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Awesome GitHub RepositoriesSRAM-Aware
Techniques for explicitly managing data movement between high-speed on-chip memory and main device memory.
Distinct from Memory Management: Distinct from general memory management: focuses on hardware-specific SRAM utilization for throughput optimization.
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Awesome SRAM-Aware GitHub Repositories
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- dao-ailab/flash-attention
Dao-AILab/flash-attention
24,220Auf GitHub ansehenFlashAttention is an attention mechanism optimization library and machine learning acceleration framework designed to increase training speed and reduce memory footprint for large-scale neural network models. It functions as a collection of low-level CUDA kernels that optimize memory-bound operations to improve hardware utilization on graphics processing units. The library distinguishes itself through an input-output-aware algorithm design that minimizes data movement between different levels of memory. By employing kernel fusion and tiled matrix multiplication, it combines sequential operati
Explicitly manages data movement between high-speed on-chip memory and main GPU memory to maximize throughput.
Python
