Assertion Supported AI assessment confidence: 98% certainty 4/5 debate potential 1/5

Mars: Compute-intensive ML algorithms drive 92% of Sirius execution workload

Jason Mars · Jason Mars · Jul 28, 2017 · at 11:23

Jason Mars, computer science professor and creator of Sirius, presents profiling research on computational bottlenecks in intelligent personal assistant infrastructure.

0:00 / 0:07exact quote · 7.8s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“And so across the entire workload, 92% of the execution of series could be described by these compute-intensive algorithms.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Jason Mars

Assertion Not checkable as stated
Mars: AI assistant infrastructures are monopolized by major tech companies
“These kinds of infrastructures are monopolized essentially by companies like Apple, Google, Microsoft, and so forth.”
Jason Mars Jul 28, 2017 ▶ 3:14 Jason Mars
What-if
Mars: Converting search to AI assistants requires 100x data center scaling
“If you moved all of the queries that were search queries and turn them into intelligent personal assistant queries, we would have to grow our data centers by two orders of magnitude.”
Jason Mars Jul 28, 2017 ▶ 10:19 Jason Mars
Disclosure
Mars: Apple requested Sirius AI project rename, resulting in Lucida
“After Sirius gained a good bit of traction, Apple reached out to us and said, you probably should change the name. And so we're now calling it Lucida.”
Jason Mars Jul 28, 2017 ▶ 7:41 Jason Mars
Assertion Supported
Mars: Porting Sirius to GPUs and FPGAs yields 10x speedup
“We can get significant speedups when we port these algorithms To GPU, when we leverage GPUs and FPGAs to build future servers, and what that means is we can bring that scalability gap down, and so we can get about 10 X back if we move by taking these, ah, by t…”
Jason Mars Jul 28, 2017 ▶ 11:57 Jason Mars
Assertion Supported
Mars: Tech giants are building future data centers around deep learning
“Deep learning is absolutely the bet that companies are making, right? So Google has put a lot of resources into deep learning you know, Facebook. We're designing future data centers and future infrastructures around this one technique, and it's primarily becau…”
Jason Mars Jul 28, 2017 ▶ 13:15 Jason Mars
Assertion Supported
Mars: Clarity Lab's custom GPU appliance outperforms off-the-shelf deep learning tools
“Jin is a deep learning engine. It's an appliance. We co-designed a GPU box with a software stack for deep learning and it can, it beats the pants off of out-of-the-box stuff. That you can find.”
Jason Mars Jul 28, 2017 ▶ 15:13 Jason Mars
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.