Here's a Julia program that demonstrates several key features of the language:
# Import plotting package
using Plots
# 1. Multiple Dispatch and Type System
struct Circle
radius::Float64
end
jakehemmerle
/ silicon_tg_vs_gpu_core_and_bandwidth.py
Created
October 30, 2024 16:18
Apple Silicon: Token Generation as a function of GPU-core count and Memory Bandwidth
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| # Corrected code based on column label error in previous attempt | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| # Define the data | |
| data = { | |
| 'Model': ['M1', 'M1', 'M1 Pro', 'M1 Pro', 'M1 Max', 'M1 Max', 'M1 Ultra', 'M1 Ultra', | |
| 'M2', 'M2', 'M2 Pro', 'M2 Pro', 'M2 Max', 'M2 Max', 'M2 Ultra', 'M2 Ultra', | |
| 'M3', 'M3', 'M3 Pro', 'M3 Pro', 'M3 Max', 'M3 Max', 'M3 Ultra', 'M3 Ultra'], | |
| 'BW_GB_s': [68, 68, 200, 200, 400, 400, 800, 800, 100, 100, 200, 200, 400, 400, 800, 800, 100, 100, 150, 150, 300, 400, 800, 800], |
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| ### Keybase proof | |
| I hereby claim: | |
| * I am jakehemmerle on github. | |
| * I am jakehemmerle (https://keybase.io/jakehemmerle) on keybase. | |
| * I have a public key whose fingerprint is C3AA 89FE 42B9 7125 4FEA 03EE ACD6 30AC 0C03 98B6 | |
| To claim this, I am signing this object: |