Adam Thompson

Adam Thompson is a senior technical product manager for Edge HPC applications and the creator of cuSignal, a GPU-accelerated library for building signal processing workflows. Adam’s technical interests involve signal processing, HPC with Python, and applications of deep learning to RF data. He holds a master’s degree in electrical and computer engineering from Georgia Tech and a bachelor’s from Clemson.
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Posts by Adam Thompson

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Edge Computing

Developing Streaming Sensor Applications with HoloHub from NVIDIA Holoscan

The average car contains over 100 sensors to both monitor and respond to vital information. Ranging from an overheating engine to low tire pressure and erratic... 9 MIN READ
Simulation / Modeling / Design

Facing the Edge Data Challenge with HPC + AI

This post was updated April 2023. Scientific instruments are being upgraded to deliver 10–100x more sensitivity and resolution over the next decade, requiring... 9 MIN READ
Simulation / Modeling / Design

Speeding up Numerical Computing in C++ with a Python-like Syntax in NVIDIA MatX

Rob Smallshire once said, "You can write faster code in C++, but write code faster in Python." Since its release more than a decade ago, CUDA has given C and... 6 MIN READ
Data Science

Accelerated Signal Processing with cuSignal

Why signal processing?  Signal processing is all around us. Broadly defined as the manipulation of signals — or mechanisms of transmitting information... 9 MIN READ
Simulation / Modeling / Design

GPU-Accelerated Speech to Text with Kaldi: A Tutorial on Getting Started

Sign up for the latest Speech AI news from NVIDIA. Recently, NVIDIA achieved GPU-accelerated speech-to-text inference with exciting performance results. That... 12 MIN READ
Data Science

GPUDirect Storage: A Direct Path Between Storage and GPU Memory

As AI and HPC datasets continue to increase in size, the time spent loading data for a given application begins to place a strain on the total application’s... 17 MIN READ