Adam Thompson

Adam Thompson is a Senior Solutions Architect at NVIDIA. With a background in signal processing, he has spent his career participating in and leading programs focused on deep learning for radio frequency classification, data compression, high performance computing, statistical signal processing, and managing and designing applications targeting big data frameworks. He holds a M.S. in Electrical & Computer Engineering from Georgia Tech and a Bachelors from Clemson University.

Posts by Adam Thompson

Technical Walkthrough 1

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

MatX is an experimental library that allows you to write high-performance GPU code in C++, with high-level syntax and a common data type across all functions. 6 MIN READ
Technical Walkthrough 0

Accelerated Signal Processing with cuSignal

Signal processing is all around us. Broadly defined as the manipulation of signals — or mechanisms of transmitting information from one place to another — the… 9 MIN READ
Technical Walkthrough 0

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

Recently, NVIDIA achieved GPU-accelerated speech-to-text inference with exciting performance results. That blog post described the general process of the Kaldi… 12 MIN READ
Technical Walkthrough 1

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

NVIDIA tested chieved speech-to-text inferencingachieving speech-to-text inferencing 3,524x faster than real-time processing using an NVIDIA Tesla V100. 8 MIN READ