Intel has HyperThreading, and AMD uses HyperTransport, so the logical processor can run threads in parallel with other processors in the chipset. (see A+ 220-701).
That means a multi core processor is using it's separate processors to individually
Parallel processing is a processing method that uses multiple processors simultaneously to execute a single program or task Processor is a electronic component on a computer's motherboard that interprets and carries out the basic instructions that operate the computer
the architeecture of dsp processors supports fast processing arrays and it allows parallel execution. it has separate program and data memories.
Smaller processors are almost always cheaper, and use less electricity. Using a large number of processors in parallel also gives some redundancy, since a single processor node failing will not stop work from being performed.
Don't let their speed in Ghz fool you: each core in a multi-core processor is more powerful than a processor of the previous generation. The motivation for using processors at a lower clock rate and use them in parallel is to 1.) reduce heat and electrical requirements, and 2.) to facilitate better performance for apllications by creating more hardware thread
It means that you are booting with more than one processor (such as the Intel Xeon processors) and thus able to perform infinitely more instructions and data processing.
Don't let their speed in Ghz fool you: each core in a multi-core processor is more powerful than a processor of the previous generation. The motivation for using processors at a lower clock rate and use them in parallel is to 1.) reduce heat and electrical requirements, and 2.) to facilitate better performance for apllications by creating more hardware thread
Parallel processing Parallel processing is the simultaneous processing of the same task on two or moremicroprocessors in order to obtain faster results. The computer resources can include a single computer with multiple processors, or a number of computers connected by a network, or a combination of both. The processors access data through shared memory. Somesupercomputer parallel processing systems have hundreds of thousands of microprocessors.Vector processing"A vector processor, or array processor, is a CPU design wherein the instruction set includes operations that can perform mathematical operations on multiple data elements simultaneously. This is in contrast to a scalar processor, which handles one element at a time using multiple instructions. The vast majority of CPUs are scalar (or close to it). Vector processors were common in the scientific computing area, where they formed the basis of most supercomputers through the 1980s and into the 1990s, but general increases in performance and processor design saw the near-disappearance of the vector processor as a general-purpose CPU.
Using many less powerful processors working in parallel can lead to increased efficiency and improved performance for certain tasks. This approach, often referred to as parallel processing, allows for the distribution of workloads across multiple processors, which can handle smaller, independent tasks simultaneously. This can result in faster processing times, better resource utilization, and reduced energy consumption compared to relying on a single, powerful processor. Additionally, parallel architectures can be more cost-effective and scalable for handling large datasets or complex computations.
There are a number of specifications that make up the Itanium processor. These include 64 bit instruction, parallel processing, multiple cores and running speeds of up to 2.5GHz.
A parallel computing solution involves breaking down a computational task into smaller parts that can be processed simultaneously by multiple processors. This enhances performance by reducing the time it takes to complete the task, as multiple processors work together to solve it more quickly than a single processor could on its own.
Multiprogramming typically requires at least one processor to manage multiple processes concurrently. However, the effectiveness of multiprogramming can be enhanced with multiple processors, as this allows for true parallel execution of processes. In a single-processor system, the CPU rapidly switches between processes to provide the illusion of concurrent execution, while in a multi-processor system, multiple processes can run simultaneously. Ultimately, the number of processors needed depends on the specific requirements and workload of the applications being executed.