Archive of posts tagged: Benchmarks
An Academic’s Attempt to Clear the Fog of the Machine Learning Accelerator War
At its core, all engineering is science optimized (or perverted) by economics. As academics in computer science and engineering, we have a symbiotic relationship with industry. Still, it is often necessary for us to peel back the marketing noise and understand...
From Heavy Metal to Irrational Exuberance
The focus of most published research in architecture is on applications implemented in high-performance, “close-to-the-metal” languages essentially developed before computers got fast. These, let’s call them metal languages, include FORTRAN...
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...Subscribe
