CERN is adopting distributed computing models, similar to SETI@home, to process the massive datasets generated by particle physics experiments. This transition leverages global idle processing power to handle the computational demands of the Large Hadron Collider.
I observed IBM’s move into on-demand computing under Sam Palmisano, validating my prediction that tech giants would soon aggregate retail computing power for massive distributed projects, similar to early efforts by Google and Intel.
I examine the rise of commercial distributed computing markets where companies buy idle retail processor time. This model dis-aggregates computing power, enabling resource-intensive initiatives like the Internet Movie Project to be crowdsourced using spare capacity.
I found the Golem project, a distributed computing initiative similar to SETI@home that uses idle screensaver time to design and evolve physical locomoting machines. It is a unique application of evolutionary robotics and crowd-sourced processing.
Distributed.net cracked the RC5-64 encryption algorithm after four years, proving it's unsuitable for long-term security. The project demonstrates the massive potential of distributed computing for solving computationally expensive cryptographic challenges.
I found this fascinating calculation on the physical limits of computing power based on quantum mechanics. It explores the maximum processing speed and memory capacity allowed by the fundamental laws of physics and thermodynamics.