This content originally appeared on DEV Community and was authored by Hai Tran
Summary
According to AWS Graviton2 the Arm Graviton provides 34% better price performance than X86. In some sense, it runs faster 34% compared with X86. So I do a small experiment to check this. AWS CDK and CodeBuild with Arm based instance makes it easy to setup. So the Graviton does run about 30% faster than X86. GitHub
- Runtime Python 3.8
- Numpy 1.22.1
- Lambda memory 2048MB
- Lambda timeout 10 seconds
CDK Pipeline
CDK make it very friendly to build this pipeline, feeling like pure programming infrastructure.
Running time for Fibonaci
def recur_fibo(n):
if n <= 1:
return n
else:
return(recur_fibo(n-1) + recur_fibo(n-2))
n = 30 used for testing.
Running time for FFT single thread
data = np.random.rand(8192, 8192)
np.fft.fft(data, axis=0)
Running time for FFT multi-thread (Lambda memory 10240MB)
data = [np.random.rand(8192, 2048) for k in range(4)]
with ThreadPoolExecutor(max_worker=4) as executor:
for x in data:
executor.submit(np.fft.fft, x, axis=0)
This content originally appeared on DEV Community and was authored by Hai Tran
Hai Tran | Sciencx (2022-03-23T00:12:42+00:00) Arm Gravition Versus X86 on Fibonaci and FFT Running Time. Retrieved from https://www.scien.cx/2022/03/23/arm-gravition-versus-x86-on-fibonaci-and-fft-running-time/
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