Filesystem Journaling: Write-Ahead Logging
Learn how filesystem journaling prevents data loss during crashes. Explore write-ahead logging and recovery in ext4 and XFS.
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ML Concepts - Page 6
Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
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Concepts - Page 6
Inodes: The Hidden Metadata That Powers Every File
Understand Linux inodes - the metadata structures behind every file. Learn about hard links, soft links, and inode limits.
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Memory Access Patterns: Sequential vs Strided
Master sequential vs strided memory access patterns. Learn how cache efficiency and hardware prefetching affect application performance.
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Pooling Strategies
How a transformer’s per-token outputs become one embedding: CLS, mean, max, last-token, and attention pooling — what each does and when to use it.
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CUDA Context vs Streams vs MPS: Which Layer Fixes What
Decision map for CUDA: a context is per-process GPU state, a stream is an in-order queue inside a context, and MPS shares one context across processes. Pick the layer that matches the problem.
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Flynn's Classification: Taxonomy of Computer Architectures
Flynn's Classification explained — SISD, SIMD, MISD, MIMD with interactive architecture explorer, SIMD evolution from MMX to AMX, branch divergence visualization, and workload-architecture throughput comparison.
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Showing 31-36 of 191 articles