If you read into the paper (https://dl.acm.org/doi/10.1145/3575693.3575702), one can find more performance comparisons.
There, from a latency/throughput PoV they are en par with existing tools like TVM/Ansor. Sometimes faster, sometimes slower.
What is more interesting is this: They have very GPU-specific auto-tuning routine that drastically reduces the optimzation space, compared to TVM/Ansor. They go from ~10^6 possible implementations for an operator to a "few hundred", which enabled much faster time-to-solution. This is achieved with a GPU-centric problem formulation and search space. In essence, they trade how widely applicable their approach is (from "any" kind of hardware to only GPU-style architectures) for retrieval speed.
Im currently working on a project, involving a language I‘m not familiar with.
It is super simple to paste a function or section of code, have the functionality explained to me and iterate on any open questions.
Last year, a Buell XB12R Firebolt. An exotic, American sport bike with a radical design and engineering philosophy. I knew they existed, but never paid much attention. Then a distant friend sold his bike. I took a test ride, just for the fun of it, because they are quite rare.
On the ride home I already had made the downpayment with the intent to pick up the bike the next day. One the best decisions I ever made!
This reminds me of a movie, the name of which I can’t remember.
> A family father gets premonitions about a massive storm that will come, which triggers him building a bunker in his back yard. It is a family drama on how his obsession with protecting his family slowly tears it apart. In the end they convince the father to go on vacation for a few days, just to get away from the obsession. As they arrive in their vacation home, a huge, black storm cloud rolls in on the horizon
yet it is used to gatekeep positions. Contributions to science can be made without bundling them in a thesis, while being delivered to the whims of your supervisor.
The question is, do we really need a PhD reform? Or should we restructure the academic process to enable more people to pariticipate without going through the ardous process of writing a thesis? I have a PhD and work in an industrial research environment, with 50/50 PhD and non-PhD colleagues. There is no difference in quality of work and output. So maybe universities should be less discriminatory against non-PhD research fellows.
Because there is an inevitable translation step between "customer wants X" and "engineers have to build Y to achieve X". This takes time and is a non-trivial task. I'm an engineer myself and I'm glad there are people between me and the customers. They're there to shield engineers from unnecessary tasks and scope creep. They are the necessary abstraction layer between engineering and business.
> The Bailey Ball was an Alpine Center attraction developed and tested, but never opened to the public, as a result of those tests. It consisted of a large foam sphere in which a rider could be secured, and then rolled downward. The plan was to do it on a track with PVC pipe as its outer rails, and one was built alongside a ski trail.[11]: 16:25
> The designers neglected to take into account the tendency of PVC pipe to expand in heat. During the first test, with a state inspector present on a hot summer day, the ball, with a man inside testing it, went off the track as a result of the pipe expanding and bounded down the adjacent ski slope. It continued through the parking lot, across Route 94, and came to rest in a swamp. After it came to a natural stop at the bottom, the inspector left without saying anything and park management abandoned the project.[11]: 16:25 [43]
The Filmanalysis[0] - originally a German podcast, now also publishes episodes in english. While superficially a movie critic, the host Wolfgang M. Schmitt digs deep on the ideology side. He analyses the world view proposed by the creators of a piece, referencing works from sociology, psychology and philosophy.
I Think esp. fuelling stations along high-ways will improve their charging infrastructure. A lot of their revenue is non-food stuff like coffee and snacks. And longer wait times during charging could lead to more revenue there.
The wife and I started collecting cups and mugs whenever we travel. No touristy I<3 NYC, but if we run into a nice mug, we take it back home. Whenever you grab a coffee or tea, a little memory is there with it.
The general method presented here is Constraint Programming (CP), a sibling of SAT and ILP. In CP, you can formulate constraints over variables. Search is then performed branch-n-bound style. A variable is assigned, then constraints check if the assignment is legal and remove non-solutions from the other variable's domains.
If anyone is interested: An accessible python module for this is python-constraint. Gecode is a powerful, modern C++ CP Framework.
Maybe I falls out of line here, but I met the love of my live in 11th grade. We got married this September, at our 12th anniversary.
There is no secret, just the will to commit to the relationship, mutual support and talking about issues when they arise.
I want to second this this method. It also works great in a research setting. There, the cool down also allows reflection on the past few week to update expectations and goals for next cycle. While not following this method strictly, I've been cycling through my work like this for past 12 months.