Engineering / advanced
Data movement inside an accelerator
Explain coalescing, caching, shared-memory layout, transfers, and allocation behavior through the actual movement of tensor data.
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Inside this module
Module 01 advanced
Data movement inside an accelerator
Explain coalescing, caching, shared-memory layout, transfers, and allocation behavior through the actual movement of tensor data.
- 01
Global-memory coalescing
Count the sectors touched by active lanes and distinguish request efficiency from measured device-memory traffic.
26 min - 02
Shared-memory bank conflicts
Map words to banks, distinguish conflicts from broadcast, and validate padded or swizzled tensor tiles.
26 min - 03
Register pressure and spilling
Account for rounded register allocation, distinguish local memory from on-chip storage, and optimize measured work rather than occupancy alone.
26 min - 04
Device-cache reuse and bypass
Reason about working sets and cache operators without treating them as ordering primitives or universal performance switches.
26 min - 05
Pinned host memory and transfers
Plan DMA eligibility, overlap conditions, and buffer lifetimes instead of equating an asynchronous API return with transfer completion.
26 min - 06
Asynchronous copy and double buffering
Separate architecture-specific copy mechanisms from the synchronization and capacity needed for a correct tensor pipeline.
27 min - 07
Unified Memory page migration
Distinguish shared addressing, coherence, synchronization, and locality across platform-specific managed-memory implementations.
27 min - 08
Device allocator fragmentation
Read live and reserved accounting correctly, preserve stream-ordered lifetimes, and distinguish suballocator fragmentation from physical-contiguity myths.
27 min - 09
Peer-memory access and locality
Establish peer permissions, ordering, and lifetime before comparing remote tensor reads with local replication.
27 min - 10
Memory-safety checking on devices
Choose the relevant Compute Sanitizer instrument and test boundary cases without confusing clean dynamic runs with a proof.
27 min