Jeff Pool

Jeff Pool is a senior architect in the Deep Learning architecture team investigating efficient DL methods. He’s contributed to many areas of various architectures after joining NVIDIA in 2012, but he’s most recently been playing with sparse neural networks. Jeff holds a PhD in computer science with a focus on efficient graphics hardware.
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Posts by Jeff Pool

Computer Vision / Video Analytics

Accelerating Inference with Sparsity Using the NVIDIA Ampere Architecture and NVIDIA TensorRT

This post was updated July 20, 2021 to reflect NVIDIA TensorRT 8.0 updates. When deploying a neural network, it's useful to think about how the network could be... 8 MIN READ
Decorative image of Tensor Cores.
Simulation / Modeling / Design

Exploiting NVIDIA Ampere Structured Sparsity with cuSPARSELt

Deep neural networks achieve outstanding performance in a variety of fields, such as computer vision, speech recognition, and natural language processing. The... 9 MIN READ