Michael.Walker's blog

Tesla V100 Accelerator Info Released for Volta GV100 GPU

Today data scientists are using new techniques with machine learning to solve complex challenges. In applied data science speed kills and the Tesla V100 accelerator is built for speed. Data scientists always make trade-offs between accuracy and time. Thus, more powerful compute systems are required to crunch and analyze diverse data sets, and train exponentially more complex deep learning models in a practical amount of time.

MapD GPU Database Open Sourced

MapD Core is an in-memory, column store, SQL relational database designed to run on GPUs (also runs on CPUs). It is now available free - licensed under the Apache License, Version 2.0.

Within a single server, MapD can handle datasets 1.5-3TB in raw size in GPU RAM, or 10-15TB in CPU RAM. In distributed deployments, that number scales linearly.

Radeon Hyperscale-class GPU Computing

The Radeon Open Compute Platform (ROCm) is an open source platform for GPU computing that is language independent and brings modular software development to GPU computing. This provides a real cheaper alternative to Nvidia's CUDA and helps developers in coding compute-oriented software for AMD Radeon GPUs along with converting existing CUDA software to run on GCN hardware.

Hillary Clinton's Flawed Algorithm Pissed Off the Data Science Gods

Hillary Clinton's campaign designed an algorithm named Ada to help make strategic decisions like where to place television ads to obtain the most electoral votes for the buck, where and when to deploy Clinton and others in person for optimal influence, and when it was safe to disappear and let the media focus on her opponent, Donald Trump.