General Lab Information

Vincent Pascuzzi

Research Staff 3, Computation and Data-Driven Discovery, Computational Science Initiative

Vincent Pascuzzi

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-106
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-3203
vpascuzzi@bnl.gov

Dr. Pascuzzi works currently in the Computation and Data-Driven Discovery (C3D) and High Performance Computing (HPC) groups at BNL's Computational Science Initiative. He holds Ph.D. and M.Sc. degrees in Physics from the University of Toronto and B.Sc. in Physics and Computer Science from Brock University. Prior to joining BNL in September 2021, he was a Postdoctoral Research Scholar at Lawrence Berkeley National Laboratory, focused on heterogeneous and HPC applications for high-energy physics, as well as quantum information science. Dr. Pascuzzi was also a member of the ATLAS experiment for nearly a decade, using data collected by the ATLAS detector at the Large Hadron Collider to search for physics beyond the Standard Model (BSM). He made significant contributions to the ATLAS's software and computing infrastructure, holding a leading role within the simulation group. His current research interests include performance portability for high-performance computing, large-scale workflow systems for scientific applications and quantum computing.

Outside the office, Dr. Pascuzzi enjoys mountain biking, hiking, surfing and spending time at the beach with his family.

Research | Education | Appointments | Publications | Awards


Research Activities

  • High Performance Computing
    • Monte Carlo simulation
    • Performance portability
    • Programming models and compilers
    • Adaptive and ML-coupled scientific workflows
  • Quantum Information Science
    • Quantum error mitigation and applications to quantum sensing
    • Benchmarking and characterization
    • Compilation and circuit synthesis (*)

Program Committees
DHPCC++: Distributed and Heterogeneous Programming in C/C++
28th International European Conference on Parallel and Distributed Computing

QCCC-22: The First International Workshop on Quantum Classical Cooperative Computing
36th IEEE International Parallel and Distributed Processing Symposium

Peer-Review
Nature Computational Science (2022)

See Google Scholar for an up-to-date list of publications. (*) Interesting future research directions. Please get in touch for potential collaborations!

Education

Doctor of Philosophy, Physics
University of Toronto,  Toronto, Ontario, Canada
September 2015 — September 2019

Master of Science, Physics
University of Toronto, Toronto, Ontario, Canada
September 2014 — September 2015

Bachelor of Science,  Physics and Computer Science
Brock University, St. Catharines, Ontario, Canada
September 2010 — April 2014

Professional Appointments

Positions
Computational Science Initiative
Brookhaven National Laboratory, Upton, NY USA
September 2021 — Present

Postdoctoral Research Scholar, Physics Division
Lawrence Berkeley National Laboratory, Berkeley, CA USA
October 2019 — September 2021

Selected Publications

  • Pascuzzi VR, Goli M (2022) Benchmarking a Proof-of-Concept Performance Portable SYCL-based Fast Fourier Transformation Library. International Workshop on OpenCL. https://doi.org/10.1145/3529538.3529996
  • Pascuzzi VR, Bao N, Li A (2022) On the importance of scalability and resource estimation of quantum algorithms for domain sciences
  • Pascuzzi VR, He A, Bauer CW, et al (2022) Computationally efficient zero-noise extrapolation for quantum-gate-error mitigation. Physical Review A 105:. https://doi.org/10.1103/physreva.105.042406
  • Tognini S, Canal P, Evans T, et al (2022) Celeritas: GPU-accelerated particle transport for detector simulation in High Energy Physics experiments. https://doi.org/10.2172/1863002
  • Banerjee S, Brown DN, Brown DN, et al (2022) Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments
  • Pascuzzi VR, Goli M (2022) Achieving Near-Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL Interoperability. Lecture Notes in Computer Science 22–45. https://doi.org/10.1007/978-3-030-97759-7_2
  • Urbanek M, Nachman B, Pascuzzi VR, et al (2021) Mitigating Depolarizing Noise on Quantum Computers with Noise-Estimation Circuits. Physical Review Letters 127:. https://doi.org/10.1103/physrevlett.127.270502
  • ATLAS Collaboration (2021) AtlFast3: the next generation of fast simulation in ATLAS. arXiv. https://doi.org/10.48550/ARXIV.2109.02551
  • Dong Z, Gray H, Leggett C, Lin M, Pascuzzi VR, Yu K (2021) Porting HEP Parameterized Calorimeter Simulation Code to GPUs. Frontiers in Big Data. doi: 10.3389/fdata.2021.665783
  • Johnson SR, Tognini SC, Canal P, Evans T, Jun SY, Lima G, Lund A, Pascuzzi VR (2021) Novel features and GPU performance analysis for EM particle transport in the Celeritas code. EPJ Web of Conferences 251:03030. doi: 10.1051/epjconf/202125103030
  • Chapman J, Cranmer K, Gadatsch S, Golling T, Ghosh A, Gray HM, Lari T, Pascuzzi VR, Raine JA, Rousseau D, Salamani D, Schaarschmidt J (2020) Fast simulation methods in ATLAS: from classical to generative models. EPJ Web of Conferences 245:02035. doi: 10.1051/epjconf/202024502035
  • Albrecht J, Alves AA, Amadio G, Andronico G, et al. (2019) A Roadmap for HEP Software and Computing R&D for the 2020s. Computing and Software for Big Science. doi: 10.1007/s41781-018-0018-8
  • Aaboud M, Aad G, Abbott B, Abdinov O, et al. (2018) Search for heavy resonances decaying into WW in the $$e\nu \mu \nu $$ e ν μ ν final state in pp collisions at $$\sqrt{s}=13$$ s = 13 $$\,\text {TeV}$$ TeV with the ATLAS detector. The European Physical Journal C. doi: 10.1140/epjc/s10052-017-5491-4
  • Aaboud M, Aad G, Abbott B, Abdinov O, Abeloos B, et al. (2018) Combination of searches for heavy resonances decaying into bosonic and leptonic final states using 36  fb−1 of proton-proton collision data at s=13  TeV with the ATLAS detector. Physical Review D. doi: 10.1103/physrevd.98.052008
  • Aaboud M, Aad G, Abbott B, Abdallah J, et al. (2017) Performance of the ATLAS trigger system in 2015. The European Physical Journal C. doi: 10.1140/epjc/s10052-017-4852-3
  • Anco SC, Meadows T, Pascuzzi V (2016) Some new aspects of first integrals and symmetries for central force dynamics. Journal of Mathematical Physics 57:062901. doi: 10.1063/1.4952643

Awards & Recognition

Director’s Discretionary Reserve Year 2022 Award for QIS @ Perlmutter
Awarded at NERSC's discretion to support strategic, innovative and challenging research in quantum information science.
National Energy Research Scientific Computing Center, Berkeley, CA USA
January 2022 — Present

Computational High Energy Physics Award with Fermi Research Alliance
Lawrence Berkeley National Laboratory, Berkeley, CA USA
April 2020 — September 2021

Graduate Research Fellow
University of Toronto, Toronto, ON Canada
September 2017 — September 2019

E.C. Stevens Award (Physics)
University of Toronto, Toronto, ON Canada
September 2016 — September 2017

Undergraduate Research Fellow
University of Toronto, Toronto, ON Canada
April 2014 — September 2014

Natural Sciences and Engineering Research Council of Canada
    Undergraduate Student Research Award

Brock University, St. Catharines, ON Canada
April 2012 — September 2012

Vincent Pascuzzi

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-106
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-3203
vpascuzzi@bnl.gov

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