Row 31229

Row ID: 31229 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 31229 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I know, I know. While the growth of raw processing power is exponential, in practice... there are nuances.

The growth of memory size, speed and data bandwith wasn't. At such high clock speeds due to latency processor can spend dozens of cycles waiting for data from RAM.

And when we have applications such as LLM's which require terabytes of RAM, cards have to share RAM, processors spend hundreds of cycles waiting.

Also even if the effective growth was exponential, the speed of solving 2D matrices is actually linear.

For 3D matrices sublinear.

FieldValue
text I know, I know. While the growth of raw processing power is exponential, in practice... there are nuances. The growth of memory size, speed and data bandwith wasn't. At such high clock speeds due to latency processor can spend dozens of cycles waiting for data from RAM. And when we have applications such as LLM's which require terabytes of RAM, cards have to share RAM, processors spend hundreds of cycles waiting. Also even if the effective growth was exponential, the speed of solving 2D ma…
label r/artificial
dataType comment
communityName r/artificial
datetime 2024-05-21
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Raw Record

{
  "text": "I know, I know. While the growth of raw processing power is exponential, in practice... there are nuances.\n\n\nThe growth of memory size, speed and data bandwith wasn't. At such high clock speeds due to latency processor can spend dozens of cycles waiting for data from RAM.\n\n\nAnd when we have applications such as LLM's which require terabytes of RAM, cards have to share RAM, processors spend hundreds of cycles waiting.\n\n\nAlso even if the effective growth was exponential, the speed of solving 2D matrices is actually linear.\n\n\nFor 3D matrices sublinear.",
  "label": "r/artificial",
  "dataType": "comment",
  "communityName": "r/artificial",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5Lak1HOWRzcmhYQlZ0dENvY1Vnd2dwTWpLQ0NqQnlpNHJINnFjLXV5a0c4Y1pyRHJLcWVrNm9ULWpXcEI3VHI1cGs2TjZRU3JWcmtqWmhxNU9WTXhQeE9KZi1zMFlRNk9pMldNYnFUOTJvUkxHVW89",
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Entry Information