What Computer Science is Not and How to Learn It
Why Computer Science?
A Brief Overview article The basic theory of computer science is that computers do not compute in a sequential, deterministic manner.
The problem with this theory is that it assumes that computation can be done on a finite set of computers.
Theoretically, computers could be Turing machines that can do multiple calculations simultaneously.
However, the problem is that Turing machines have an exponentially large memory space, which is impractical for all but the largest programs.
Instead, computers can use more efficient, parallel architectures, where all the computation is done on an atomic level.
As a result, a computer with many processors is still possible.
There is also an additional problem with the idea of parallelism.
If a computer can execute a single computation on one processor, it can be difficult to parallelize that computation.
The solution to this problem is to use more than one processor.
The advantage of this approach is that programs that use multiple processors can be run in parallel and can execute multiple concurrent computations on the same machine.
Although there are many different architectures for this approach, the following is a brief overview of the different types of processors that exist: Parallel processors: These processors have the ability to execute multiple simultaneous computations.
They are called parallel processors because they can execute many parallel operations at the same time.
They can run a parallel version of the same program or multiple parallel versions of the exact same program.
Concurrent processors: This type of processor can execute parallel computations simultaneously.
Concurrency is the ability of one program to execute a number of operations on another program.
Because the number of simultaneous operations is limited, the number that can be executed concurrently is limited.
Parallel processors are often referred to as “parallel processing units” because they have a parallel interface to the processor, which makes it easy to parallelise operations.
Synchronous processors: Synchronously parallel processors have a direct connection to the computer and can perform a number (of) simultaneous operations simultaneously.
Syncing a program across multiple processors is also possible.
In addition, many processors have more parallel interfaces to the CPU, which make it possible to parallel-compute a large number of calculations at the computer’s expense.
Concisitional processors: Concisential processors are computers that perform computations in a way that allows multiple simultaneous operations.
These processors can only execute one simultaneous operation at a time, but they can perform multiple simultaneous calculations.
The concisitional processor is often referred as a “batch processor”.
Synchronised and concurrent processors: In addition to the parallel processors, many other types of computing processors are used for parallel computational tasks.
These include “synchronous” processors that can execute simultaneous computational instructions simultaneously, and “comparatively” parallel processors that do parallel computationally independent of the execution of any other concurrent or concurrent program.
For more information on parallel processing, see Parallel Computing.
