Gonzalo Brito

Gonzalo Brito is a GPU architect at NVIDIA, focusing on the Memory Consistency and Programming Model. He is also an ISO C++ committee member, contributing to the Concurrency and Parallelism Study Group. With a background in HPC performance modeling and optimization, he is passionate about simplifying heterogeneous programming models and teaching parallel programming. Before joining NVIDIA, he researched HPC methods for multi-physics problems in particle-laden flows at the Institute of Aerodynamics of RWTH Aachen.
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Posts by Gonzalo Brito

Simulation / Modeling / Design

Simplifying GPU Application Development with Heterogeneous Memory Management

Heterogeneous Memory Management (HMM) is a CUDA memory management feature that extends the simplicity and productivity of the CUDA Unified Memory programming... 16 MIN READ
Simulation / Modeling / Design

NVIDIA Grace Hopper Superchip Architecture In-Depth

The NVIDIA Grace Hopper Superchip Architecture is the first true heterogeneous accelerated platform for high-performance computing (HPC) and AI workloads. It... 17 MIN READ
Four panels vertically laid out each showing a simulation with a black background
Simulation / Modeling / Design

Multi-GPU Programming with Standard Parallel C++, Part 2

It may seem natural to expect that the performance of your CPU-to-GPU port will range below that of a dedicated HPC code. After all, you are limited by the... 13 MIN READ
Four panels vertically laid out each showing a simulation with a black background
Simulation / Modeling / Design

Multi-GPU Programming with Standard Parallel C++, Part 1

The difficulty of porting an application to GPUs varies from one case to another. In the best-case scenario, you can accelerate critical code sections by... 17 MIN READ
Simulation / Modeling / Design

NVIDIA Hopper Architecture In-Depth

Today during the 2022 NVIDIA GTC Keynote address, NVIDIA CEO Jensen Huang introduced the new NVIDIA H100 Tensor Core GPU based on the new NVIDIA Hopper GPU... 36 MIN READ