In summary: SEI’s execution model isn’t just faster — it’s architecturally designed for parallelism at the client level, unlocking performance that traditional single-threaded nodes can’t deliver. #SEI #Blockchain #ExecutionEngine #ParallelExecution #Web3Dev

Built a Quant Execution Bot in Rust — a lightweight market-maker for prediction markets. It simulates quoting, execution, and risk in a fully deterministic research setup. 🦀 Core ideas: • Adaptive bid/ask spreads • Inventory-aware mid-price skew • Simple risk controls (PnL, drawdown, exposure) • Seeded RNG → reproducible experiments The engine: • Simulates taker flow • Matches fills • Tracks inventory & PnL • Emits CSV summaries JSON tick-by-tick traces Designed for fast iteration and analysis. Why Rust? • Performance • Memory safety • Explicit state ownership Perfect for execution research that can later move toward production. Architecture is compact: ExecutionEngine → MarketMaker → MarketState → Logs Easy to extend with: • limit order books • latency models • alternative quoting rules Contribute or experiment! The code is open-source on GitHub - clone, run, or submit PRs to improve the simulator: GitHub Repo github.com/apostleoffinance/… Substack: open.substack.com/pub/apostl… #quantitative #rust #marketmaking #predictionmarkets #trading #simulation #fintech #opensource

The @AltiusLabs Execution Engine isn’t just a tech upgrade. It’s the foundation for modular Web3, running in parallel, efficiently, and at scale. The future is here — and it runs in parallel. 🔗altiuslabs.xyz #AltiusLabs #Web3 #Blockchain #ModularWeb3 #CrossChain #Web2Speed #NextGenInfrastructure #Decentralization #CryptoTech #ExecutionEngine #ParallelExecution #BlockchainInnovation

💥 Altius Labs: Legendary Tech Peak! 💥 ✨ Y'all ready for this level of BDE (Big Dragon Energy)? 🤯 Altius took the blockchain 'Execution Engine' and made it look like the ultimate Scalability Showdown. 🐉⚔️ ⚡️ Altius isn't just an upgrade; it's the legendary hack for modern speed. Red vs. Blue. Code vs. Lag. NO MORE GAS FEES RAGE. 🚀 🔥 Unadulterated execution performance. Tap to hear the CLANG! and feel the VIBES. 👇 @AltiusLabs #AltiusDropzone #AltiusLabs #Web3GlowUp #ExecutionEngine #Blockchain #NoLagsJustGains

Gm fam @edgeX_exchange Nhiều người nghĩ Messenger chỉ là một chương trình dành cho cộng đồng, nhưng từ góc nhìn kỹ thuật, đây là một social execution layer được @edgeX_exchange thiết kế để cải thiện hệ sinh thái dựa trên tín hiệu chất lượng, không phải tương tác ảo. 1️⃣ Messenger hoạt động như một “Feedback Oracle Layer” EdgeX xử lý khối lượng giao dịch rất lớn mỗi ngày. Nhưng hiệu suất hệ thống không chỉ đến từ engine, mà còn từ vòng lặp phản hồi chất lượng cao. Messenger đóng vai trò như: ➝ Human-in-the-loop oracle cho trải nghiệm sản phẩm ➝ Người gửi tín hiệu liên quan đến execution, spread, latency ➝ Nguồn dữ liệu định tính để tinh chỉnh hệ thống orderbook Tức là Messenger không phải KOL → họ là lớp “oracle người thật”. 2️⃣ Thuật toán “Proof-of-Participation”: Xác thực đóng góp bằng dữ liệu EdgeX dùng hai lớp bằng chứng: ➝ Proof of Execution ➝ Proof of Participation Messenger là nhóm người dùng thỏa mãn cả hai: ➝ Volume thật ➝ Thao tác thật ➝ Phản hồi thật ➝ Dấu vết on-chain rõ ràng ➝ Hành vi nhất quán theo thời gian Điểm quan trọng: không farm được, vì thuật toán dựa vào data-weight, không phải engagement-weight. 3️⃣ Messenger như một Evaluation Layer cho hệ thống thanh khoản Từ góc TECH, Messenger giúp EdgeX đánh giá: ➝ Độ ổn định của depth 1–5 ➝ Hành vi orderflow khi biến động ➝ Độ trễ khớp lệnh trong phiên cao tải ➝ Cân bằng thanh khoản tập trung vs phân tán DEX khác dùng dữ liệu bot → EdgeX dùng dữ liệu real traders. 4️⃣ EdgeX dùng Messenger để huấn luyện sản phẩm (product training loop) Pipeline kỹ thuật của EdgeX gồm 3 bước: ➝ Signal extraction Hệ thống lọc tín hiệu từ hành vi Messenger. ➝ Execution mapping Map lại phản hồi với tốc độ khớp lệnh, spread, latency. ➝ Iteration loop Engine/liquidity router được tinh chỉnh theo tín hiệu thật. Tức là Messenger = tập dữ liệu chất lượng cao để tối ưu engine. 5️⃣ Tầm nhìn: Reputation Layer cho trader thực thụ Tương lai, EdgeX có thể dùng Messenger làm: ➝ Reputation layer cho các mô hình thanh khoản tự động ➝ Thước đo rủi ro dựa vào hành vi trader ➝ Hệ số điều chỉnh phần thưởng theo “semantic contribution” ➝ Dữ liệu đầu vào cho mô hình dự đoán biến động thanh khoản Cách kết hợp human signal machine execution giống các hệ thống Web2 lớn. @edgeX_exchange Messenger không phải chương trình cộng đồng. Đó là: ➝ Một lớp dữ liệu ➝ Một oracle xã hội ➝ Một feedback engine tối ưu hệ thống theo thời gian thực Khi kết hợp Messenger với liquidity engine & orderbook tốc độ cao, EdgeX tạo ra: Một pipeline hoàn chỉnh từ user experience → technical signal → system improvement. pro.edgex.exchange/messenger #edgeX #TechInsight #MessengerProgram #OnchainLiquidity #ExecutionEngine

⏳ Only 2 days left! Altius Labs’ Twitter Thread Contest is closing on August 31 🚀 Your last chance to share your vision on modular execution and win: 🏆 Limited Altius Swag 🎟️ Paddock Club Roles 🔥 Featured retweets by @AltiusLabs Don’t miss it up to 5 threads per participant. Creativity, clarity, and originality decide the winners. 👉 Submit now before it’s too late: discord.gg/altiuslabs #Altius #ExecutionEngine

We’re excited to welcome @PocketfulHQ as a Preferred Partner on Cirrus - the multi-broker execution engine built for speed, control & smart order logic. If you're a Pocketful user, you now get FREE access to Cirrus - the ultimate dashboard for multi-account trading. - Faster trades - Smarter control - Zero tab switching 👉 Sign up now: cirrus.trade #Pocketful #Cirrus #PreferredPartner #ExecutionEngine #TradingSimplified #MultiBrokerPlatform

Cirrus is landing at Wealth Expo 2025, Begaluru (@TradersgurukulC ) Join us for a live demo of India’s fastest multi-broker execution engine. 📍 Booth 10 | KTPO, Bengaluru 📆 Aug 9–10 Real trades. One dashboard. Explore here: cirrus.trade/ #CirrusAtWealthExpo #ExecutionEngine #TradingTech #FintechIndia #WealthExpo2025

Not a platform. An execution engine. Try Cirrus live at Booth 10 – Wealth Expo, KTPO Bengaluru. Aug 9–10. Explore: cirrus.trade/ #ExecutionEngine #CirrusAtWealthExpo #FintechTools #MultiBroker

AlgoVol in Action MFT Live orders. Real execution. Seamless performance. Here’s a sneak peek of AlgoVol, our multi-broker execution engine built for traders, institutions, and algo professionals. In this recording — watch MFT trades go through in real-time across accounts using webhook-based signals from TradingView. 🔗 Integrated. 📈 Signal-Driven. ⚙️ Exchange-Compatible. This is just the beginning — from strategy execution to RA advisory, from plug-and-play algos to institutional-grade infra. 👉 DM to know more or schedule a walkthrough. #AlgoVol #TradingTech #ExecutionEngine #Fintech #TradingInfrastructure #AlgoTrading #Webhooks #OptionsTrading #TechForTraders #MultiBroker #QCAlpha #TKAlgo #TK #TanmayKurtkoti

The Eclipse transactionstreamusesa sequencer to order inputs,which are processedthrough the SVM parallel executionengine💴 Updates come after a challenging window of antifraud solutions built into Ethereum,ensuring ultimateity and unwavering resilience against malicious actors👨‍💻

THE SUMMARIES ARE STILL NOT WORKING I KNOW, moving from gemini-flash as all 4 of our gmail accounts got ratelimited lmao, we have better full-context summaries coming than gemini flash 2.0 anyway. h100 donations welcome. x.com/nisten/status/18684079… Preview: # 🚀 Project: Inkwell Test Compiler > **TL;DR:** A Rust-based compiler using Inkwell for LLVM IR generation, with support for basic control structures and type declarations. ## 🎯 Executive Summary This repository implements a simple compiler in Rust that translates an abstract syntax tree (AST) into LLVM Intermediate Representation (IR). The compiler supports basic constructs such as variable declarations, function definitions, loops, and conditional statements. It uses the Inkwell library to interact with LLVM. ### 💫 Key Features - 🔄 Basic control flow compilation (if, loops) - 🛡️ Error handling for unsupported types and expressions - 🔒 Type safety ensured through Rust's type system - 📊 IR dump for debugging - 🤖 Automated testing with Cargo ## 🏗️ Architecture Overview ```mermaid graph TD A[AST] -->|CodeGen| B[LLVM IR] B -->|ExecutionEngine| C[Executable Code] ``` ## 🛠️ Quick Start 1. **Clone & Configure** ```bash git clone git@github.com:your-org/inkwell-test.git cd inkwell-test ``` 2. **Build & Run Tests** ```bash cargo build cargo test ``` 3. **Execute Main** ```bash cargo run ``` ## 🧪 Development Environment ### Prerequisites - Rust 1.60 - LLVM 18 - Cargo ### Local Setup One-liner that actually works: ```bash rustup toolchain install stable && cargo build ``` ## 🔥 Known Gotchas 1. **LLVM Version Compatibility** - Ensure LLVM 18 is installed and configured correctly - Check Inkwell documentation for any breaking changes 2. **Memory Management** - Be cautious with memory allocation and deallocation - Use RAII principles to manage resources 3. **Error Handling** - Handle all possible errors gracefully - Provide meaningful error messages for debugging ## 📈 Monitoring & Metrics - IR dump for debugging - Unit tests for code coverage ## 🔐 Security - Rust's type system ensures type safety - No external dependencies for sensitive operations ## 📚 Further Reading - [Inkwell Documentation](https ://github.com/TheDan64/inkwell) - [LLVM IR Language Reference](https ://llvm.org/docs/LangRef.html) ## 🤝 Contributing 1. Fork the repo 2. Create feature branch 3. Submit PR with tests 4. Wait for review ## ⚡ Performance Tips ```rust // Optimal configuration for LLVM context let context = Context::create(); let module = context.create_module("test"); let builder = context.create_builder(); let execution_engine = module .create_jit_execution_engine(OptimizationLevel::Default) .unwrap(); ``` Built with 🖤 by lantos1618

Well, DataFusion is technically a library. As @andygrove_io says, Velox is an Execution Engine (e.g it can't run SQL directly). DataFusion has an ExecutionEngine as well as a SQL parser, and an optimizer, and is designed to be extensible at all those points.

I once coded up a test rig that had an object type ExecutionEngine. An instance of that object was named 'EE'. Then, as happens, at some point in coding I ended up with a pointer to that execution object, name 'pEE' It was at this point poli-check strongly objected to my code.

Life of a #SQLQuery. Excellent improvements with 1. #Optimizer with #AdaptiveQueryExecution 2. #ExecutionEngine with re-written C and ~10X faster (#JVM #Presto) 3. #Caching with fast store 4. #AuxiliaryDataStructure: #DataSkipping with #DeltaLake transactionlog #dataaisummit

Saturday is the time to open the cards. This is what the Gamekeeper's daughter looked like in the earliest concepts. How do you like it? 💃 #screenshotsaturday #executionengine

JITCompilerを包み込むExecutionEngineが誕生しました

We are going to introduce #Hive over several times……bitnine.net/blog-useful-info… #Bitnine #AgensGraph #ExecutionEngine