TSMC’s upcoming N2 fabrication process is set to offer several improvements compared to the current N3E manufacturing technology. It is projected to deliver performance gains of 10% to 15% (at the same power and complexity), while also cutting power consumption by 25% to 30% (at the same clocks and complexity). Furthermore, the shift to the N2 node will likely enhance transistor density by about 15% on average. In general, transition from N3E to N2 brings similar improvements as transition to N3B from N5.
I don’t know how much longer we can keep going before physics ends advancement. Guess this is why quantum computing has been in development for most of my life, but I’m not sure how far off that is given that, as I said, we’ve been pursuing it most of my life and I don’t have a quantum computer. Maybe we’ll discover other breakthrough ways of doing math (I mean, undoubtedly). I’m just not educated enough to fathom the reality of what is possible in these areas.
I don’t know how much longer we can keep going before physics ends advancement.
I remember being told in computer science in the late 90s that we were approaching the limits of what was achievable with known physics / wavelengths and yet here we find ourselves. I’m not sure how they keep improving but they do.
Quantum computers are quite far by now but chances are that you wont want one.
They are meant for stochastics and complex computations where precision is not neccessarily the highest priority. They are by now quite fascinating machines!
Sadly my main source is a German podcast so no link to share.
I don’t know how much longer we can keep going before physics ends advancement. Guess this is why quantum computing has been in development for most of my life, but I’m not sure how far off that is given that, as I said, we’ve been pursuing it most of my life and I don’t have a quantum computer. Maybe we’ll discover other breakthrough ways of doing math (I mean, undoubtedly). I’m just not educated enough to fathom the reality of what is possible in these areas.
I remember being told in computer science in the late 90s that we were approaching the limits of what was achievable with known physics / wavelengths and yet here we find ourselves. I’m not sure how they keep improving but they do.
Quantum computers are quite far by now but chances are that you wont want one. They are meant for stochastics and complex computations where precision is not neccessarily the highest priority. They are by now quite fascinating machines!
Sadly my main source is a German podcast so no link to share.