GPU Memory Hierarchy & Optimization
Master GPU memory hierarchy from registers to global memory, understand coalescing patterns, bank conflicts, and optimization strategies for maximum performance
8 min readConcept
Tagged with
performance
Explore machine learning concepts related to performance. Clear explanations and practical insights.
19
Concepts Found
Concepts Related to performance
CPU Pipeline Architecture
Deep dive into CPU pipeline architecture covering 5-stage RISC pipelines, data hazards, control hazards, superscalar execution, and out-of-order processing.
4 min readConcept
Mount Options: Fine-Tuning Filesystem Behavior and Performance
Master Linux mount options like noatime and async for performance tuning and security hardening. Interactive guide to fstab configuration.
9 min readConcept
Python Optimization Techniques
Python performance optimization guide: CPython peephole optimizer, lru_cache, profiling with cProfile, and Python 3.11+ adaptive bytecode specialization.
7 min readConcept
Green Threads vs OS Threads: Understanding Concurrency Models
Compare Python green threads vs OS threads. Learn asyncio coroutines, gevent, context switching costs, and when to use each concurrency model.
8 min readConcept
XFS: High-Performance Parallel Filesystem
XFS filesystem internals: allocation groups, extent-based allocation, and delayed allocation for high-performance parallel I/O.
4 min readConcept
Flynn's Classification: Taxonomy of Computer Architectures
Explore Flynn's Classification of computer architectures through interactive visualizations of SISD, SIMD, MISD, and MIMD systems.
5 min readConcept
CPU Pipelines & Branch Prediction: Modern Processor Architecture
Explore CPU pipeline stages, instruction-level parallelism, pipeline hazards, and branch prediction through interactive visualizations.
9 min readConcept
Hazard Detection: Pipeline Dependencies and Solutions
Master pipeline hazards through interactive visualizations of data dependencies, control hazards, structural conflicts, and advanced detection mechanisms.
9 min readConcept
CPU Cache Lines: The Unit of Memory Transfer
Learn how CPU cache lines transfer data between memory and cache. Understand spatial locality and optimize memory access patterns for better performance.
4 min readConcept
Memory Access Patterns: Sequential vs Strided
Master sequential vs strided memory access patterns. Learn how cache efficiency and hardware prefetching affect application performance.
4 min readConcept
Memory Interleaving: Parallel Memory Access
Discover how memory interleaving distributes addresses across banks for parallel access. Boost memory bandwidth in DDR5 and GPU systems.
5 min readConcept
NUMA Architecture: Non-Uniform Memory Access
Explore NUMA architecture and memory locality in multi-socket systems. Understand local vs remote memory access latency and optimization strategies.
5 min readConcept
Transparent Huge Pages (THP): Reducing TLB Pressure
Learn how Transparent Huge Pages (THP) reduces TLB misses by promoting 4KB to 2MB pages. Understand performance benefits and memory bloat tradeoffs.
11 min readConcept
SoA vs AoS: Data Layout Optimization
Master Structure of Arrays (SoA) vs Array of Structures (AoS) data layouts for optimal cache efficiency, SIMD vectorization, and GPU memory coalescing.
6 min readConcept
Understanding NVIDIA Persistence Daemon
Eliminating GPU initialization latency through nvidia-persistenced - a userspace daemon that maintains GPU driver state for optimal startup performance.
11 min readConcept
Understanding num_workers
Deep dive into PyTorch DataLoader num_workers parameter: how parallel workers prefetch data, optimal configuration, and common pitfalls.
5 min readConcept
Pinned Memory and DMA Transfers
Understanding PyTorch pin_memory for faster CPU to GPU data transfers using DMA (Direct Memory Access) and page-locked memory.
5 min readConcept
CPU Performance & Optimization
CPU performance optimization: memory hierarchy, cache blocking, SIMD vectorization, and profiling tools for modern processors.
6 min readConcept