Andy Adinets

Andy Adinets has been involved with GPU programming since 2005 and has been working at Nvidia as an AI Developer Technology Engineer for nearly 4 years, since the end of July 2017. He is currently working on a number of projects, including Forest Inference Library (FIL) and GPU sorting. He also likes working on optimization of various GPU algorithms when the opportunity arises.
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Posts by Andy Adinets

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Data Science

Sparse Forests with FIL

Introduction The RAPIDS Forest Inference Library, affectionately known as FIL, dramatically accelerates inference (prediction) for tree-based models, including... 6 MIN READ
GPU Pro Tip
Simulation / Modeling / Design

CUDA Pro Tip: Optimized Filtering with Warp-Aggregated Atomics

Note: This post has been updated (November 2017) for CUDA 9 and the latest GPUs. The NVCC compiler now performs warp aggregation for atomics automatically in... 14 MIN READ
Simulation / Modeling / Design

A CUDA Dynamic Parallelism Case Study: PANDA

This post concludes an introductory series on CUDA dynamic parallelism. In this post, I finish the series with a case study on anĀ online track reconstruction... 11 MIN READ
Simulation / Modeling / Design

CUDA Dynamic Parallelism API and Principles

This post is the second in a series on CUDA Dynamic Parallelism. In my first post, I introduced Dynamic Parallelism by using it to compute images of the... 13 MIN READ
Simulation / Modeling / Design

Adaptive Parallel Computation with CUDA Dynamic Parallelism

Early CUDA programs had to conform to a flat, bulk parallel programming model. Programs had to perform a sequence of kernel launches, and for best performance... 13 MIN READ