In this episode, the Radio Free HPC team splits on the topic of Net Neutrality. The FCC will soon publish its new rules for ensuring an even playing field for Internet Bandwidth. “Dan doesn’t like the idea one bit. Henry disagrees and thinks we need Net Neutrality to keep the Comcasts of the world from running amok. As for Rich, he just finds the whole argument rather amusing since it’s pretty much a done deal.”
“Written by one of the foremost experts in high-performance computing and the inventor of Gustafson’s Law, The End of Error: Unum Computing explains a new approach to computer arithmetic: the universal number (unum). The unum encompasses all IEEE floating-point formats as well as fixed-point and exact integer arithmetic. This new number type obtains more accurate answers than floating-point arithmetic yet uses fewer bits in many cases, saving memory, bandwidth, energy, and power.”
“Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. At the 2015 GPU Technology Conference, you can join the experts who are making groundbreaking improvements in a variety of deep learning applications, including image classification, video analytics, speech recognition, and natural language processing.”
“Does your archive strategy match up with today’s storage economics? Henry contends that this is really worth a look as the notion that “write once to tape and forget” is a recipe for disaster. In an era where this WGBH archive could easily fit on 38 hard drives, does migration to tape still make sense?”
In this episode, the Radio Free HPC team digs into the Grab Bag for Topics of the Week. Dan attended the Lenovo Analyst Conference, and they have him convinced that the company is Going Big on HPC. Rich notes that D-Wave Systems has just landed an additional $29 Million in financing. Is Quantum Computing ready for Prime Time? Finally, Henry is looking forward to seeing what the President’s science priorities are going to be when his budget comes out this week.
“In my humble opinion, I think that debuggers and profiling tools are far too infrequently used. And it’s not because they’re not there. It’s because people just either don’t know about them, don’t do training on them, or don’t know how to use them. We’re in a state where we have less cycles than we’ve ever had per request, right? So being able to take full advantage of those cycles by having optimized code and optimized run patterns is crucial. Otherwise, you’re just not going to be able to get your work done and the science won’t get done.”