ohhhh they have image vectorization built in now...
October 30, 2025 at 7:42 PM
ohhhh they have image vectorization built in now...
Performance Improvements in JDK 25
TLDR; always upgrade, free performance and auto vectorization
TLDR; always upgrade, free performance and auto vectorization
Performance Improvements in JDK 25
Java is constantly evolving with ever increasing performance. JDK 25 comes with significant performance improvements compared to previous versions including scoped values, improved GCs, lots of…
inside.java
October 27, 2025 at 1:56 PM
Performance Improvements in JDK 25
TLDR; always upgrade, free performance and auto vectorization
TLDR; always upgrade, free performance and auto vectorization
kingdom hearts 1 got a pretty damn good pc port but the ui assets are still kinda stuck in the 720p era, so i gave it a go at fixing up just the hp/mp bar (and fixing a few of its faults) and after 2 days of careful vectorization, color/gradient matching, etc i think it's done!
October 24, 2025 at 12:56 PM
kingdom hearts 1 got a pretty damn good pc port but the ui assets are still kinda stuck in the 720p era, so i gave it a go at fixing up just the hp/mp bar (and fixing a few of its faults) and after 2 days of careful vectorization, color/gradient matching, etc i think it's done!
Why? I guess they feel powerful. Sadly, many LLMs generate imperative R code (not leveraging vectorization) as if they were trying to write Python for Kaggle competitions.
October 5, 2025 at 1:36 PM
Why? I guess they feel powerful. Sadly, many LLMs generate imperative R code (not leveraging vectorization) as if they were trying to write Python for Kaggle competitions.
Finally figured out, no help of Microsoft, how to wire up Cohere 4 into Azure AI Search
We're not using LLMs for this! We're using Cohere for vectorization and then semantic matching against documents. Back In The Day, the analogous technique was latent semantic indexing
We're not using LLMs for this! We're using Cohere for vectorization and then semantic matching against documents. Back In The Day, the analogous technique was latent semantic indexing
September 26, 2025 at 8:03 PM
Finally figured out, no help of Microsoft, how to wire up Cohere 4 into Azure AI Search
We're not using LLMs for this! We're using Cohere for vectorization and then semantic matching against documents. Back In The Day, the analogous technique was latent semantic indexing
We're not using LLMs for this! We're using Cohere for vectorization and then semantic matching against documents. Back In The Day, the analogous technique was latent semantic indexing
@rauchg https://x.com/rauchg/status/1861819794590155049 #x-rauchg 🎥
AI vectorization works so freaking well
left: low quality jpg (input)
right: high quality svg (output)
AI vectorization works so freaking well
left: low quality jpg (input)
right: high quality svg (output)
November 27, 2024 at 5:30 PM
@rauchg https://x.com/rauchg/status/1861819794590155049 #x-rauchg 🎥
AI vectorization works so freaking well
left: low quality jpg (input)
right: high quality svg (output)
AI vectorization works so freaking well
left: low quality jpg (input)
right: high quality svg (output)
2010s best, lmao
as many cores as a ~$250 modern day sku with like, half the single core performance, a fraction of the memory bandwidth and cache, and BLAZING fast SSSE3 vectorization
www.intel.com/content/www/...
as many cores as a ~$250 modern day sku with like, half the single core performance, a fraction of the memory bandwidth and cache, and BLAZING fast SSSE3 vectorization
www.intel.com/content/www/...
Intel® Core™ i7-980X Processor Extreme Edition (12M Cache, 3.33 GHz, 6.40 GT/s Intel® QPI) - Product Specifications | Intel
Intel® Core™ i7-980X Processor Extreme Edition (12M Cache, 3.33 GHz, 6.40 GT/s Intel® QPI) quick reference with specifications, features, and technologies.
www.intel.com
November 28, 2024 at 5:41 PM
2010s best, lmao
as many cores as a ~$250 modern day sku with like, half the single core performance, a fraction of the memory bandwidth and cache, and BLAZING fast SSSE3 vectorization
www.intel.com/content/www/...
as many cores as a ~$250 modern day sku with like, half the single core performance, a fraction of the memory bandwidth and cache, and BLAZING fast SSSE3 vectorization
www.intel.com/content/www/...
Zheng, Cheng, Li, Rocha, Liu, Wei, Zhang, Gao: VecTrans: LLM Transformation Framework for Better Auto-vectorization on High-performance CPU https://arxiv.org/abs/2503.19449 https://arxiv.org/pdf/2503.19449 https://arxiv.org/html/2503.19449
March 26, 2025 at 6:00 AM
Zheng, Cheng, Li, Rocha, Liu, Wei, Zhang, Gao: VecTrans: LLM Transformation Framework for Better Auto-vectorization on High-performance CPU https://arxiv.org/abs/2503.19449 https://arxiv.org/pdf/2503.19449 https://arxiv.org/html/2503.19449
the vectorization opportunities. Experimental results show that among all 50 TSVC functions unvectorizable by Clang, GCC, and BiShengCompiler, VecTrans successfully vectorizes 23 cases (46%) and achieves an average speedup of 2.02x, greatly surpassing [6/7 of https://arxiv.org/abs/2503.19449v1]
March 26, 2025 at 6:00 AM
the vectorization opportunities. Experimental results show that among all 50 TSVC functions unvectorizable by Clang, GCC, and BiShengCompiler, VecTrans successfully vectorizes 23 cases (46%) and achieves an average speedup of 2.02x, greatly surpassing [6/7 of https://arxiv.org/abs/2503.19449v1]
I was researching how #rstats can leverage SIMD vectorization and came across an incredible StackOverflow answer by Zheyuan Li (stackoverflow.com/users/489173...) seemingly covering everything there is to know about such obscure topic: stackoverflow.com/a/37214261
My respect to all SO trailblazers!
My respect to all SO trailblazers!
a little boy wearing a hat that says respect is surrounded by people
ALT: a little boy wearing a hat that says respect is surrounded by people
media.tenor.com
April 1, 2025 at 7:20 AM
I was researching how #rstats can leverage SIMD vectorization and came across an incredible StackOverflow answer by Zheyuan Li (stackoverflow.com/users/489173...) seemingly covering everything there is to know about such obscure topic: stackoverflow.com/a/37214261
My respect to all SO trailblazers!
My respect to all SO trailblazers!
Improving on std:count_if()'s auto-vectorization https://nicula.xyz/2025/03/08/improving-stdcountif-vectorization.html (https://news.ycombinator.com/item?id=43302394)
Improving on std:count_if()'s auto-vectorization
nicula.xyz
March 9, 2025 at 4:39 PM
Improving on std:count_if()'s auto-vectorization https://nicula.xyz/2025/03/08/improving-stdcountif-vectorization.html (https://news.ycombinator.com/item?id=43302394)
Consider adding a e-business vectorization to achieve rockstar working relationships
November 10, 2024 at 12:35 AM
Consider adding a e-business vectorization to achieve rockstar working relationships
Particularly telling:
December 10, 2024 at 10:58 PM
Particularly telling:
🚀Want to write blazingly fast C++?
Then learn to unlock SIMD performance at the AVX Vectorization Workshop with Ivica Bogosavljevic at #CppCon 2025 (Sept 20–21, Aurora, CO)!
🎟️This workshop has limited seats so register now!
#coding #cplusplus #cpp #programming
Then learn to unlock SIMD performance at the AVX Vectorization Workshop with Ivica Bogosavljevic at #CppCon 2025 (Sept 20–21, Aurora, CO)!
🎟️This workshop has limited seats so register now!
#coding #cplusplus #cpp #programming
Workshop: AVX Vectorization Workshop 2025
cppcon.org
August 12, 2025 at 1:11 PM
🚀Want to write blazingly fast C++?
Then learn to unlock SIMD performance at the AVX Vectorization Workshop with Ivica Bogosavljevic at #CppCon 2025 (Sept 20–21, Aurora, CO)!
🎟️This workshop has limited seats so register now!
#coding #cplusplus #cpp #programming
Then learn to unlock SIMD performance at the AVX Vectorization Workshop with Ivica Bogosavljevic at #CppCon 2025 (Sept 20–21, Aurora, CO)!
🎟️This workshop has limited seats so register now!
#coding #cplusplus #cpp #programming
distance between the silhouette boundary and its vectorization obtained by the world-class graphic software Inkscape, Adobe Illustrator, and a curvature-based vectorization method, which we introduce for comparison. Our method also allows us to impose [4/5 of https://arxiv.org/abs/2505.05132v1]
May 9, 2025 at 5:58 AM
distance between the silhouette boundary and its vectorization obtained by the world-class graphic software Inkscape, Adobe Illustrator, and a curvature-based vectorization method, which we introduce for comparison. Our method also allows us to impose [4/5 of https://arxiv.org/abs/2505.05132v1]
@ErikUden as always with anything Homo Sapiens, "its complicated". First, because there is so much digital illiteracy "AI" means a hazy cloud of related things (from anything remotely algorithmic to the specific LLM advances). Next, there is the GPU/vectorization 'revolution', which is the only […]
Original post on mastodon.social
mastodon.social
January 4, 2025 at 7:59 AM
@ErikUden as always with anything Homo Sapiens, "its complicated". First, because there is so much digital illiteracy "AI" means a hazy cloud of related things (from anything remotely algorithmic to the specific LLM advances). Next, there is the GPU/vectorization 'revolution', which is the only […]
More ground-breaking gurus will understand the hidden layers of robust turn-key vectorization in the initial peer2peer social platform dominance
August 12, 2024 at 11:35 AM
More ground-breaking gurus will understand the hidden layers of robust turn-key vectorization in the initial peer2peer social platform dominance
that was not the case, they coded it like last month or something
the problem lies in the algorithm, with Pandas you use vectorization instead of for loops, with significant improvements on performance
the problem lies in the algorithm, with Pandas you use vectorization instead of for loops, with significant improvements on performance
February 28, 2025 at 6:03 PM
that was not the case, they coded it like last month or something
the problem lies in the algorithm, with Pandas you use vectorization instead of for loops, with significant improvements on performance
the problem lies in the algorithm, with Pandas you use vectorization instead of for loops, with significant improvements on performance
Improving on std:count_if()'s auto-vectorization
L: https://nicula.xyz/2025/03/08/improving-stdcountif-vectorization.html
C: https://news.ycombinator.com/item?id=43302394
posted on 2025.03.08 at 13:44:19 (c=0, p=4)
L: https://nicula.xyz/2025/03/08/improving-stdcountif-vectorization.html
C: https://news.ycombinator.com/item?id=43302394
posted on 2025.03.08 at 13:44:19 (c=0, p=4)
March 9, 2025 at 2:33 PM
Improving on std:count_if()'s auto-vectorization
L: https://nicula.xyz/2025/03/08/improving-stdcountif-vectorization.html
C: https://news.ycombinator.com/item?id=43302394
posted on 2025.03.08 at 13:44:19 (c=0, p=4)
L: https://nicula.xyz/2025/03/08/improving-stdcountif-vectorization.html
C: https://news.ycombinator.com/item?id=43302394
posted on 2025.03.08 at 13:44:19 (c=0, p=4)
arXiv:2503.16424v1 Announce Type: new
Abstract: Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high-quality rendering [1/5 of https://arxiv.org/abs/2503.16424v1]
Abstract: Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high-quality rendering [1/5 of https://arxiv.org/abs/2503.16424v1]
March 21, 2025 at 5:57 AM
arXiv:2503.16424v1 Announce Type: new
Abstract: Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high-quality rendering [1/5 of https://arxiv.org/abs/2503.16424v1]
Abstract: Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high-quality rendering [1/5 of https://arxiv.org/abs/2503.16424v1]
I'm not fucking buying this bullshit. Here's the manual. The only reference to AI is here, and I know I didn't use that shit, as I picked the colors myself. Not even sure I used that mode!
www.vectorqueue.com/vqguide.html
www.vectorqueue.com/vqguide.html
January 7, 2025 at 10:28 PM
I'm not fucking buying this bullshit. Here's the manual. The only reference to AI is here, and I know I didn't use that shit, as I picked the colors myself. Not even sure I used that mode!
www.vectorqueue.com/vqguide.html
www.vectorqueue.com/vqguide.html
Efficient Modular Multiplication Using Vector Instructions on Commodity Hardware (Simon Langowski, Srini Devadas) ia.cr/2025/1068
June 9, 2025 at 3:29 AM
Efficient Modular Multiplication Using Vector Instructions on Commodity Hardware (Simon Langowski, Srini Devadas) ia.cr/2025/1068
flexibility. In this paper, we introduce LayerPeeler, a novel layer-wise image vectorization approach that addresses these challenges through a progressive simplification paradigm. The key to LayerPeeler's success lies in its autoregressive peeling [3/8 of https://arxiv.org/abs/2505.23740v1]
May 30, 2025 at 6:20 AM
flexibility. In this paper, we introduce LayerPeeler, a novel layer-wise image vectorization approach that addresses these challenges through a progressive simplification paradigm. The key to LayerPeeler's success lies in its autoregressive peeling [3/8 of https://arxiv.org/abs/2505.23740v1]
More open-source key opinion leaders will understand the hidden layers of strategic innovative vectorization in the first brand penetration
April 23, 2025 at 7:00 AM
More open-source key opinion leaders will understand the hidden layers of strategic innovative vectorization in the first brand penetration
More dynamic key opinion leaders will understand the hidden layers of first principle enthusiastic vectorization in the first full actualization
August 31, 2024 at 4:35 AM
More dynamic key opinion leaders will understand the hidden layers of first principle enthusiastic vectorization in the first full actualization