Communication challenge in ultradense computing devices. Chips are not full speed because communication is not fast enough.
DARPA MoleApps–Aim: 10**15devices/ cm**3
Currently: 17 nm half-pitch,3.5*10**11 /cm**2 demonstrated
Zettaflop workshop 2007
Programming techniques to harness Exaflops [and zettaflops]
–Parallelism is mainstream, but most cores are optimized for serial performance
–Need to design hardware for power and parallelism
– Massive parallelism
– Eliminate scaling bottlenecks replication, synchronization
– Massive parallelism and locality
– Counting Flops is the wrong measure
Enabling technology for Zettaflops
Optical communication and nanomemory.
Systems software for zettaflop systems
Things like billions of threads.
The biggest barrier to exaflops and zettaflops is the heat/power problem. Transistors may be cheap, but the energy they dissipate is not.
• Heat/power is not all in switching hardware; most of it is wattage for communication and memory. And clock switching is increasingly wasteful.
• In the long term, application programmers can help just as much as hardware engineers, by being less sloppy with memory use and precision demands.
We need to have new tools for analyzing power used in software. Less precision is more energy efficient (use just enough precision).
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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