new challenges and opportunities to learn and grow.

🎓 Education

  • PhD in High-Performance Computing, Indian Institute of Technology Bhilai (Expected 2027)
  • Master’s in Computer Application, Guru Ghasidas University Bilaspur C.G. (2021)
  • Bachelor’s in Computer Application, Bilaspur University Bilaspur C.G. (2018)

🔬 Research Interests

  • Parallel and distributed computing
  • Performance optimization
  • Scalable algorithms
  • Machine learning for HPC
  • HPC applications in science and engineering

💼 Professional Experience

  • Project Associate - I, IIT Bhilai (Apr 2021 - Jul 2022)

📚 Positions And Responsibilities

  • Teaching Assistant, CS251 Introduction to programming language (Aug 2023 - Dec 2023)
  • Teaching Assistant, CS251 Introduction to programming language (Jan 2024 - May 2024)
  • Teaching Assistant, MAL505 Database Management System (Msc Maths) (Aug 2024 - Dec 2024)
  • Teaching Assistant, CS516 Parallelization of Programs (Jan 2025 - Present)

🛠 Skills

  • C, C++, Python, Fortran
  • MPI, OpenMP, CUDA
  • Linux
  • Performance analysis tools
  • Scientific software development

📖 Transactions & Journals

  • LSTC: Large-Scale Triangle Counting on Single GPU, Kishan Tamboli, Vinayak Kesarwani, Sudeep Ranjan Sahoo, Vishwesh Jatala, Journal of Parallel and Distributed Computing (JPDC-D-24-00534). [Status: Submitted]  

📜 Publication

  • Sparse Matrix Matrix Multiplication using single GPU, Apurva Dogra, Kishan Tamboli, Vishwesh Jatala at Student Research Symposium, 30th IEEE 2025International Conference on High-Performance Computing, Data, and Analytics (HiPC), 2023.
  • A Cluster-Based Sampler for Fast GNN, Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala at 2024 IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW), 2024.
  • A Partitioning Scheme for Large Scale Clique Counting on Single GPU, Vinayak Kesarwani, Shivangi Gaur, Sudeep Ranjan Sahoo, Kishan Tamboli, Vishwesh Jatala, 2024 IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW), 2024.

💡 Likes

  • Reading about the latest advancements in HPC
  • Experimenting with new HPC technologies
  • Collaborating with other researchers
  • Sharing my knowledge with others
  • Attending conferences and workshops

🌐 Connect with me!

✨ Additional Information

  • I’m fluent in English and Hindi.
  • I’m a team player and always willing to help others.
  • I’m open to new opportunities and always looking to learn new things.

Popular repositories Loading

  1. TriangleCount TriangleCount Public

    LSTC

    Cuda 1

  2. gnn_dgl gnn_dgl Public

    Python package built to ease deep learning on graph, on top of existing DL frameworks.

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  3. KishantLab KishantLab Public

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  4. Galois Galois Public

    Forked from IntelligentSoftwareSystems/Galois

    Galois: C++ library for multi-core and multi-node parallelization

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  5. METIS METIS Public

    Forked from KarypisLab/METIS

    METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

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  6. pymetis pymetis Public

    Forked from inducer/pymetis

    A Python wrapper around Metis, a graph partitioning package

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