Graham Lopez

Graham Lopez leads product management for high-performance computing compilers at NVIDIA. Previously, he worked with applications to run at scale on current and upcoming leadership-class computing facilities. In addition to his direct engagement with HPC applications, Graham has published research in the areas of programming models, computational science, application acceleration and benchmarking on heterogeneous systems, and low-level communication APIs. Graham has been a member of the ISO C++ Standards Committee for the past three years.
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Posts by Graham Lopez

Illustration representing HPC.
Data Center / Cloud

Building High-Performance Applications in the Era of Accelerated Computing

AI is augmenting high-performance computing (HPC) with novel approaches to data processing, simulation, and modeling. Because of the computational requirements... 6 MIN READ
An illustration representing HPC applications.
Simulation / Modeling / Design

Unlock the Power of NVIDIA Grace and NVIDIA Hopper Architectures with Foundational HPC Software

High-performance computing (HPC) powers applications in simulation and modeling, healthcare and life sciences, industry and engineering, and more. In the modern... 7 MIN READ
Simulation / Modeling / Design

Simplifying GPU Programming for HPC with NVIDIA Grace Hopper Superchip

The new hardware developments in NVIDIA Grace Hopper Superchip systems enable some dramatic changes to the way developers approach GPU programming. Most... 17 MIN READ
Simulation / Modeling / Design

Accelerating NVIDIA HPC Software with SVE on AWS Graviton3

The latest NVIDIA HPC SDK update expands portability and now supports the Arm-based AWS Graviton3 processor. In this post, you learn how to enable Scalable... 6 MIN READ
Simulation / Modeling / Design

Accelerating Fortran DO CONCURRENT with GPUs and the NVIDIA HPC SDK

Fortran developers have long been able to accelerate their programs using CUDA Fortran or OpenACC. For more up-to-date information, please read Using Fortran... 13 MIN READ
Standard Parallellism in C++
Simulation / Modeling / Design

Accelerating Standard C++ with GPUs Using stdpar

Historically, accelerating your C++ code with GPUs has not been possible in Standard C++ without using language extensions or additional libraries: CUDA C++... 19 MIN READ