Giulia Guidi, PhD

Assistant Professor of Computer Science at Cornell University | she/her

437 Gates Hall, Cornell University

Campus Rd, Ithaca, NY 14853

I am an Assistant Professor in the Department of Computer Science and a Graduate Field Faculty in the Department of Computational Biology and the Center for Applied Math at Cornell. I received my PhD in Computer Science from UC Berkeley. I work in the field of high-performance computing for large-scale computational sciences (in particular, computational biology). I’m interested in the development of algorithms and software infrastructures on parallel machines to accelerate data processing without sacrificing programming productivity and to make high-performance computing more accessible.

I received a 2020 SIGHPC Computational & Data Science Fellowship and I am an Affiliate Faculty in the Applied Math and Computational Sciences Division at Lawrence Berkeley National Laboratory.

A recent CV.

I’m excited to teach CS 5220 again in Spring 2024. If you have any inquiries about CS 5220, please feel free to email me.

The best way to contact me is by email:


Nov 8, 2023 I’m delighted and honored to be receipient of the ISSNAF Young Investigator Mario Gerla Award 2023 for Research in Computer Science.
Jul 31, 2023 Our paper titled “Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU” has been accepted to SC23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.
Apr 20, 2023 I’m happy to announce I received an ACCESS Discovery Allocation Award from the NSF Innovative Cyberinfrastructure ACCESS Program to support the proposal titled “Scalable and Diverse Data Analytics through High-Performance Abstraction”.
Mar 10, 2023 Our paper titled “Designing Efficient SIMD Kernels for High Performance Sequence Alignment” has been accepted to the 22nd IEEE International Workshop on High Performance Computational Biology (HiCOMB) at IPDPS 2023.
Dec 1, 2022 I’m happy to announce I received the Intel Corporation grant for curriculum developement on “Heterogeneous Computing and Programming Heterogeneous Architectures with SYCL and oneAPI Libraries and Frameworks”.
Dec 1, 2022 I’m excited to be part of the program committee of many great conferences next year, such as SC, EuroPar, SIAM ACDA, and IEEE Cluster.
Oct 28, 2022 I have been invited to give a guest talk for the Fall 2022 Cornell Artificial Intelligence Seminar entitled “Parallel Computing: From Luxury to Sine Qua Non - Examples from Biology and Machine Learning”.
Sep 26, 2022 In Spring 2023, I will teach CS5220 (Applications of Parallel Computer) at Cornell University, while in Fall 2023 I will teach a PhD course entitled “Advanced Topics in Parallel Computing”.

selected publications

  1. 10 Years Later: Cloud Computing is Closing the Performance Gap
    4th Workshop on Hot Topics in Cloud Computing Performance at the International Conference on Performance Engineering (ICPE) 2021. 2021
  2. Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU
    Burchard, Luk, Zhao, Max Xiaohang, Langguth, Johannes, Buluç, Aydın, and Guidi, Giulia
    International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’23) 2023
  3. Parallel String Graph Construction and Transitive Reduction for De Novo Genome Assembly
    In International Parallel and Distributed Processing Symposium (IPDPS) 2021