#executableoptimization 搜索结果
𝗧𝗼𝗽 𝟮𝟬 𝗦𝗤𝗟 𝗾𝘂𝗲𝗿𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 Here is the list of the top 20 SQL query optimization techniques I found noteworthy: 1. Create an index on huge tables (>1.000.000) rows 2. Use EXIST() instead of COUNT() to find an element in the…
a C programmer resisting the urge to spend four days optimizing code that's I/O bound anyway
𝗧𝗼𝗽 𝟮𝟬 𝗦𝗤𝗟 𝗾𝘂𝗲𝗿𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 Here is the list of the top 20 SQL query optimization techniques I found noteworthy: 1. Create an index on huge tables (>1.000.000) rows 2. Use EXIST() instead of COUNT() to find an element in the…
GN CT💥 >> @cysic_xyz has developed a custom framework that combines hardware acceleration with optimized software to deliver maximum performance. – Hardware layer: Efficient workload distribution across both CPUs and GPUs – Software layer: Purpose-built, highly optimized ZK…
I have fine-tuned over 100 different LLMs/VLMs for various use cases over the last 1–2 years, and here is my framework whenever I pick a new project or problem statement: 1. Benchmark/Evals Any problem you are solving for should have an evaluation set that you can easily…
Just implemented an obvious optimization that I've been meaning to implement for years. It made our code 40% slower.
The execution layer landscape has become quite crowded. The rise in rollup frameworks has exacerbated this trend. We did our best to map out the landscape and came to some interesting (possibly controversial) conclusions. Read the full piece here: blog.stratos.xyz/articles/the-e… TLDR↓
Modern processors rely on instruction pipelines to maximize execution efficiency and throughput, and compilers leverage this to generate optimized machine code. In a two-part series, @bekket_mcclane focuses on LLVM’s scheduling model, showing how it models latency, throughput,…
Because speed isn’t luck, we “Optimize Like a Pro, When Migrations Crawl”🐢 @ezrayendau dived deep into advanced performance optimization, exploring smarter migrations, efficient queries, and techniques to make apps fly.⚡ - it’s #design, not devine🧠 #PyHo2025 #WebPerformance
📊 Performance Analysis Workflow in n8n! ⚙️ Sections: 🟡 Trigger & Config 🔵 Fetch Data 🔴 Declining URLs 🟢 Gaining URLs 🔍 Detect issues 📈 Spot growth 🔥 Built for SEO + content teams 🔁 Like + RT 💬 Comment “SEND” 🤝 Follow for full workflow DM
React Performance Tip #12: Since modern CPUs are square, format your code to exact squares to make sure it fits on the CPU as efficiently as possible. This ensures that the CPU can directly execute the optimized format and will execute code much faster! 🤯
AGII develops predictive optimization frameworks to enhance smart contract performance and blockchain execution. Read more: apnews.com/press-release/…
I have seen this many times in my career. When optimizing, spend 90% of your time tuning the top 10% of anything in terms of volume. Spend the remaining 10% on the other 90%. This is true for database queries, program methods and algorithms.
Developer kept complaining our RDS instance was too slow. Wanted to upgrade from db.t3.large to db.r5.8xlarge. Cost increase: $140/month to $3,400/month. I checked query performance first: - Query ran 47,000 times per hour - No indexes on the WHERE clause columns - Missing…
Really great article for optimization really great article on optimization for software developers -multi-variable optimization is an incredibly useful tool for writing software -maths with cs stuffs
New post! Optimizing End to End Agent Workflows with @DSPyOSS optimizers: Differentiable Programming for Learnable Graphs How learnable graphs reduce manual tuning, scale decision-making, and make LLM workflows self-improving. (Link below)
This prompt reveals what you're actually optimizing for (hint: it's probably not what you think)
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