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2. Attention Optimizations: From Standard Attention to FlashAttention
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Atharv Yeolekar PRO
atharv6f
AI & ML interests
LLMs (Inference Primarily)
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2. Attention Optimizations: From Standard Attention to FlashAttention
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2.2c: FlashAttention — IO Analysis and Evolution
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2.2c: FlashAttention — IO Analysis and Evolution
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2.2b: FlashAttention — Online Softmax
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2.2a: FlashAttention — The Tiling Strategy
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2.1: Standard Attention — The IO Problem
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1.7: Optimization Landscape — Phase-Specific Strategies
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1.6: The Utilization Paradox — Quantitative Analysis
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1.5: Decode — Computational Deep Dive
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1.4: Prefill — Computational Deep Dive
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1.3: The Two Phases Defined — Prefill and Decode
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1.2: The KV Cache — How It Eliminates Redundancy
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1.1: The Autoregressive Loop and the Redundancy Problem - LLM Inference
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