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Subject: Re: [RFC 1/1] Weighted approach to gather and use history in TEO
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To:     Peter Zijlstra <peterz@infradead.org>
Cc:     linux-kernel@vger.kernel.org, linux-pm@vger.kernel.org,
        rafael.j.wysocki@intel.com, dsmythies@telus.net,
        daniel.lezcano@linaro.org, ego@linux.vnet.ibm.com,
        svaidy@linux.ibm.com, pratik.sampat@in.ibm.com,
        pratik.r.sampat@gmail.com
References: <20200511141055.43029-1-psampat@linux.ibm.com>
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From:   Pratik Sampat <psampat@linux.ibm.com>
Message-ID: <09b8bf40-e371-e1eb-d77e-6c676f22dd29@linux.ibm.com>
Date:   Wed, 13 May 2020 11:01:02 +0530
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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