ADATA XPG V1.0 Low Voltage Review: 2x8 GB at DDR3L-1600 9-11-9 1.35 V
by Ian Cutress on December 6, 2013 2:00 PM ESTCPU Compute
One side I like to exploit on CPUs is the ability to compute and whether a variety of mathematical loads can stress the system in a way that real-world usage might not. For these benchmarks we are ones developed for testing MP servers and workstation systems back in early 2013, such as grid solvers and Brownian motion code. Please head over to the first of such reviews where the mathematics and small snippets of code are available.
3D Movement Algorithm Test
The algorithms in 3DPM employ uniform random number generation or normal distribution random number generation, and vary in various amounts of trigonometric operations, conditional statements, generation and rejection, fused operations, etc. The benchmark runs through six algorithms for a specified number of particles and steps, and calculates the speed of each algorithm, then sums them all for a final score. This is an example of a real world situation that a computational scientist may find themselves in, rather than a pure synthetic benchmark. The benchmark is also parallel between particles simulated, and we test the single thread performance as well as the multi-threaded performance. Results are expressed in millions of particles moved per second, and a higher number is better.
N-Body Simulation
When a series of heavy mass elements are in space, they interact with each other through the force of gravity. Thus when a star cluster forms, the interaction of every large mass with every other large mass defines the speed at which these elements approach each other. When dealing with millions and billions of stars on such a large scale, the movement of each of these stars can be simulated through the physical theorems that describe the interactions. The benchmark detects whether the processor is SSE2 or SSE4 capable, and implements the relative code. We run a simulation of 10240 particles of equal mass - the output for this code is in terms of GFLOPs, and the result recorded was the peak GFLOPs value.
Grid Solvers - Explicit Finite Difference
For any grid of regular nodes, the simplest way to calculate the next time step is to use the values of those around it. This makes for easy mathematics and parallel simulation, as each node calculated is only dependent on the previous time step, not the nodes around it on the current calculated time step. By choosing a regular grid, we reduce the levels of memory access required for irregular grids. We test both 2D and 3D explicit finite difference simulations with 2n nodes in each dimension, using OpenMP as the threading operator in single precision. The grid is isotropic and the boundary conditions are sinks. We iterate through a series of grid sizes, and results are shown in terms of ‘million nodes per second’ where the peak value is given in the results – higher is better.
Grid Solvers - Implicit Finite Difference + Alternating Direction Implicit Method
The implicit method takes a different approach to the explicit method – instead of considering one unknown in the new time step to be calculated from known elements in the previous time step, we consider that an old point can influence several new points by way of simultaneous equations. This adds to the complexity of the simulation – the grid of nodes is solved as a series of rows and columns rather than points, reducing the parallel nature of the simulation by a dimension and drastically increasing the memory requirements of each thread. The upside, as noted above, is the less stringent stability rules related to time steps and grid spacing. For this we simulate a 2D grid of 2n nodes in each dimension, using OpenMP in single precision. Again our grid is isotropic with the boundaries acting as sinks. We iterate through a series of grid sizes, and results are shown in terms of ‘million nodes per second’ where the peak value is given in the results – higher is better.
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azazel1024 - Friday, December 6, 2013 - link
Can't really argue most of the points.However, I find it mildly useful. I have a 2x4GB kit in my server, which is on nearly 24/7 (Task scheduler pulls it down to S3 from 1am back awake at 6am, because no one is ever awake to use it them).
I can run it at 1.2v since it is a G1610 Celeron, so only 1333mhz and its a G.Skill Sniper 1.25v DDR3 1600Mhz kit. Lowest I could go before was a single DIMM 4GB 1.5v module I could run at 1.4v before things got wonky.
Difference between the two DIMMs at 1.2v and 1.5v though is around 1.5W at idle on my kill-a-watt and around 2-3w when hitting the server with a heavy load. Not much, but it is a bit of green ePeen for me, and the thing does run close to 24x7. Sure, its still probably only $2 a year, but I am hoping to get several years out of the machine or at least the memory.
My desktop has 1.35V CAS9 kit in it, 4x4GB Mushkin DDR3 1600 kit. The advantage there is it'll run at 1866Mhz CAS10 and 1.38v stable. It was cheaper than any 2x8GB kits on the market at the time and actually slightly cheaper than any 4x4GB DDR3 1866 kits.
Case temp is a degree lower at 1.38v than at 1.5v and it also runs about 4w less under load.
It isn't much, but I pride myself on having low(ish) power setups, as well as running as quiet and cool as I can, plus especially the 16GB kit in my desktop, it was actually cheaper to get the LoVo memory and upclock it to 1866Mhz than it was to get a native 1866Mhz kit at the time.
The Von Matrices - Friday, December 6, 2013 - link
You make a very good point that I never though of before.S3 sleep still provides power to refresh the memory. If you are like me and never shut down your computer (instead using sleep) then your memory is consuming energy 24/7 no matter how infrequently the computer is powered on.
If you don't use your computer a lot but do use sleep, then the memory could account for a significant portion of the computer's overall energy consumption.
gamoniac - Sunday, December 8, 2013 - link
I have my server running 24x7, too, but the saving here is really not that significant. Basically, accidentally leaving a 60-watt light blub on over night would undo months of saving gained from this low-voltage RAM.ShieTar - Tuesday, December 10, 2013 - link
You're supposed to replace those bulbs by 10-watt LEDs as well ;-)It's not always about the current saving potential. Sure, 1W of 24/7 usage is only 2$ to 3$ of savings, depending on where you live, today. But with the increasing number of customers and constant or decreasing sources for electricity, it makes sense for us as a civilization to invest into power-saving technologies. So the low-voltage RAM is a fundamentally good Idea, and if the combined cost of Hardware and Electricity is comparable to normal-voltage modules, it makes plenty of sense to buy them. Even if you don't save enormous amounts of money right now, at least this module can now become the new baseline if everybody goes for it.
MrSpadge - Sunday, December 8, 2013 - link
During sleep the data in memory is refreshed, but I'm pretty sure there is no clock signal supplied, so it's not actually working. Hence power consumption should be significantly lower than running normally, I gues by about 1 to 2 orders of magnitude.JoannWDean - Saturday, December 14, 2013 - link
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What about heat? The real target market for these seems to be people (like me) interested in making true silent high performance PCs. Because its nearly 2014 and it's time to stop putting leaf blowers on the side of your case to play a video game.I would be interested in seeing what difference the voltage makes, and the comparison to the other kits.
BigLeagueJammer - Friday, December 6, 2013 - link
Here's an article with tests performed by Puget Systems:http://www.pugetsystems.com/labs/articles/Technolo...
The conclusion they found was that the lower voltage RAM made a 1-2 degree difference in CPU temperatures. That's not huge, but if you're striving for a really quiet build, it could help make it little bit more quiet.
MrSpadge - Sunday, December 8, 2013 - link
Playing a game you probably have a CPU+Mainboard+RAM drawing about 100 W, and a GPU drawing at least 100 W. Now subtract 1 to 2 W from low voltage RAM from this and you get less than 1% difference. This won't be audible even in direct comparisons.extide - Friday, December 6, 2013 - link
Regarding Low TDP CPU's.A lot of people don't seem to realize that Low TDP CPU's are basically the exact same thing as a regular TDP chip, except they don't turbo as much, hit as high freq/etc.
The point is a 84W i7 4770 will idle down just as low as a 35W i7-4765T, for example. It is only when the CPU is fully pegged that the lower TDP actually makes a difference.
For a normal desktop user, just browsing the internet/etc, this means that a 84W chip vs a 35W chip will make almost no difference, especially if they are the exact same configuration. (quadcore vs dualcore, same number of EU's in the graphics, etc) The CPU is idle/clocked down via speed step/etc most of the time anyways.
Back in the day, there used to be a bigger difference as the low-TDP chips had the same clocks and performance as the regular ones but ran on less volts. Back then, those low power chips were great. These days the low TDP ones typically run in similar voltage ranges, and whatnot but essentially their ability to reach into the higher ranges (voltage, clockspeed, etc) is significantly reduced. They are basically the exact same chips. There may be some mild binning involved, but if you really want a good-binned CPU for low power then you will probably need to get a mobile/laptop chip.
So basically unless you are running F@H or something, a T or S series CPU is really pointless. Unless you are an OEM, and NEED to strictly adhere to some thermal limit due to a small cooler or something, I see almost zero reason to go for a T/S series CPU, ES{ECIALLY when they typically cost more!
I see lots of people using T/S series cpu's in things like PC-based routers. That is a prime example of a place where it is pointless to do so, because the cpu will be idle 99% of the time anyways, and a normal TDP chip can clock/volt down just as much as a low tdp chip.
Just some food for thought. Sorry, it is a tiny bit off-topic with regards to the actual article, but you do mention power savings and low TDP chips in there.