Memory-Management

NVIDIA Hopper GPU architecture with sparse tensor cores and memory hierarchy illustration

Architecting Sparse Tensor Computations on NVIDIA Hopper: A Guide to Efficient Memory Management

A practical guide to managing memory and optimizing sparse tensor operations on NVIDIA Hopper GPUs for AI and HPC workloads.

Redis Cluster architecture diagram showing memory distribution across shards

Optimizing Redis Cluster Eviction: Predictable Latency Under Memory Pressure

Redis Cluster eviction under memory pressure is a common source of unpredictable latency spikes. This post breaks down the eviction mechanics, identifies the failure modes, and provides concrete strategies to keep p99 latency stable.

Stylized diagram of GPU memory blocks being cached and reused across allocations.

Optimizing GPU Memory Pools: Inside PyTorch's CUDA Caching Allocator

PyTorch’s CUDA caching allocator hides the cost of repeated allocations by recycling VRAM in fixed-size blocks. Here’s how it works, why it matters at scale, and how to squeeze more performance out of it.

Diagram of JVM and .NET generational heap layers.

Deep Dive into Generational Garbage Collection: Memory Management in Modern JVM and .NET Runtimes

A technical walkthrough of generational GC in Java and .NET, covering heap layout, pause characteristics, and practical tuning strategies for production systems.

Diagram of copy‑on‑write page sharing in Linux.

Deep Dive into Copy-on-Write Semantics: Memory Management and Performance in Modern Linux Kernels

A technical walkthrough of COW in modern Linux kernels, covering the VM architecture, fault handling, performance trade‑offs, and production‑ready patterns.