Oliver Sampson<p>The decade also brought the large-scale adoption of <a href="https://sigmoid.social/tags/GPU" class="mention hashtag" rel="tag">#<span>GPU</span></a>|s for the <a href="https://sigmoid.social/tags/ParallelProcessing" class="mention hashtag" rel="tag">#<span>ParallelProcessing</span></a> of that ocean of data, especially with the <a href="https://sigmoid.social/tags/CUDA" class="mention hashtag" rel="tag">#<span>CUDA</span></a> library and a slightly different <a href="https://sigmoid.social/tags/programming" class="mention hashtag" rel="tag">#<span>programming</span></a> <a href="https://sigmoid.social/tags/paradigm" class="mention hashtag" rel="tag">#<span>paradigm</span></a> called <a href="https://sigmoid.social/tags/DataParallel" class="mention hashtag" rel="tag">#<span>DataParallel</span></a> programming. This really was a game changer for data-intensive data <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="tag">#<span>MachineLearning</span></a> activities like <a href="https://sigmoid.social/tags/DeepLearning" class="mention hashtag" rel="tag">#<span>DeepLearning</span></a> and started the <a href="https://sigmoid.social/tags/AIBoom" class="mention hashtag" rel="tag">#<span>AIBoom</span></a> we&#39;re seeing today. 7/16</p>