{ "item_title" : "Low-Latency AI Trading Kernels in C++20", "item_author" : [" Takehiro Kanegi", "Alice Schwartz", "James Preston "], "item_description" : "Reactive PublishingMaster the engineering of ultra-low latency AI trading systems with this technical deep dive into modern C++20, GPU acceleration, and FPGA prototyping.This book explores the complete pipeline for building high-performance trading kernels capable of executing deep reinforcement learning (Deep RL) and neural PDE policies at extreme speeds. You will examine production-grade implementations using C++20 features, CUDA and GPU optimization techniques, and FPGA-based acceleration strategies designed for sub-microsecond decision cycles in live markets.Key topics include: Modern C++20 architectures for low-latency kernel designGPU acceleration patterns for neural network inference in tradingFPGA prototyping workflows for custom hardware accelerationIntegration of Deep RL agents and neural PDE solvers into real-time execution enginesMemory management, concurrency, and deterministic performance optimizationsWritten for quantitative developers, high-frequency trading engineers, and AI systems programmers, this book provides detailed code examples, architectural diagrams, and practical implementation guidance for building next-generation low-latency trading infrastructure.Ideal for readers with strong backgrounds in C++, GPU programming, and machine learning who want to push the boundaries of execution speed in algorithmic trading.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/818/033/9798180331328_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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