vient

7 ms·

31.
by vient 1y ago
Oh, I see - hard refresh consistently shows HTTP/2 but after one or two soft refreshes it becomes HTTP/3 for me until next hard refresh. Edit: it is always second soft refresh for me that starts showing HTTP/3. Computers work
32.
by vient 1y ago
Limited to macOS? Does not reproduce in FF 141 and 142 on Windows.
33.
by vient 1y ago
AMX is indeed a very strong feature for AI. I've compared Ryzen 9950X with w7-2495X using single-thread inference of some fp32/bf16 neural networks, and while Zen 5 is clearly better than Zen 4, Xeon is still a lot faster even con
34.
by vient 1y ago
True, but that has nothing to do with tagged pointers.
35.
by vient 1y ago
Memory page size should be transparent for tagged pointers (any pointers, really), I don't see how they can be affected. You have an object at address 0xAB0BA, does the size of underlying page matter?
36.
by vient 1y ago
Would also be nice to remove empty categories from tree view. For example, right now you can uncheck VSX and still see "Memory Operations - VSX Unaligned ..." full of empty tags.
37.
Relwarc: Mining HTTP endpoints from client-side JavaScript with static analysis(blog.secsem.ru)
4 points by vient 1y ago|0 comments
38.
Where do e-readers go from here?(goodereader.com)
1 points by vient 1y ago|1 comments
39.
by vient 1y ago
But what's the point in acknowledging numerical issues outside of [-1,1] if polynomials do not even work there, as author explicitly notes?
40.
by vient 1y ago
> Kalimba, VE > No idea what this is, and Google won’t help me. Seems that Kalimba is a DSP, originally by CSR and now by Qualcomm. CSR8640 is using it, for example https://www.qualcomm.com/products/internet-of-th
41.
by vient 2y ago
They have some NVIDIA support in the form of external project: https://github.com/openvinotoolkit/openvino_contrib/tree/mas...
42.
by vient 2y ago
For me fails on identical setup with GET https://gnikoloff.github.io/webgpu-sponza-demo/assets/Sponza.bin net::ERR_CONNECTION_CLOSED 206 (Partial Content)
43.
by vient 2y ago
LLVM_USE_SPLIT_DWARF may help with this, some recent measurements: https://www.tweag.io/blog/2023-11-23-debug-fission/#an-examp...
44.
by vient 2y ago
Sounds right for a panic co-founder.
45.
by vient 2y ago
It is a featureful formatting library, not simply a library for slow printing of ints and strings without any modifiers. You can't create a library which is full of features, fast, and small simultaneously.
46.
by vient 2y ago
Wow, changing `count` type from uint64_t to uint32_t or int radically changes results - now gcc gets 26500 and clang gets 25000, that's just 1.7 times slower than current best solution. So you can get 25k with following code, clang -Of
47.
by vient 2y ago
Nice. Did some quick tests with your code on site, got score of ~34000 - best solution is around 14700, so this one is only 2.3 times slower. Used clang with -Ofast -march=native -static. Funnily, gcc gets only 54000 with the same options,
48.
by vient 2y ago
Note that "standard C++" solution uses std::cin while optimized one uses mmap - completely different things, a lot of speed comes just from that. Would've been nice to compare with solution having optimized input and otherwis
49.
by vient 2y ago
> I've been wanting a language with that feature Python, which realization CPython is mentioned in the article, has arbitrary precision integers.
50.
by vient 2y ago
I like speedscope.app for viewing flamegraphs. It is more interactive than traditional SVG flamegraphs, and what is relevant here is a "sandwich" view - basically a sorted list of all functions, you see what function was spent the
51.
by vient 2y ago
And, as expected, the very first reference in the post is to the Tom7's video. Of course it would be.
52.
by vient 2y ago
There is a QEMU fork used by Nyx fuzzer, may be interesting to you https://github.com/nyx-fuzz/QEMU-Nyx Basically, for the fuzzing purposes speed is paramount so they made some changes to speed up snapshot restoring. D
53.
by vient 2y ago
> don't randomly hit up bloggers Not sure if satire or you just don't know who lcamtuf is.
54.
by vient 2y ago
Looking at OpenVINO repo activity, seems that most of them got relocated and still work at Intel.
55.
by vient 2y ago
It worked only on first batches/microcode versions of hybrid CPUs, since then Intel had completely disabled AVX-512 on them.
56.
by vient 2y ago
Not the best time for testing OpenVINO at least, they plan to release NPU support in 2024.1 as I understand, current version 2024.0 has very limited NPU support if any.
57.
by vient 2y ago
Also sched-ext which seems close to be mainlined and is already a default scheduler in CachyOS: https://github.com/sched-ext/scx
58.
by vient 3y ago
Huh, seems you are right. I've read about "not really real" AVX-512 implementation in Zen 4, and also saw that on my workload turning on AVX-512 on Zen 4 indeed gives almost nothing (compared to x2 speedup on Intel). But now
59.
by vient 3y ago
Not clear how AVX-512 can provide 2x speedup on Zen 4, even more 10x (if they are comparing with AVX2 which is obvious assumption). Zen 4 does not really have proper AVX-512 units, and 10x means that there was no vectorization at all before
60.
by vient 3y ago
Huh, for me as a malware analyst previously and a reverse engineer in general, decompilation is the most important part of such tools. It's all about speed, pseudo-C of some kind lets you roughly understand what's going on in a fu

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