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Date:   Wed, 13 May 2020 11:01:02 +0530
From:   Pratik Sampat <psampat@...ux.ibm.com>
To:     Peter Zijlstra <peterz@...radead.org>
Cc:     linux-kernel@...r.kernel.org, linux-pm@...r.kernel.org,
        rafael.j.wysocki@...el.com, dsmythies@...us.net,
        daniel.lezcano@...aro.org, ego@...ux.vnet.ibm.com,
        svaidy@...ux.ibm.com, pratik.sampat@...ibm.com,
        pratik.r.sampat@...il.com
Subject: Re: [RFC 1/1] Weighted approach to gather and use history in TEO
 governor

Thanks for your comment.


On 12/05/20 11:07 pm, Peter Zijlstra wrote:
> Just a quick note..
>
> On Mon, May 11, 2020 at 07:40:55PM +0530, Pratik Rajesh Sampat wrote:
>
>> +	/*
>> +	 * Rearrange the weight distribution of the state, increase the weight
>> +	 * by the LEARNING RATE % for the idle state that was supposed to be
>> +	 * chosen and reduce by the same amount for rest of the states
>> +	 *
>> +	 * If the weights are greater than (100 - LEARNING_RATE) % or lesser
>> +	 * than LEARNING_RATE %, do not increase or decrease the confidence
>> +	 * respectively
>> +	 */
>> +	for (i = 0; i < drv->state_count; i++) {
>> +		unsigned int delta;
>> +
>> +		if (idx == -1)
>> +			break;
>> +		if (i ==  idx) {
>> +			delta = (LEARNING_RATE * cpu_data->state_mat[last_idx][i]) / 100;
> 100 is a crap number to divide by as a computer. We bio-puddings happend
> to have 10 digits, so 100 makes sense to us, but it does not to our
> binary friends.
>
>
Absolutely! I just wrote the code exactly the way I did the Math on paper,
definitely need to figure out an optimal way of doing things.

~Pratik

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