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Glossario IA

Il dizionario completo dell'Intelligenza Artificiale

162
categorie
2.032
sottocategorie
23.060
termini
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Thread Divergence

Phenomenon where threads within the same warp take different execution paths, causing branch serialization and significantly reducing parallel performance on GPU.

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Shared Memory Bank Conflicts

Contention that occurs when multiple threads from the same warp attempt to simultaneously access the same memory bank of shared memory, causing access serialization.

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Warp Scheduling

GPU scheduler mechanism that optimizes warp scheduling to maximize compute unit utilization and hide memory latency.

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Register Spilling

Phenomenon where the compiler must move data from registers to local memory (slow) when registers are insufficient, significantly degrading performance.

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Instruction Throughput

Measure of the number of instructions that can be executed per clock cycle, optimized by favoring native arithmetic operations and avoiding complex instructions.

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Grid Stride Loop

Loop pattern where each thread processes multiple elements spaced by the total grid size, allowing processing of datasets larger than the thread grid.

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Loop Unrolling

Optimization technique that eliminates loop iterations by duplicating the loop body, reducing loop control overhead and increasing instruction-level parallelism.

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Memory Latency Hiding

Strategy of launching enough warps so the GPU can switch to ready warps while others wait for memory accesses.

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Vector Memory Operations

Instructions that transfer multiple data simultaneously (float2, float4) between global memory and registers, improving effective bandwidth.

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Cooperative Groups

CUDA API allowing flexible and collective synchronization between threads beyond traditional block boundaries, optimizing complex communication patterns.

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Texture Memory Caching

Use of texture memory with its optimized cache for spatial accesses, particularly effective for access patterns with 2D locality.

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Atomic Operations Optimization

Techniques to reduce contention on atomic operations, notably by using shared memory for local aggregation before global update.

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Kernel Launch Overhead

Time cost associated with launching a GPU kernel, minimized by merging multiple small kernels into one larger one or using dynamic parallelism.

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Work Distribution Balance

Optimization of work distribution between threads to avoid load imbalance where some threads finish much earlier than others.

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Prefetching Strategy

Anticipatory technique of loading data into shared memory before their use, thus hiding the latency of global memory accesses.

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