In a new article, Ethereum is investigating co-founder Vitalik Buterin memory access time, one of the most overlooked limitations in computer use and how a better understanding of it can change the way in which cryptographic systems are developed. Although the subject seems extremely technical, it has a direct influence on the potential efficiency of block chains, cryptographic evidence and even AI models.
Problem with memory access
Buterin argues that it is incorrect to believe that reading or writing for memory takes a fixed amount of time, as is often done in computer science. On the contrary, he presents a model that proposes that the cube root of memory size determines the memory access period. Simply put, the collection of data from your memory is becoming increasingly slower as it gets bigger because signals have to make larger physical distances.
He provides evidence from the real world to support this, which shows that the time needed to access data with memory size, from CPU caches to RAM, which surprisingly matches his theoretical model. This realization goes further than just academic nitpicking – it radically changes the way we think about algorithm optimization, in particular in the field of cryptography, where it is typical practice to calculate and store interim results in advance.
Blockchain -Memory Management Solve
Vitalik Buterin uses an example with elliptical curve cryptography, a fundamental part of blockchain protection, to prove this point. To accelerate processes, developers often make large tables with numbers in advance. However, any speed gain can be lost, if the tables become too large to fit into the cachege memory due to the delay caused by more memory access. A smaller cache-fitting table turned out to be faster than a larger one in one of his tests in RAM kept.
The conclusion is simple but in -depth: efficiency in cryptography includes more than just faster processors – it also includes intelligent more memory management. Understanding the principle that he can be constructed can steer the hardware optimization of future blockchain and zero kennis systems, while the industry is shifting to specialized hardware such as Asic’s and GPUs.