Archive of posts tagged: Benchmarks
Deep Learning: It’s Not All About Recognizing Cats and Dogs
We live in the era of machine learning. As Geoff Hinton and Yann LeCun emphasized in their recent Turing lecture, the rise of machine learning (ML) was in great part facilitated by cheap and easy to use high-performance computing that has allowed ML models to be...
Embench™: Recruiting for the Long Overdue and Deserved Demise of Dhrystone as a Benchmark for Embedded Computing
I. Why a New Embedded Benchmark The world will soon be deluged by tens of billions or even hundreds of billions of Internet of Things (IoT) devices, but we still don’t have a high quality, widely reported benchmark to fairly evaluate the embedded computers that power...
Streaming Video for The Computer Architect
Today streaming video accounts for over 70% of evening web traffic in the US. YouTube upload rates outpace not only CPU performance, but Moore’s Law itself, and reached 400 hours of video per minute in July 2015. In addition to sheer hours per minute, the videos...
Why Machine Learning Needs Benchmarks
It’s a marvelous time in computer systems. For me, working in Deep Learning feels like living through a scientific revolution. Kuhn described this kind of change in his classic book, where a new paradigm takes hold, causing entire fields to change their standard...Subscribe
