qrios

13 ms·

121.
by qrios 3y ago
Don't now if NVIDIA is keen to understand their hardware, but they are obviously very interested in users understanding their hardware. I originally started i86 assembler and stopped after the i860, which as far as I remember was the f
122.
by qrios 3y ago
According to this article [1] it looks like there is no complex preparation needs to run the inference on a Jetson system. Should work with Mixtral too. [1] https://www.hackster.io/pjdecarlo/llama-2-llms-w-nvidia-jets..
123.
by qrios 3y ago
Possible fears about compromising the host system are of course justified. But such fears are appropriate for all DMA-capable devices, for example. FPGAs are general purpose in a broader sense than CPUs or (GP)GPUs. And, no other general pu
124.
by qrios 3y ago
Good point! For me the beginner's mistake is: on a CPU any 'if' will cost you a clock cycle (branch prediction not considered), on a GPU it costs you the sync. In best case the syncs will come back over many loops, more often
125.
by qrios 3y ago
For sure another case for the "you doing it wrong" team at Nvidia. But the decision to add Julia/CUDA.jl here was not the best idea on a comparison with really interesting insights about Fortran vs. Julia. The CUDA part of th
126.
by qrios 3y ago
I was referencing DX/VK/GL and C++. What I can see on the lowest compute level, ML libs often are using pure CUDA in C or even PTX and are used especially if the code is generated by let's say via Python.
127.
by qrios 3y ago
You’re right. The hard part is to manage processing of your data as close to the metal as possible to optimize memory, data flow, and computation. Coming from FPGA (both Verilog and VHDL), to me CUDA offers the best way to handle all three
128.
by qrios 3y ago
This flight used not to go over iranian airspace. https://www.flightradar24.com/QTR70N/323df5e6
129.
by qrios 3y ago
The best implementation in the article shows an improvement by factor 89. Which is surprisingly low if we assume the processor (Xeon Platinum 8481C) runs with 112 threads in parallel. The final 35k speedup is probably not in question as Moj
130.
Foxconn Founder Stirs Up Taiwan Presidential Race by Declaring Bid (Again)(wsj.com)
4 points by qrios 3y ago|1 comments
131.
by qrios 3y ago
> The Fortune 100 have a use case for these companies, the rest are overpaying. There is a difference between "a use case for $data_platform" and "a data use case for $data_platform". Scope on the first one is the pla
132.
by qrios 3y ago
The article itself is from 2010.
133.
by qrios 3y ago
Without questioning the statement '70% as good as GPT3.5', but wouldn't that be quantifying a quality, and a Turing test? Also: maybe these missing 30% are the hard part.
134.
by qrios 3y ago
The implementation will be really interesting: can a VM, container, or RDP be compliant ever with WEI? To proof - or give at least a solid certainty, a runtime is direct connected to a GUI, and function calls triggered by this GUI are comin
135.
by qrios 3y ago
The link does not work. Correct one: https://www.hackster.io/gvuksic/nvidia-jetson-orin-nano-powe... BTW: Cool project!
136.
by qrios 4y ago
The animation examples have an significant impact on CPU and GPU usage. On a i7 CPU the overall utilization is going 10%+ and both GPUs are used 30% more. Different browsers have a different footprint. But at least the plus only happens if
137.
OpenAI ChatGPT Is Now an AWS Certified Cloud(twitter.com)
2 points by qrios 4y ago|0 comments
138.
Wilson's 1-Dimensional Gun(mathstodon.xyz)
2 points by qrios 4y ago|0 comments
139.
by qrios 4y ago
Julia's extensive use including relevant comments is noteworthy. In particular, the use of the mathematical notation of the variables facilitates the understanding of the formulas. At the same time it helps to learn Julia.
140.
by qrios 5y ago
> How often does one even migrate DB’s? We (an insurance company in Europe) have around 200 DBs and half of them have been running for over 15 years. We need to migrate at least these to modern systems in the next 5 years. These new syst
141.
US needs Japan and Korea to counter China tech: ex-Google CEO(asia.nikkei.com)
1 points by qrios 5y ago|0 comments
142.
Do we overlook “reverse” or “hidden” gravitational lenses?(medium.com)
1 points by qrios 10y ago|0 comments
143.
PonyLink: A single-wire bi-directional chip-to-chip interface for FPGAs(github.com)
4 points by qrios 10y ago|0 comments
144.
Tree Proof Generator(umsu.de)
1 points by qrios 13y ago|0 comments