Deep Dive into CUDA Graphs for Efficient Kernel Launch Overhead Reduction
CUDA graphs reduce kernel launch overhead by batching operations. They can deliver up to 40% speedups in real-world inference pipelines.
Kernel
Inside gVisor: Building Secure, Low‑Overhead Sandboxes for Containers
gVisor intercepts container syscalls through a user-space kernel called runsc, delivering strong isolation with surprisingly low overhead. This post examines its architecture, syscall interception strategy, and real-world production tradeoffs.
Deep Dive into eBPF: Tracing Kernel Functions for Performance Analysis
A practical deep dive into eBPF kernel tracing, covering function hooking, map-based data collection, and real-world performance profiling patterns.
Inside Linux Namespaces: A Deep Dive into the Kernel Primitives Behind Modern Containers
Namespaces are the unsung kernel feature behind every container runtime. This post walks through the eight namespace types, how they appear in the kernel, and how Docker, Kubernetes, and runc compose them into the isolation boundary you trust in production.
Deep Dive into Copy-on-Write Semantics in Modern Linux Kernels: Architecture, Mechanisms, and Optimization Patterns
A technical walkthrough of Linux COW, covering kernel architecture, fault paths, and proven tuning patterns for real‑world services.