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pedrorigon/README.md

Pedro Rigon

HPC Software Engineer · GPU Computing · Mixed-Precision Research

Building high-performance numerical simulation and cryptographic systems on modern GPU architectures.
M.Sc. researcher at UFRGS, focused on mixed-precision computing and precision emulation.

About

I build high-performance software for scientific and engineering workloads, with an emphasis on GPU acceleration, numerical simulation, and performance optimization.

  • Industry: HPC Software Engineer at CESAR, developing and optimizing large-scale oil & gas simulation applications.

  • Research: M.Sc. researcher in Computing at UFRGS, investigating mixed-precision computing and precision emulation on modern GPU architectures.

  • Education: Computer Engineering graduate from UFRGS, awarded Academic Laurels.

  • International Experience: Former research intern at Concordia University in Montreal, Canada, through the MITACS Globalink Research Internship program.

Current research: Mixed-precision arithmetic, precision emulation, and performance optimization for NVIDIA / AMD GPUs.

Expertise

GPU & Parallel Computing

CUDA and HIP kernel development, multi-GPU execution, asynchronous streams, memory management, workload decomposition, and heterogeneous computing. 		Performance Engineering

Profiling, benchmarking, memory-access optimization, kernel tuning, scalability analysis, and performance portability.
Scientific Computing

Numerical methods, large-scale simulation, mixed-precision algorithms, precision emulation, and floating-point analysis. 		HPC Software Engineering

Modern C++, build automation, testing, debugging, reproducible environments, batch scheduling, and maintainable scientific software.

Technology Stack

Programming & GPU Computing

C C++ CUDA HIP Fortran Python

Parallelism & Numerical Computing

OpenMP OpenACC MPI Multi-GPU CUDA Streams Unified Memory Mixed-Precision Precision Emulation

Build, Compilation & Performance

CMake CTest Make GCC Clang LLVM NVCC Intel Compilers

Profiling & Debugging

NVIDIA Nsight GDB Sanitizers gprofng Valgrind

HPC Infrastructure

Linux Slurm Docker Singularity Git

Additional Technologies

Cloud & Development

Google Cloud Microsoft Azure Rust FastAPI

Data & Storage

PostgreSQL SQL Pandas NumPy

Pinned Loading

  1. cuPQC_benchmark cuPQC_benchmark Public

    Automated scripts for benchmarking Post-Quantum Cryptography (PQC) algorithms, including Key Encapsulation Mechanisms (KEMs) and Digital Signature Algorithms (DSAs), using the cuPQC library. Suppor…

    Cuda 2

  2. fletcher_petrobras fletcher_petrobras Public

    High-performance 3D wave propagation simulation using C, CUDA (multi-GPU), OpenMP, and OpenACC. Features 8th-order derivatives, efficient memory management, and output visualization.

    C 2 2

  3. wakeUP_Computer wakeUP_Computer Public

    This project was undertaken as a criterion for evaluation in the subject of Operating Systems 2 at UFRGS. The objective of the work is to implement a "sleep management" service for workstations tha…

    C 3 1

  4. liboqs_PQC_benchmark liboqs_PQC_benchmark Public

    liboqs-Benchmark is an automated benchmarking tool for post-quantum KEM and signature schemes using liboqs, running reproducible performance tests and exporting results for analysis.

    Python

  5. fundamentus-data-API fundamentus-data-API Public

    Local FastAPI API for Fundamentus fundamentals, market indicators and dividends.

    Python

  6. compute-stencil-visual-representation-generator compute-stencil-visual-representation-generator Public

    A small utility to generate a publication-ready 3D visualization of a star-shaped N-point stencil on a voxel grid.

    Python 1