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

Technical Walkthrough 1

Facing the Edge Data Challenge with HPC + AI

Scientific instruments are being upgraded to deliver 10–100x more sensitivity and resolution over the next decade, requiring a corresponding scale-up for... 9 MIN READ
Technical Walkthrough 2

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
Technical Walkthrough 2

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
Technical Walkthrough 1

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
Technical Walkthrough 2

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
Technical Walkthrough 1

NVIDIA Accelerates Real Time Speech to Text Transcription 3500x with Kaldi

Think of a sentence and repeat it aloud three times. If someone recorded this speech and performed a point-by-point comparison, they would find that no single... 8 MIN READ