Future of Processors and Memory
There are necessary components in a computer, such as the processing hardware, input hardware, and output hardware. The computer is defined by the CPU and memory, which are types of hardware. The data and program operations in the machine get stored in the memory. That is when the execution of a program is taking place. There are several types of volatile and non-volatile memory. They include cache, registers, virtual memory, and RAM. How the CPU performs can be affected by the memory, clock speed, and the number of cores.
A radical departure from the computers that were traditionally used, their algorithms, and the quantum computers is represented by memcomputing. Memory is a physical property that is shared by the quantum and non-quantum systems. Programmers find it easy to mitigate latencies of events in time scales of nanosecond and millisecond in computers. The DRAM, which is a type of memory accesses at hundreds and at least tens of nanoseconds and disk I/Os at just a few milliseconds (Di Ventra & Pershin, 2015). The only limitation of this is the handling of microsecond-scale computers. The new breed of low latency I/O devices that range from datacenter networking to emerging memories has become paramount to get handled.
The computer uses a microprocessor to function. The microprocessor contains other processors such as the graphic processor unit (Barroso, Marty, Patterson & Ranganathan, 2017). The network cards and sound cards are also a part of the microprocessors. A microprocessor consists of a CPU and is considered more than that. The performance of microprocessors has grown 1000 folds over the years. It is driven by the energy scaling, transistor speed, and advances of the microarchitecture. The microarchitecture advances took advantage of the destiny gains of the transistor from Moore’s Law.
Designers of the processor have come up with various techniques that facilitate a hierarchy of deep memory that works at the scale of nanoseconds. It gives a programming interface that is simple and synchronous to the system of the memory. A host of sophisticated Microarchitecture techniques enable high performance and supports the intuitive model of programming. Examples of these techniques are such as out-of-order execution, prefetching, and branch prediction. The hardware primarily performs interactions of a low level since devices of a nanosecond- scale are fast.
Transistor-speed scaling, core microarchitecture techniques, and cache memories are the key technology drivers that have enabled rapid growth in the performance of a microprocessor. The transistor-speed scaling is used to reduce the dimensions of the transistor by thirty percent after every two years.it also keeps the electric fields constant in the conductor, which ensures there is reliability. The core microarchitecture techniques have enabled there is enough capacity of transistor-integration, and deploying an array of technologies that is dizzying, which includes presenting a performance that is always increasing among others.
In conclusion, there is a probability that the memory could wed the processor cores. It could consist of the entire memory that a computer could require. Merging memory directly to the processor has a likelihood of having benefits. The processor and memory pass or instead exchange data via a memory controller. The memory controller is much slower than the processor. It is considered to be one of the significant bottlenecks in the performance of a computer. The processor cores could get memory from a memory chip wedded to it. It is not necessary to keep processor pipelines busy for techniques to enable devices of micro-second-scale.
References
Barroso, L., Marty, M., Patterson, D., & Ranganathan, P. (2017). Attack of the killer microseconds. Communications of the ACM, 60(4), 48-54.
Di Ventra, M., & Pershin, Y. V. (2015). Just add memory. Scientific American, 312(2), 56-61.
