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The Powerhouse of the AI Chip
Systolic arrays are the backbone of modern AI chips, moving matrix data locally to achieve speeds 20x to 100x faster than general-purpose computing.
What: Systolic arrays consist of a grid of processing elements that pass data between neighbors, minimizing the need to reach out to high-latency system memory. Their performance is primarily limited by the efficiency of compiler scheduling, which must keep the array saturated.
Why it matters: Understanding systolic array limitations explains why 'flops' on a spec sheet often do not correlate to real-world performance; the bottleneck is almost always memory traffic and efficient data orchestration within the chip.
Decoder
- Systolic Array: A network of processing elements that compute data in a rhythmic, pulse-like fashion, passing intermediate results to neighboring cells to optimize throughput.
Original article
The Powerhouse of the AI Chip
Systolic arrays are the powerhouse of every single modern AI chip, representing over 95% of their total compute. Without them, AI workloads run 20x-100x slower. In this post we’re going to discuss...
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