“Ethereum Mining Lowyat”

“Ethereum Mining Lowyat”

Dear juan jose, I’m experiencing a problem that showed up today, after an unwanted windows update (that I was stopping for about 3 weeks), my mining rig slowed down a 35% in hash rate. I have windows 10. Are you or anyone else you know having the same problem ?
It would mean that I would have to personally persuade each person to send me a little donation and thats simply not worth those 5-10 dollars I initally wanted. Not at all. So I would take some of these developer fees which you wouldn’t get anyway.
I though that developing Ethereum ASIC would be unprofitable because of their plans to switch to PoS, but it seems like Bitmain has calculated otherwise. Maybe it will be usable to mine other coins with the same algorithm. But since it won’t be able to mine all GPU algorithms, GPU mining will still be around for a long time, so if this ASIC will take over ETH mining, current ETH miners will just switch to other coins.
You can use any personal computer to mine Ethereum, provided the system has a Graphic Card (GPU) with at least 2 GB of RAM. Central Processing Unit (CPU) mining is simply an exercise in frustration. It takes an extended period to complete, and the profits are little thanks to the cost. GPUs are your best bet as they are 200 times faster than CPUs when it comes to mining Ether. AMD cards are more efficient than Nvidia cards as well.
   You can also specify negative values if you don’t want to restart miner due to pool connection issues; for example, “-minspeed -50” will restart miner only if it cannot reach 50Mh/s at good pool connection.
All left to do is to simply fire up the platform, allow it to run and use your resources, and sit back and collect as much of that sweet Ethereum as you can muster. The more powerful your machine and the longer you allow it to be used as a mining box, the more Ethereum you are going to be able to accumulate.
Claymore’s miner doesn’t need DAG files now because the GPU can compute the DAG in under 5 seconds. Create an asic designed to do exactly that, and you might get that down to a handful of clock cycles.
On the other hand, GPUs are great calculators for anything, and with a push of a button you can mine a different coin. Now you have the choice – picking and choosing when to mine and which coin to mine. This gives GPUs the and can greatly increase profits.
The Fiji based GPUs such as the Nano and Fury aren’t that cost effective and as the file size increases due to their limited VRAM buffer capacity they do fall well behind the R9 390 series. When it all boils down to it the GTX 1070 looks to be king as it offers solid performance and a very high level of efficiency. The R9 390 and 390X are faster, but will consume much more power.
I had the brilliant idea of combining 10 such 16gb cards, with not but a power supply, small ram chip for bios, and 16 gb of ram and a memory controller, all feeding into 1 FPGA “gateway” device that would send out the work, and the biggest problem I ran into there is a data transfer latency timing issue, where basically I would in theory be submitting all stale shares because, by the time I sent the signal, processed it, sent it back, then received it, then passed it on those 10+ nano seconds would cause me to end up with an effective hash rate of below 1.5 Mh/s. so for 10 cards at 16 gb at a likely cost of $750 per card, or $7500- I could end up with a whopping 240 mh/s @ 2500 watts, IE worse than a rig of Rx 480’s.
So the library has to be accessible, and then the way the algorithm works is by calling a 128 byte “page” out of that 2gb library. Well it doesn’t call them sequentially, it’s at a seemingly random order, and it also calls it a total of 64 times, before mixing it and then comparing it to the current nonce.

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