Technical Writing

The Quantization Black Book The definitive engineering reference for 4-bit quantization of large language models — from 70B all the way to 400B parameters. Written for the people who actually have to fold these models onto real hardware and keep them fast, accurate, and deployable. This is not an overview. It is a deep technical field manual covering the full quantization stack: the math, the algorithms, the hardware setup, the calibration process, the runtime kernels, and the memory tricks that make the difference between a model that runs and a model that doesn't.

Diagrams people draw and programs read: how much structure a diagram should carry, and a Java API that reads, changes and renders Draw.io documents with Draw.io's own viewer.

A Deep Systems Engineering Guide to ELF64 Internals, Dynamic Linking, Kernel Loading, Binary Instrumentation, and Executable Runtime ArchitectureEvery executable binary contains more than machine instructions. It encodes the structural information, symbol relationships, relocation rules, memory mappings, and runtime metadata required to transform compiled code into a functioning process. Understanding this transformation requires looking beyond compiler output and examining the mechanisms that connect binary formats, operating-system loaders, dynamic linkers, virtual memory, and processor execution.Mastering ELF: From Bytes to Execution is a comprehensive, implementation-focused engineering reference to the Executable and Linkable Format (ELF), with a particular emphasis on ELF64 internals and low-level runtime behavior. Across 50 chapters, it follows the complete execution pipeline from raw binary structures and defensive parsing to kernel-space loading, dynamic symbol resolution, thread-local storage, exception unwinding, executable modification, and custom loader architecture.

Ever wondered what really happens when text appears on your screen? From character encoding and font files to rendering engines and operating system internals, this book uncovers the technology behind digital typography. Explore how Windows, Linux and macOS turn raw text into readable pixels, with practical insights for developers, engineers and designers.

A Comprehensive Engineering Guide to Linux Kernel Graphics Architecture, DRM/KMS, GPU Memory Management, Command Execution, Scheduling, Virtualization, and Driver Development...

Explore the Software, Computing Architectures, Data Pipelines, and High-Performance Systems Behind Modern High-Energy PhysicsCERN is more than a particle physics laboratory. It operates one of the world's most demanding scientific computing environments, bringing together extreme data rates, heterogeneous hardware, distributed storage, high-performance networking, real-time processing, large-scale simulation, machine learning, and advanced software engineering.Coding CERN: A Technical Developer's Guide explores the computing architecture behind experiments at the Large Hadron Collider (LHC), connecting detector electronics and real-time trigger systems with modern C++, ROOT, distributed computing, GPU acceleration, machine learning, high-performance computing, and global scientific infrastructure.The book takes a developer-oriented approach to the complete scientific computing pipeline, examining how physical events become digital signals, how those signals are filtered and reconstructed, and how the resulting data is stored, distributed, simulated, and analyzed across geographically dispersed computing facilities.

Engineering ultra-low-latency, high-throughput real-time systems with .NET, WebSockets, SignalR, Kestrel, and distributed architectures.Modern real-time applications must maintain persistent connections, process massive event streams, synchronize distributed state, and deliver predictable latency under extreme concurrency.High-Performance Real-Time Systems in .NET is a deep technical guide to designing, optimizing, profiling, and operating real-time systems built on the modern .NET ecosystem.Rather than treating real-time communication as a simple framework feature, this book examines the entire engineering stack, from memory management and network transports to WebSockets, SignalR internals, distributed messaging, Kubernetes, observability, and large-scale load testing.

Master the GPU from the Streaming Multiprocessor to Production-Grade High-Performance KernelsCUDA C++: High-Performance GPU Programming is an advanced technical guide to GPU programming, CUDA execution, memory architecture, kernel optimization, low-level hardware analysis, and high-throughput AI workloads.Designed for engineers who want to move beyond basic CUDA programming, this 53-chapter technical reference explores the NVIDIA GPU programming stack in depth, progressing from Streaming Multiprocessor architecture and SIMT execution to PTX/SASS analysis, Tensor Cores, asynchronous data movement, multi-GPU systems, NCCL, and production inference engines.The book takes a hardware-aware approach to performance engineering. Rather than treating CUDA as a black box, it examines how threads execute, how warps communicate, how memory transactions are formed, and how registers, caches, compiler decisions, and hardware scheduling influence performance. The emphasis is on understanding the mechanisms behind kernel behavior and using that knowledge to make informed optimization decisions.

An Advanced Engineering Reference for GPU Architecture, Low-Level Optimization, and High-Performance ComputingModern GPU programming requires more than exposing parallel work to thousands of threads. It demands an understanding of the relationship between hardware architecture, instruction execution, memory movement, synchronization, and the software systems that coordinate computation across multiple GPUs. Mastering NVIDIA CUDA: Expert GPU Programming is a 100-chapter technical reference for experienced developers, high-performance computing engineers, researchers, and AI systems architects.

An advanced technical reference to Qiskit architecture, IBM Quantum hardware, pulse-level control, error mitigation, quantum algorithms, and scalable quantum-classical computing.Quantum computing is moving beyond the construction of theoretical circuits toward the practical challenge of executing workloads on noisy, hardware-constrained quantum processors. This transition requires a detailed understanding of quantum algorithms, compiler architecture, device topology, calibration, error mitigation, and the classical infrastructure that supports quantum execution. Advanced IBM Quantum Computing and Qiskit Architecture is an 80-chapter technical reference exploring the engineering principles behind modern Qiskit development and IBM Quantum systems. It connects quantum programming abstractions with hardware-aware compilation, runtime execution, performance analysis, and the challenges of building reproducible quantum-classical workflows.

Running a 64-bit instance of Windows Vista Service Pack 2 in 2026 requires careful software version selection. Because modern web browsers and office applications dropped support for Vista years ago, the “latest” version available means finding the final compatible legacy release that runs securely and natively on Vista’s NT 6.0 architecture.