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tesla announcing home batteries at 350$/kW

Let's do some simple maths... Here in UK, example "economy 7" tarif yields night kWh approx. 12 pence cheaper than during day. Let's say the goal is to store energy equivalent to running a 2kW storage heater for 6 hours during the day. We need 12 kWh, so 12 times $350 this means need to spend approx. 1920 pounds for batteries. Time to break even at ROI: 1920 / 0.12 ~ 7.3 years... And this is assuming using the heater 365 days a year, and quite an expensive tariff (prepaid). SIWB :-)

Also need to take into account that battery capacity tends to go down with time and usage

Quoting Elon Musk, "it does seem kinda wrong"...

Is it just me but isn't this just needlessly complicated? I mean, you can design the plug on the car, its horizontal and symmetric. Why not just translational motors. Probably because its boring and one wants to make a metal Dr. Octavius tentacle of course

Precisely!

who wants 100 cores ... future of PAGMO?

The problem with this flurry of activity today regarding multicore architectures is that it is really unclear which one will be the winner in the long run. Never understimate the power of inertia, especially in the software industry (after all, people are still programming in COBOL and Fortran today). For instance, NVIDIA gives you the Teslas with 10000 cores, but then you have to rewrite extensive parts of your code in order to take advantage of this. Is this an investment worth undertaking? Difficult to say, it would certainly be if the whole software world moves into that direction (which is not happening - yet?). But then you have other approaches coming out, suche as the Cell processor by IBM (the one on the PS3) which has really impressive floating point performance and, of course, a completely different programming model. The nice thing about this Tilera processor seems to be that it is a general-purpose processor, which may not require extensive re-engineering of existing code (but I'm really hypothesizing, since the thechincal details are not very abundant on their website).

Moreover PaGMO computation model is more towards systems with distributed memory, and not with shared memory (i.e. multi-core). In the latter, at certain point the memory access becomes the bottleneck.

Graphic cards in the core of a supercomputer.

Finally a massively multi-core general-purpose architecture.

Well, nice, but I wonder how much cache per core will be available... With 48 cores a single memory bus becomes nothing more than one big (small? :) ) bottleneck.

Apparently they have separated L2 cache per-tile (i.e., every two processors) and a high speed bus connecting the tiles. As usual, whether it will be fast enough will depend from the specific applications (which BTW is also true for other current multi-core architectures). The nice thing is of course that porting software to this architecture will be one order of magnitude less difficult than going to Tesla/Fermi/CELL architectures. Also, this architecture will also be suitable for other tasks than floating point computations (damn engineers polluting computer science :P) and it has the potential to be more future-proof than other solutions.

In the Planetary Science Vision 2050 Workshop a cool concept for a magnetic dipole sitting at Mars L1 with an estimated field of 1-2 Tesla was proposed to shield Mars from Solar Winds and provide an elementary magnetic shielding to Mars.